River Flood and Bank Erosion Risk Management Program (Financed by the Japan Fund for Poverty Reduction)

Home , Banar River, Baral river, Barisal District, Basail Upazila, Belkuchi Upazila, Bera Upazila

Technical Assistance Consultant’s Report

Project Number: 44167-012 December 2013

Bangladesh: Main River Flood and Bank Erosion Risk Management Program (Financed by the Japan Fund for Poverty Reduction)

Prepared by Northwest Hydraulic Consultants, Canada

In association with Resource Planning and Management Consultants Ltd., Bangladesh

For Bangladesh Water Development Board

This consultant’s report does not necessarily reflect the views of ADB or the Government concerned, and ADB and the Government cannot be held liable for its contents. (For project preparatory technical assistance: All the views expressed herein may not be incorporated into the proposed project’s design.

Government of the People's Republic of Bangladesh

Bangladesh Water Development Board

Project Preparatory Technical Assistance No. 8054 BAN

Main River Flood and Bank Erosion Risk Management Program

Final Report, Annex B Background Data

September 2013

In association with

Resource Planning & Management Consultants Ltd.

Asian Development Bank

Funded by the Japan Fund for Poverty Reduction

Government of the People’s Republic of Bangladesh Bangladesh Water Development Board

Project Preparatory Technical Assistance 8054 BAN Main River Flood and Bank Erosion Risk Management Program

Final Report, Annex B Background Data

September 2013

PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Document Background

Title: NWRD, Socio-economic data and Surveys & Field Visits, Annex B Annex B1: NWRD Principal Author: Zakia Akter, CEGIS Contributions: Md. Mostafizur Rahman (Shibly), CEGIS Annex B2: Socio-Economic data Principal Author: Tod Ragsdale Contributions: Annex B3: Surveys Principal Author: Tod Ragsdale, Md. Osman Ghani Contributions: Jesper Mathiesen Final version: August 2013, Reprinted 28 February 2014

Document Development

R1, 15 July 2013 Formatting, spell check, font change, justification Draft Final R1, 17 July 2013 Formatting, spell check, font change, justification, R2, 29 July 2013 Page setup and print R3 2 Aug 2013 Incorporation of socio-economic data R4 12 Aug 2013 Formatting, page setup R5 21 Aug 2013 Setup cover page and heaer-footer Final R6 30 Sept. 2013 Formatted cover pages & correction R7 28 Feb 2014 Reprinted R6 Review by : Knut Oberhageman, 9 August, 2013

Cover Photo: Culvert in Dhaka Southwest Embankment along Padma River, 2013

(Osman Ghani)

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MAIN REPORT

ANNEXES

Annex A Priority Sub-reach Selection & Sub-reach Descriptions Annex A1 Priority Sub-reach Selection Annex A2 Sub-reach Description Annex B Background Data Annex B1 National Water Resources Database Annex B2 Socio-economic Data Annex B3 Surveys and Field Visits Annex C Institutional and Financial Assessment Annex D Hydrology and Flood Modelling Annex E River and Charland Morphology and River Engineering Annex F Design Issues Annex F1 Geotechnical Investigations Annex F2 Technical Designs Annex G Economic Feasibility Annex G1 Project Cost Annex G2 Economic Assessment Annex H Implementation and Procurement Planning Annex I Social Gender Equity Strategy & Action Plan Annex J Environmental Impact Assessment Annex K Involuntary Resettlement Annex K1 Resettlement Framework Annex K2 Resettlement Plan

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Page iv September 2013 Asian Development Bank

Funded by the Japan Fund for Poverty Reduction

Government of the People’s Republic of Bangladesh Bangladesh Water Development Board

Project Preparatory Technical Assistance 8054 BAN Main River Flood and Bank Erosion Risk Management Program

Final Report, Annex B1 National Water Resources Database

September 2013

PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Page vi September 2013 B1 NWRD

Final Report on Professional Services related to Preparatory Technical Assistance for A large River Flood and Bank Erosion Risk Management

March 2013

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Page viii September 2013 B1 NWRD

Table of Contents

1. Introduction ...... 1

1.1 Background ...... 1 1.2 Study Area ...... 1 2. Description of data layer ...... 3

2.1 Raster data layer ...... 3 2.1.1 Classified Flood Extent for 1998, 2001, 2004 and 2007...... 3 2.1.2 Digital Elevation Model ...... 3 2.1.3 100, 50, 25, 20, 10, 5, 2 years return period flood data (CEGIS) ...... 3 2.1.4 100, 50, 25, 20, 10, 5, 2 years return period flood map (IWM) ...... 3 2.1.5 IRS image (Jamuna) ...... 4 2.1.6 IRS image (Padma) ...... 4 2.2 Vector data layer ...... 4 2.2.1 River Bankline (2012, 2010, 1973) ...... 4 2.2.2 BWDB project ...... 4 2.2.3 Bridge/Culvert ...... 5 2.2.4 LGED small scale project ...... 5 2.2.5 District Headquarter ...... 5 2.2.6 Upazila Headquarter ...... 5 2.2.7 Union Headquarter ...... 6 2.2.8 District Boundary...... 6 2.2.9 Upazila boundary ...... 6 2.2.10 Union boundary ...... 6 2.2.11 Mouza boundary ...... 7 2.2.12 National road ...... 7 2.2.13 Regional road ...... 7 2.2.14 District road...... 8 2.2.15 Upazila road ...... 8 2.2.16 Union road ...... 8 2.2.17 Rural road ...... 8 2.2.18 Existing Embankment (BWDB) ...... 9 2.2.19 Power Transmission Lines ...... 9 2.2.20 Substation location ...... 9 2.2.21 Health facilities ...... 9

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2.2.22 Growth center ...... 10 2.2.23 Hat Bazar ...... 10 2.2.24 Settlement...... 10 2.2.25 Major River ...... 10 2.2.26 Water bodies ...... 10 2.2.27 Household income ...... 11 2.2.28 Rainfall Station ...... 11 2.2.29 Water level station ...... 11 2.2.30 Sub-reaches Boundary ...... 11 2.2.31 Sub-reaches without river ...... 12 2.2.32 Land type ...... 12 2.2.33 Landuse data ...... 12 2.2.34 Erosion of sub-reaches , 2005-10 ...... 12 2.2.35 Erosion of sub-reaches , 1973-2010 ...... 13 2.3 Tabular data ...... 13 2.3.1 Sub-reaches population ...... 13 2.3.2 Upazila wise land and water area...... 13 2.3.3 Census population data ...... 13 2.3.4 Flood area and volume ...... 13 2.3.5 Flood water volume in sub-reaches ...... 14 3. Outputs ...... 14

1 Socio-Economic Environment ...... 19

1.1 Information Sources ...... 19 2 Social Fabric – Demographics ...... 21

2.1 Sub-reach Basic Demographics ...... 24 3 Poverty ...... 27

3.1 Natural Disasters and Poverty ...... 29 3.2 Erosion ...... 30 3.3 Char lands and char people ...... 34 3.4 Market accessibility and poverty ...... 42 3.5 Poverty and agricultural wage rate ...... 42 3.6 Educational Attainment and Poverty ...... 44 3.7 Indicators for selecting core sub-reaches...... 44 1 Introduction ...... 87

2 River Survey ...... 87

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2.1 Coordinate System ...... 87 3 Land Survey ...... 95

3.1 Data Sheet along the left bank of Hurasagar ...... 95 3.2 Data Sheet of Kaijuri ...... 97 3.3 Data Sheet of Chauhali ...... 99 3.4 Data Sheet of Jafargonj ...... 102 3.5 Data Sheet of Harirampur-Dohar ...... 105 3.6 Surveyed Flood Plain Line showing on Google Earth ...... 110 4 Embankment Survey ...... 111

4.1 List of Culverts & Bridges ...... 112 Photographs...... 117

5 JRB-1 Kaijuri to Verakhola level of Walkway survey along river bank ...... 146

5.1 Walkway RL Survey 02-05-2011 ...... 146 5.2 Walkway RL Survey 04-05-2011 ...... 155 5.3 Walkway RL Survey 03 ...... 161 5.4 Walkway RL Survey 25-05-2011 ...... 162 5.5 Walkway RL Survey 24-05-2011 ...... 168 6 Field visits of the project areas on Jamuna, Padma and Meghna ...... 177

6.1 Field trip on 14-12-2012 to 16-12-2012 ...... 177 Field trip on 19-02-2013 ...... 185 Field trip on 03-05-2013...... 187 Field trip on 10-05-2013 to 11-05-2013 ...... 191

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1. Introduction 1.1 Background

The Asian Development Bank supports the feasibility assessment of a potential future Flood and Riverbank Erosion Risk Management Program covering parts of the main rivers of Bangladesh through a Project Preparatory Technical Assistance. The study area extends from the Jamuna Multipurpose (Bangabandhu) Bridge to Chandpur and cover the lower Meghna. The main focus is to reduce the riverbank erosion and flood risks to the adjacent flood plains while maximizing economic activities in a sustainable and environmentally acceptable manner. As flood embankments are mostly threatened from riverbank erosion, the stabilization of the river pattern is a cornerstone of reducing the flood risk.

In order to conduct pre-feasibility and feasibility level investigation, the Center for Environmental and Geographic Information Services (CEGIS) was awarded for collecting, processing, analyzing and presenting varieties of spatial and temporal GIS-based data. In line with this, this report is the final service of this study covering list of data collected, processed and analyzed.

1.2 Study Area

The study area covers extends from the Bangabandhu (Jamuna) Bridge and the proposed Ganges Barrage down to Chandpur at the Lower Meghna. It was divided into 13 sub-reaches according to floodplain and river characteristics and following administrative (upazila) boundaries (Figure 1-1). The total area covers more than 9000 km2 (900,000 ha).

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Figure 1-1: Extends of the Study Area

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2. Description of data layer

2.1 Raster data layer 2.1.1 Classified Flood Extent for 1998, 2001, 2004 and 2007 Data description A grid data layer representing flooded and non flooded area in 1998 This data was prepared as a part of continuous flood monitoring of CEGIS using History of Data Radarsat image, rainfall and hydrological data. Type of dataset Raster image(GRID) Analysis and Process Each image was classified into two categories: “open water flooding” and “others”. As the C band of RADARSAT-1 data cannot penetrate vegetation canopy, it was not possible to detect floodwater under the cover of forests, settlements/homestead trees, and crops with more than 30% canopy. That is why the term “open water flooding” is used instead of “flood water extent.” All images were processed using the image processing software ERDAS IMAGINE 8.5. Cross referencing Section 2.2 relating to the ToR 2.1.2 Digital Elevation Model Data description A grid data layer representing the continuous elevation of the land surface History of Data CEGIS digitized all elevation points from Topographic maps published by BWDB and elevation contour line captured from SoB Topographic map. The scales of Irrigation and Topo maps are 1:40,000 and 1:50,000 respectively. Missing area of elevation points was filled with SRTM elevation data Type of dataset Raster data (GRID) Analysis and Process CEGIS was used IDW interpolation method in a 30mx30m spatial resolution Cross referencing Section 2.1, 2.2 and 2.3 relating to the ToR 2.1.3 100, 50, 25, 20, 10, 5, 2 years return period flood data (CEGIS) Data description A grid data layer representing flood extent in a 100 years return period History of Data To predict the major flood return period CEGIS prepare this data for the project “A Large River Flood and Bank Erosion Risk Management Program” Type of dataset Raster data(GRID) Analysis and Process CEGIS calculate the surface water level for 100 years return period and prepare a DEM of 100mx100m spatial resolution covering flood extent and classified it at different level as F0 = 0-30 cm, F1 = 30-90 cm, F2 = 90-180 cm, F3 = 180-300 cm, F4 =>300 cm Cross referencing Section 2.2 relating to the ToR 2.1.4 100, 50, 25, 20, 10, 5, 2 years return period flood map (IWM) Data description A grid data layer representing flood extent in a 100 years return period History of Data The hydrodynamic models have been used for preparing this flood map during National Water Management Plan Project (NWMPP) by IWM. Type of dataset Raster data(GRID) Analysis and Process CEGIS collected the Raster flood map with 100mx100m spatial resolution

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covering flood extent and classified it at different level as F0 = 0-30 cm, F1 = 30- 90 cm, F2 = 90-180 cm, F3 = 180-300 cm, F4 =>300 cm Cross referencing Section 2.2 relating to the ToR 2.1.5 IRS image (Jamuna) Data description A satellite image of Jamuna river area History of Data 6 m spatial resolution IRS pan image on 22 February, 2012 Type of dataset IMAGINE Image Analysis and Process - Cross referencing Section 2.1 and 2.2 relating to the ToR 2.1.6 IRS image (Padma) Data description Satellite images of Padma river area History of Data 6 m spatial resolution IRS pan image on 22 February, 2012 and 03 February, 2012 Type of dataset IMAGINE Image Analysis and Process - Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2 Vector data layer 2.2.1 River Bankline (2012, 2010, 1973) Data description The spatial data layer represents the alignment of bankline along the Main Rivers (Jamuna, Ganges, Padma& Meghna) of 2012. In general banklines include channels, chars and sand bars in the river braid belt. History of Data IRS LISS Images, 2012 with 24 m resolution have used for Bankline delineation. Type of dataset Shapefile Analysis and Process Banklines has been delineated following the defined criteria developed by CEGIS. Smaller offshoot channels are considered to be outside the river banklines if the channel did not return to the main channel, the width of the channel was less than 100 m and the channel had a meander radius less than 1 km Cross referencing Section 2.3 relating to the ToR 2.2.2 BWDB project Data description A spatial data layer has shown the BWDB project location along with attribute information. History of Data Source of this data layer is the hard copy maps at 1: 50,000 scale, prepared by Engineering Consultancy and Development Services Ltd. (ECDS) under the project 'Updating the Inventory of Water Development Systems - BGD/87/021 of UNDP1991'. Besides BWDB Jurisdiction Maps at 1:1,25,000 and 1: 2,50,000 scales, have also been used in some cases. Digital attribute database of 1999 and 2005 derived from Water Sector Improvement Project (WSIP) of BWDB has also been used as attribute information. Also, used IRS image (6mX6m) and some of projects have been verified by field visit under the project WAMIP

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Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.3 Bridge/Culvert Data description A spatial data layer containing the locations of bridge, culvert, etc by Roads and Highway Department (RHD). History of Data Roads and Highway Department (RHD). generated this data layer Type of dataset Shapefile Analysis and Process The data layer has been collected into digital format and stored it in an organized form. Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.4 LGED small scale project Data description A spatial dataset of small scale water resource project areas that are delineated and maintained by LGED (Local Government Engineering Department) History of Data LGED Department generated this data layer Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.5 District Headquarter Data description A spatial data layer presenting the districts headquarters in the study area with other attribute information according to BBS geo-master database 1991. History of Data Source of the data layer is a published map produced by MPO in 1983 under the Ministry of Irrigation Water Development and Flood Control. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.6 Upazila Headquarter Data description A spatial data layer depicting the upazila/thana headquarters locations with associated attribute information derived from Geomaster database 2001 published by Bangladesh Bureau of Statistics. History of Data This data layer has been prepared using published map of Master Plan Organization (MPO), Ministry of Water Resource in 1983, titled 'Zila, Upazila, Thana, Catchment & Regional Boundary Map' which was 1:500,000 scale. And used mauza and ward boundary, GPS survey and population census 2001 Type of dataset Shapefile Analysis and Process Data collected from NWRD

Cross referencing Section 2.1 relating to the ToR

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2.2.7 Union Headquarter Data description A spatial data layer containing the locations of union headquarters captured by Local Government Engineering Department (LGED). History of Data LGED has generated this data layer under UNDP/ILO PROJECT BGD/89/041 using SPOT Image 1989-90, Aerial Photograph 1983-84, Topographic Maps, Thana Maps, and ground truthing with the help of thana level technical staffs. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.8 District Boundary Data description A spatial data layer of District boundaries of Bangladesh along with the attribute information derived from Geomaster Database, 2001 published by Bangladesh Bureau of Statistics (BBS). History of Data The source of this dataset is Police Station Maps published by Directorate of Land Record and Survey (DLRS), which were compiled between 1905-1945.The Some maps are still being update still being update as and new upazillas are created. Scale of these maps were 1"=1mile excluding Chittagong Hill Tracts. Reserve Forest maps published by Survey of Bangladesh were used for Sundarbans region. Attribute information were attached according to the Geomaster database 2001 collected from Bangladesh Bureau of Statistics (BBS). Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.9 Upazila boundary Data description A spatial data layer of Upazila/Thana boundaries of Bangladesh along with the attribute information derived from Geomaster Database, 2001 published by Bangladesh Bureau of Statistics (BBS). History of Data The source of this dataset is Police Station Maps published by Directorate of Land Record and Survey (DLRS), which were compiled between 1905-1945.The Some maps are still being update still being update as and new upazilas are created. Scale of these maps were 1"=1mile system excluding Chittagong Hill Tracts. Reserve Forest maps published by Survey of Bangladesh were used for Sundarbans region. Attribute information were attached according to the Geomaster database 2001 collected from Bangladesh Bureau of Statistics(BBS). Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.10 Union boundary Data description A spatial data layer of union boundaries of Bangladesh along with the attribute information derived from Geomaster Database, 2001 published by Bangladesh Bureau of Statistics (BBS). It is smallest administrative rural geographic unit comprising of mauza and villages and having union parishad institution.

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History of Data The source of this dataset is Police Station Maps published by Directorate of Land Record and Survey (DLRS), which were compiled between 1905-1945.The Some maps are still being update still being update as and new upazilas are created. Scale of these maps were 1"=1mile system excluding Chittagong Hill Tracts. Reserve Forest maps published by Survey of Bangladesh were used for Sundarbans region. Attribute information were attached according to the Geomaster database 2001 collected from Bangladesh Bureau of Statistics (BBS). Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.11 Mouza boundary Data description In Bangladesh, a mauza is a type of land unit, corresponding to a specific land area which there may be one or more settlements. Before the 20th century, the term referred to a revenue collection unit. A spatial data layer of mauza boundaries of Bangladesh along with the attribute information derived from Bangladesh Population Census, 2001, BBS published by Bangladesh Bureau of Statistics (BBS). In this database JL numbers of DLRS was also considered as an attribute. History of Data The source of this dataset is Police Station Maps published by Directorate of Land Record and Survey (DLRS), which were compiled between 1905-1945.The Some maps are still being update as and new upazilas are created. Scale of these maps were 1"=1mile system excluding Chittagong Hill Tracts. Reserve Forest maps published by Survey of Bangladesh were used for Sundarbans region. Attribute information were attached according to the Geomaster database 2001 collected from Bangladesh Bureau of Statistics (BBS). Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.12 National road Data description A spatial data layer showing the national road network of Bangladesh with other attribute information identified by Department of Roads and Highways (RHD). National road connecting national capital with divisional head quarters, old district headquarters, port cities and international highways. History of Data Department of Roads and Highways generated this data layer. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.13 Regional road Data description A spatial data layer showing regional road network of Bangladesh with other attribute information identified by Department of Roads and Highways (RHD). Road connecting different regions with each other, which are not connected by the national highways

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History of Data Department of Roads and Highways generated this data layer. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.14 District road Data description A spatial data layer showing the zila road network of Bangladesh. Roads connecting Upazila HQs and important growth centers/places of economic or strategic importance with the nearest national/regional highway network or Roads connecting Upazila HQs with each other. History of Data Department of Roads and Highways generated this data layer. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.15 Upazila road Data description A spatial data layer showing the road networks that connecting Union HQs with Upazila HQs or other road system of the country. Upazila level roads are implemented and maintained by Local Government Engineering Department (LGED). Information on road networks, carriage width, height and other relevant parameters are incorporated in the database with other associated attribute information. The road alignment are mostly surveyed by LGED with GPS system. History of Data Local Government Engineering Department (LGED) generated this data layer. Most of the road network data are generated by using GPS field survey. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.16 Union road Data description A spatial data layer showing the road networks that connecting villages and farms with Union HQ or local markets or each other. The road network is being digitized by Local Government Engineering Department (LGED) with other associated attribute information. History of Data Local Government Engineering Department (LGED) generated this data layer. Most of the road network data are generated by using GPS field survey. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.17 Rural road Data description A spatial data layer showing the road networks that connecting within a village of Bangladesh identified by Local Government Engineering Department (LGED) with other associated attribute information. History of Data Local Government Engineering Department (LGED) generated this data layer. Type of dataset Shapefile

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Analysis and Process Data collected from NWRD Cross referencing Section 2.1 and 2.2 relating to the ToR 2.2.18 Existing Embankment (BWDB) Data description The data layer contains all embankment locations of BWDB (Bangladesh Water Development Board) FCDI (Flood Control Drainage & Irrigation) Projects with attribute information. History of Data The data layer has been digitized from the published maps of scale 1:50,000 (prepared by Engineering Consultancy and Development Services Ltd.) 1991. The digitization has been done under Arc/Info GIS (Unix & NT Workstation) environment volume wise (e.g. Volume 2 covers SW Region). Then all the coverage have been appended for making national level data layer. After digitization spatial location of the map features [such as, project boundaries, embankments, town protections, canals and hydraulic structures] were adjusted manually with respect to river database (LANDSAT 97 with 30m resolution). Digital database from Water Sector Improvement Project (WSIP) of BWDB 1999 has been used for attribute information. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.2 and 2.3 relating to the ToR 2.2.19 Power Transmission Lines Data description A spatial data layer showing the layout of the power transmission lines of Bangladesh with other attribute information like length and type of the power transmission lines. History of Data Bangladesh Power Development Board (BPDB) generated this locational information in 1:3,000,000 scale map and published in Annual Report 1996-97. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.20 Substation location Data description A spatial data layer showing the power stations and grid substations of Bangladesh Power Development Board (BPDB) with other attribute information. History of Data Bangladesh Power Development Board generated this locational information in 1:3,000,000 scale and published in Annual Report 1996-97. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.21 Health facilities Data description A spatial data layer containing the locations of hospital, community clinic, family welfare center by Local Government Engineering Department (LGED). History of Data Local Government Engineering Department (LGED) generated this data layer Type of dataset Shapefile

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Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.22 Growth center Data description A spatial data layer containing the locations of growth center by Local Government Engineering Department (LGED). History of Data Local Government Engineering Department (LGED) generated this data layer Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.23 Hat Bazar Data description A spatial data layer containing the locations of Hat Bazar by Local Government Engineering Department (LGED). History of Data Local Government Engineering Department (LGED) generated this data layer Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.24 Settlement Data description A spatial data layer showing the settlement location delineated by Local Government Engineering Department (LGED). History of Data LGED generated this data layer under UNDP/ILO Project BGD/89/041. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.25 Major River Data description A spatial data layer containing the major rivers of Bangladesh. It also includes the trans-boundary rivers and rivers having width equal to or above 100m including BWDB gauge stations and SWMC model rivers. History of Data ISPAN (Irrigation Support Project for Asia and Nearest) captured the rivers that were equal to or above 50-meter width, from SPOT multi spectral image 1989. EGIS- I updated this data layer using SPOT multi-spectral image and EGIS-II enhanced the existing data adding Model and some other Major rivers. After- wards NWRD has captured the rivers of Chittagong region from LANDSAT TM image 1997. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.2 and 2.3 relating to the ToR 2.2.26 Water bodies Data description A spatial data layer representing the location of perennial water bodies of Bangladesh.

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History of Data ISPAN (Irrigation Support Project for Asia and Nearest) captured the perennial water bodies from SPOT multi spectral image for FAP 19. EGIS-I updated the data layer adding more information from SPOT image. Following this NWRD has enhanced it with some missing information from SPOT 89 image, LANDSAT 97 image and IRS 98 image. Topographic maps collected from Survey of Bangladesh (SoB) and Water body map collected from Bangladesh Water Development Board have also been used to update the data layer. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.2 and 2.3 relating to the ToR 2.2.27 Household income Data description The data layer reveals 64-district wise average household income from different sectors. History of Data Bangladesh Bureau of Statistics generated the data layer and published in Statistics on Poverty Alleviation in 1995. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.28 Rainfall Station Data description This data layer contains the information of location of the meteorological stations (including rainfall measuring stations) that are established and being maintained by Bangladesh Water Development Board (BWDB). History of Data The source of this data layer is a published map titled 'Hydrometric Station Map' prepared by BWDB and also a digital file containing the coordinate values of the stations. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.2 relating to the ToR 2.2.29 Water level station Data description A spatial data layer of water level stations maintained by Bangladesh Water Development Board. History of Data Source of the dataset is a hard copy map titled 'Hydrological Network Map' published by Bangladesh Water Development Board (BWDB) in 1:750,000 scale. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.2 relating to the ToR 2.2.30 Sub-reaches Boundary Data description A spatial data layer showing Sub-reaches along two sides of main rivers History of Data This data is prepared under the project “A Large River Flood and Bank Erosion Risk Management Program”.

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Type of dataset Shapefile Analysis and Process Mainly two or three adjacent upazila makes a subreach with a similar physical characteristics Cross referencing Section 2.2 relating to the ToR 2.2.31 Sub-reaches without river Data description A spatial data layer showing Sub-reaches along two sides of main rivers without river area History of Data This data is prepared under the project “A Large River Flood and Bank Erosion Risk Management Program”. Type of dataset Shapefile Analysis and Process Mainly two or three adjacent upazila make a subreach with a similar physical characteristics. After delineating the sub-reaches boundary, river areas are erased from the boundary polygon. Cross referencing Section 2.2 relating to the ToR 2.2.32 Land type Data description A spatial data layer showing average floods depth during the monsoon season. The data theme results from a GIS analysis involving topographic information and digital soil map. History of Data UNDP-FAO Land Resource Appraisal of Bangladesh for agricultural development classified inundation depth according to landscape position in their AEZ mapping. FAP 19 used the inundation attribute data linked to the soil association map units. FAP 19 produced inundation land type map using the soils and topographic data layers. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.33 Landuse data Data description A generalized spatial data layer containing agricultural landuse covering the dominant crop and its rotation over the season. History of Data Soil Resource Development Institute (SRDI) published the source map at a scale of 1,000,000. The base information was collected from SOB 1989, river course and island updated from landsat imageries 1990, forest data drawn from the forest cover map 1994 and updated from Landsat imageries 1984 and 1990. Type of dataset Shapefile Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.2.34 Erosion of sub-reaches , 2005-10 Data description A tabular data containing erosion area in the period of 2005 to 2010 History of Data Historical bankline is used for calculation the area Type of dataset Excel Table Analysis and Process The area is calculated using historical bankline data through GIS application

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Cross referencing Section 2.3 relating to the ToR 2.2.35 Erosion of sub-reaches , 1973-2010 Data description A tabular data containing erosion area in the period of 1973 to 2010 History of Data Historical bankline is used for calculation the area Type of dataset Excel Table Analysis and Process The area is calculated using historical bankline data through GIS application Cross referencing Section 2.3 relating to the ToR

2.3 Tabular data 2.3.1 Sub-reaches population Data description An attribute data layer containing sub-reaches wise total population and other relevant information such as BBS area, number of male, female and number of rural, urban population according to census. History of Data sub-reaches wise population data is prepared with the help of population census conducted in 1961, 1974, 1981, 1991, 2001, 2011 and published in Population Census Book by Bangladesh Bureau of Statistics. Type of dataset Excel Table Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.3.2 Upazila wise land and water area Data description A tabular data containing land and water area of each upazila History of Data The land and water area is calculated with the study area of the project “A Large River Flood and Bank Erosion Risk Management Program”. Type of dataset Table Analysis and Process ArcGIS software is used for calculating the area Cross referencing Section 2.1 relating to the ToR 2.3.3 Census population data Data description An attribute data layer containing Upazila/thana wise total population and other relevant information such as BBS area, number of male, female and number of rural, urban population according to census. History of Data Thana wise population data were collected through population census conducted in 1961, 1974, 1981, 1991, 2001, 2011 and published in Population Census Book by Bangladesh Bureau of Statistics. Type of dataset Excel Table Analysis and Process Data collected from NWRD Cross referencing Section 2.1 relating to the ToR 2.3.4 Flood area and volume Data description A tabular data containing flood area and volume

Page 13 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

History of Data The area and volume is calculated with the study area of the project “A Large River Flood and Bank Erosion Risk Management Program”. Type of dataset Table Analysis and Process With ArcGIS tool flood area and volume is calculated with DEM and Flood map Cross referencing Section 2.2 relating to the ToR 2.3.5 Flood water volume in sub-reaches Data description A tabular data containing flood area and volume of each sub-reaches History of Data The area and volume is calculated with the study area of the project “A Large River Flood and Bank Erosion Risk Management Program”. Type of dataset Table Analysis and Process With ArcGIS tool flood area and volume is calculated with DEM and Flood map Cross referencing Section 2.2 relating to the ToR

3. Outputs There are two types of outputs: 1. Figures and Tables a) Total rainfall from June 1 during six different flood events b) Pattern of runoff on Jamuna River, Ganges River, and Upper Meghna River c) Frequency analysis of peak discharges, Jamuna River at Bahadurabad and Ganges River at Hardinge Bridge d) Frequency of peak discharges on main rivers e) Frequency of peak water levels on main rivers and distributary branches f) Approximate return period of recent flood levels g) Distribution of floodplain land elevations in relation to the 2-year flood level on the main rivers h) Extent of flood inundation in sub-project areas determined by RADARSAT imagery i) Per cent of sub-project land in each flood depth class (2 year and 10 year flood condition) j) Natural controls on the planform of the Ganges River k) Overall erosion and accretion of the Brahmaputra/Jamuna River in the period 1973-2010 l) Overall erosion and accretion of the Brahmaputra/Jamuna River in the period 2007-2012 m) Overall erosion and accretion of the Padma River in the period 1973-2009 n) Overall erosion and accretion of the Padma River in the period 2004-2009

2. Maps a) Flood (river and coast) and drought incidence in Bangladesh b) Riverbank erosion incidence in Bangladesh c) Sub-reach division of project area d) Location of hydrometric gauges and rainfall stations in the project area e) Topography in the project area f) Flood extent 26 Aug 1998 (from Radarsat image)

Page 14 September 2013 B2 Socio-economic data

Asian Development Bank

Funded by the Japan Fund for Poverty Reduction

Government of the People’s Republic of Bangladesh Bangladesh Water Development Board

Project Preparatory Technical Assistance 8054 BAN Main River Flood and Bank Erosion

Risk Management Program

Final Report, Annex B2 Socio-economic data

September 2013

Page 15 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Page 16 September 2013 B2 Socio-economic data

Table of Content

1 Socio-Economic Environment ...... 19

1.1 Information Sources ...... 19 2 Social Fabric – Demographics ...... 21

2.1 Sub-reach Basic Demographics ...... 24 3 Poverty ...... 27

List of Tables

Table 1-1: Some FAP components ...... 21

Table 2-1: Subreaches and administrative units ...... 22

Table 2-2: Proposed River Reaches - Population distribution by sex and sex ratio, by districts and Upazilas, 2011 ...... 24

Table 2-3: Proposed River Reaches – Urbanization, Percentage of Rural/Urban Population, 2011 ...... 25

Table 2-4: Proposed River Reaches - Rural, Urban and Other Urban Households Distribution and Average Household Size, 2011 ...... 25

Table 2-5: Sub-Reaches – Area (Km2), Population, Density of Inhabitants (per Km2), 2011 ...... 26

Table 2-6: Sub-Reaches – Percentage of Population Literate, by Gender, 2011 ...... 26

Table 2-7: Sub-Reaches – Percentage of Population Attending School (5-24 Years), by Gender, 2011 .. 27

Table 3-1: Sub-Reaches – Upper and Lower Poverty Lines, HIES 2010 ...... 28

Table 3-2: Sub-Reaches – Percentage of Dwelling Units Employed in the Primary Sector ...... 45

Page 17 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

List of Figures

Figure 1-1: Sub-reach boundaries ...... 20

Figure 2-1: PPTA Bangladesh sdministrative divisiond ...... 23

Figure 2-2: PPTA Bangladesh administrative districts, showing 13 sub-reaches ...... 23

Figure 3-1: Poverty map at division level (left) and at upazila level (right), 2005 ...... 28

Figure 3-2: Poverty map upazila level (2005) and areas affected by floods and tidal surges ...... 29

Figure 3-3: Old Embankment Village in relation to Jamuna River’s dry season ...... 31

Figure 3-4: Old Embankment Village during high water season, 2005 ...... 32

Figure 3-5: Old Embankment Village during seasonal high water season, 2005 ...... 33

Figure 3-6: Walking through Old Embankment Village during low water season, 2005 ...... 33

Figure 3-7: location of primary school and grave yard lost in 2004 monsoon ...... 34

Figure 3-8: Char people ...... 36

Figure 3-9: Bhiti, platforms of earth, used to raise farmsteads above normal flood levels...... 38

Figure 3-10: Protection by trees and catkin grass ...... 40

Figure 3-11: poverty map upazila level (2005) market accessibility and poverty ...... 43

Figure 3-12: poverty map upazila level (2005) poverty and agricultural wage rate ...... 43

Figure 3-13: poverty map upazila level (2005) poverty and household head completed primar education ...... 44

Figure 3-14: bar graph chart of primary sector employed and upper limit poverty ...... 45

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1 Socio-Economic Environment 1.1 Information Sources The following chapter relies predominately on Bangladesh Bureau of Statistics (BBS)1 data to provide an overview of the 11 districts and 40 upazilas that constitute the considered 13 sub-reaches within the PPTA project area

Another data reference found throughout this report is The Flood Action Plan (FAP), which was initiated after the two devastating floods of 1987 and 1988 and started with preparatory studies during 1989. In June 1989 the Government of Bangladesh (GoB) requested the World Bank (WB):

…to coordinate the efforts and prepare a programme of studies and pilot projects that would form the basis for a long term comprehensive flood management plan. A central feature of the plan was a programme of regional studies that would recognize the wide regional differences in the nature of flooding and the drainage problems in different areas of the country. It was also decided that some of the studies would encompass project preparation works and a range of supporting technical, socio- economic and environmental studies was also envisaged. Thus a programme for undertaking 11 main and 15 supporting activities was drafted. This programme became known as the Flood Action Plan (FAP). – (FPCO, 1995)

The total budget allocation was around USD 150 million with around USD 55 million allocated to pilot works. Figure 2-1 shows the distribution of the main regional FAP Regional Zones that were adopted by the Water Board administration.

Activities were coordinated under the Flood Plan Coordination Organization (FPCO) established in 1990 under the Ministry of Water Resources. Most studies began in 1990/1 and were completed by 1994, upon which a number of follow-up activities commenced.

The FAP triggered a number of important developments. Guidelines for project assessment, environmental impact assessment and people’s participations were prepared, which guided the implementation of future projects. In addition the flood control or mitigation focus shifted towards flood management and later integrated water resources management.

A number of components are relevant for the PPTA, however, in a number of cases developments over the last nearly 20 years have moved on.2

1http://www.bbs.gov.bd/Home.aspx 2 There are eleven FAP Guiding Principles: (1) Phased implementation of a comprehensive Flood Plan aimed at (a) Protection of urban, rural, commercial, industrial and public utility centres and communication networks; (b) Controlled flooding, wherever possible and appropriate, to meet the needs of agriculture,fisheries, navigation, urban flushing, soil productivity and recharging the surface water and groundwater resources with minimum dislocation of the environment. (2) Effective land and water management of protected and unprotected areas, involving compartmentalisation, drainage, irrigation, drainage decongestion, land use, cropping patterns, environment, ecology, erosion/sedimentation control etc. (3) Strengthening and equipping the disaster management machinery including building infrastructure for quick and effective communication and transmission during disasters. (4)Improvement of the flood forecasting system and establishment of a reliable and comprehensive flood warning system with adequate lead times and at the same time evolving techniques for dissemination. (5) Save conveyance of the large cross-boundary flow to the Bay of Bengal by channeling it through the major rivers with the help of embankments on both sides. (6) Effective river training works for the protection of embankments, infrastructure and population centres, linked wherever possible with the reclamation of land in the active river flood plain. (7) Reduction or distribution of land on the main rivers through diversion of flows into major distributaries or interception of local runoff/local rivers by channelling through

Page 19 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Figure 1-1: Sub-reach boundaries

Table 1-1 outlines all FAP components potentially relevant, with important ones in bold. The latter are largely regional studies and technical studies related to the main rivers; FAP 16 Environmental Studies also includes socioeconomic data and is quoted below when describing the char lands and people.

Some relevant initial data collection has been started with CEGIS drawing mostly on an updated National Water Resources Database (NWRD) on land-use; landmarks, cultural heritage; administrative boundaries; social fabric; economic baseline data; and poverty parameters.

major tributaries of special diversion. (8) Improvement of the conveyance capacity of the river networks to ensure efficient drainage through appropriate channel improvements and ancillary structures to provide regulation and conservation.(9)Development of flood plain zoning as a flexible instrument to accommodate necessary engineering measures and allocate space for habitation patterns, economic activities and environmental assets. (10) Coordinated planning and construction of all rural roads, highways and railway embankments with provision for unimpeded drainage. (11) Encouraging maximum possible popular participation by beneficiaries in the planning, implementation, operation and maintenance of flood protection infrastructure and facilities.

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Table 1-1: Some FAP components

FAP Activity / Name Funding Source Amount No. (USD) 1 Brahmaputra Right Embankment, Master Plan and structural IDA 3.36 intervenetions at Sirajganj and Sariakandi (under River Bank Protection Project) 2 Northwest Regional Study UK, Japan 4.60 3 North Central Regional Study EU, France 3.56 4 Southwest Area Study UNDP, ADB 3.83 5 Southeast Regional Study UNDP 2.20 9B Meghna River Bank Protection Works IDA 1.15 10 Flood Forecasting and Warning UNDP, Japan, Denmark 5.70 11 Disaster Preparedness Project UNDP 1.10 12 Flood Control Drainage and Irrigation (FCD/I) Review UK, Japan 1.60 14 Flood Response Study USA 0.32 16 Environmental Study US 4.04 17 Fisheries Study and Pilot Project UK 3.40 21/22 Bank Protection, River Training and Active Flood Plain Management Germany, France 40.00 24 River Survey Programme EU 14.70 25 Flood Modeling and Management Denmark, France, 4.39 Netherlands, UK

2 Social Fabric – Demographics Table 2-1 identifies the 13 considered sub-reaches, as shown above in Figure 1-1, with relation to the Jamuna, Padma, and Meghna Rivers, to the above described FAP Regional Zones, as well as the eleven districts and 40 upazilas (sub-districts) that constitution the sub-reaches.

The purpose of this chapter will be to provide a basic demographic description of the considered sub- reaches from the standpoint of administrative entities which BBS data draws upon. This will be useful for later more dynamic analysis during the feasibility stage, as well as for planning local and government stakeholder consultation. It is expected that socio-economic and resettlement surveys will lead to more detailed analysis after the confirmation of the pre-feasibility site selection for Tranche 1 interventions, likely to be three core sub-reaches selected out of the overall 13 sub-reaches.

As the PPTA resources and timeframe may not be sufficient to complete required safeguards for tranche-1 interventions if they have geographically large impact zones, complex or uncertain environmental or social impacts, or entail greater than minimal resettlement, pre-feasibility selection criteria for the tranche‑1 subprojects will include the requirements that selected subprojects (i) have impact zones that can be adequately covered for EIA/SIA fieldwork and public consultation with the funds available; (ii) consist of engineering concepts and interventions for which experience provides adequate understanding of potential adverse impacts and some certainty that these will be manageable; and (iii) zero or minimal resettlement is required. The EIA and SIA studies will be contracted out and reported together, as this allows for better coordination and efficient use of study resources. BBS data for the tranche-1 sub-projects is available down to the village level.

The PPTA area is shown below in Figure 2-1, is outlined by the blue dash-line box, and includes Rajshahi, Dhaka and Chittagong Division.

The PPTA area eleven districts are shown in the following Figure 2-2 map and are detailed within river- reach definitions, in tables found in Annexure.

Page 21 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Table 2-1: Subreaches and administrative units

River Subreaches Region District Upazila I. Sirajganj 1. Belkuchi JRB-1 Sirajganj 2. Kamarkhanda North Western Zone Sirajganj 3. Shahjadpur II. Pabna 4. Bera JRB-2 Pabna 5. Santhia Pabna 6. Sujanagar III. Tangail 7. Delduar JLB-1 Tangail 8. Kalihati Tangail 9.Tangail Sadar IV. Manikganj 10. Daulatpur Jamuna Manikganj 11. Ghior Manikganj 12. Saturia JLB-2 Manikganj 13. Shibalaya Sirajganj 14. Chauhali Tangail 15. Nagarpur Manikganj 16. Harirampur North Central Zone PLB-1 Manikganj 17. Manikganj Sadar Manikganj 18. Singair V. Dhaka 19. Dohar Dhaka 20. Nawabganj PLB-2 VI. Munshiganj 21. Serajdikhan Munshiganj 22. Sreenagar Munshiganj 23. Lohajang PLB-3 Munshiganj 24. Munshiganj Sadar Munshiganj 25. Tongibari VII. Rajbari 26. Goalanda Padma PRB-1 Rajbari 27. Pangsha Rajbari 28. Rajbari Sadar VIII. Faridpur 29. Bhanga Faridpur 30. Char Bhadrasan PRB-2 South Western/Central Zone Faridpur 31. Faridpur Sadar Faridpur 32. Sadarpur IX. Madaripur 33. Shib Char PRB-3 X. Shariatpur 34. Naria Shariatpur 35. Zanjira MLB-1 XI. Chandpur 36. Uttar Matlab Chandpur 37. Chandpur Sadar MLB-2 Meghna South Eastern Zone Chandpur 38. Matlab Dakshin Shariatpur 39. Bhedarganj MRB-1 Shariatpur 40. Gosairhat

Page 22 September 2013 B2 Socio-economic data

Figure 2-1: PPTA Bangladesh administrative division

Figure 2-2: PPTA Bangladesh administrative districts, showing 13 sub-reaches

Page 23 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

2.1 Sub-reach Basic Demographics Total Population and Gender Ratio Table 2-2 summarizes the population data for the 13 considered sub-reaches. In Annexure, Table 1 provides basic population data for the 40 upazilas (11 districts) within the 13 concerned sub-reaches, including total population, male and female population, and sex ratio.

The PPTA area population is, overall, 9,784,855 and includes 4,807,784 males and 4,977,071 females, with a 97 sex ratio (females>males when <100), compared to the national sex ratio of 100. JRB 1 and -2 have sex ratios of 101 and 100 respectively.. The eleven downstream sub-reaches all have higher ratios of females to males. It is not clear if this is due to economic out migration or other causes.

Urbanization for Bangladesh is 23.3 per cent. For the sub-reaches, it is far less, at 14.9 per cent on average. Only sub-reach MLB2 which includes Chandpur town is above the national average at 34.5 per cent. The PPTA sub-reach area relies much more on primary sector employment in agriculture, forestry, livestock, and fisheries than does Bangladesh as a whole.

Table 2-2: Proposed River Reaches - Population distribution by sex and sex ratio, by districts and Upazilas, 20113

2011 Population # River Reach Total Males Females Sex Ratio BANGLADESH 144,043,697 72,109,796 71,933,901 100 1 Jamuna Right Bank (JRB) 1 1,052,556 531,479 521,077 102 2 Jamuna Right Bank (JRB) 2 915,190 458,181 457,009 100 3 Jamuna Left Bank (JLB) 1 1,138,675 563,496 575,179 98 4 Jamuna Left Bank (JLB) 2 1,104,840 537,140 567,700 95 5 Padma Left Bank (PLB) 1 736,182 356,056 380,126 94 6 Padma Left Bank (PLB) 2 1,093,244 527,272 565,972 93 7 Padma Left Bank (PLB) 3 739,678 371,875 367,803 101 8 Padma Right Bank (PRB) 1 687,648 339,119 348,529 97 9 Padma Right Bank (PRB) 2 978,173 481,107 497,066 97 10 Padma Right Bank (PRB) 3 743,883 362,516 381,367 94 11 Meghna Left Bank (MLB) 1 292,057 140,753 151,304 93 12 Meghna Left Bank (MLB) 2 675,969 324,687 351,282 87 13 Meghna Right Bank (MRB) 1 410,899 197,570 213,329 93 TOTAL 10,568,994 5,191,251 5,377,743 97

3Government of the People’s Republic of Bangladesh.June 2012.Bangladesh Population and Housing Census 2011 Community Reports, Population and Housing Census 2011.Bangladesh Bureau of Statistics, Statistics and Informatics Division, Ministry of Planning, Dhaka.

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Urbanization - Rural Versus Urban Population Table 2-3: Proposed River Reaches – Urbanization, Percentage of Rural/Urban Population, 2011 # RIVER REACH/POLITICAL ENTITY RURAL % URBAN % TOTAL BANGLADESH 110,480,514 76.7 33,563,183 23.3 144,043,697 1 Jamuna Right Bank (JRB) 1 895,912 85.1 156,644 14.9 1,052,556 2 Jamuna Right Bank (JRB) 2 800,957 87.5 114,233 12.5 915,190 3 Jamuna Left Bank (JLB) 1 917,935 80.6 221,010 19.4 1,138,675 4 Jamuna Left Bank (JLB) 2 1,043,089 94.4 61,751 5.6 1,104,840 5 Padma Left Bank (PLB) 1 634,945 86.3 101,207 13.7 736,152 6 Padma Left Bank (PLB) 2 1,021,202 93.4 72,040 6.6 1,093,242 7 Padma Left Bank (PLB) 3 578,822 78.3 160,886 21.7 739,708 8 Padma Right Bank (PRB) 1 565,726 82.3 121,922 17.7 687,648 9 Padma Right Bank (PRB) 2 780,313 79.8 197,860 20.2 978,173 10 Padma Right Bank (PRB) 3 667,748 89.8 76,135 10.2 743,883 11 Meghna Left Bank (MLB) 1 255,366 87.4 36,691 12.6 292,057 12 Meghna Left Bank (MLB) 2 445,618 65.9 230,351 34.1 675,969 13 Meghna Right Bank (MRB) 1 390,737 95.1 20,162 4.9 410,899 TOTAL 8,998,370 85.1 1,570,892 14.9 10,568,992

Table 2-4: Proposed River Reaches - Rural, Urban and Other Urban Households Distribution and Average Household Size, 2011 # RIVER RURAL COMBINED URBAN TOTAL REACH/POLITI URBAN 4 OTHER URBAN5 TOTAL CAL ENTITY HH AV HH AV HH AV HH AV HH AV BANGLADESH 24,671,590 4.46 6,133,012 4.36 1,369,028 4.42 7,502,040 4.39 32,173,630 4.44 1 Jamuna Right 195,524 4.54 30,455 4.54 4,008 4.18 34,463 4.25 229,987 4.53 Bank (JRB) 1 2 Jamuna Right 183,980 4.32 26,164 4.35 0 0 26,164 4.35 210,144 4.37 Bank (JRB) 2 3 Jamuna Left 213,493 4.27 46,338 4.16 4,020 4.05 50,358 4.08 263,851 13.34 Bank (JLB) 1 4 Jamuna Left 246,068 4.22 0 0 15,308 4.02 15,308 4.02 261,376 4.19 Bank (JLB) 2 5 Padma Left 146,550 4.27 22,567 4.30 662 4.03 23,229 4.13 169,779 4.26 Bank (PLB) 1 6 Padma Left 221,213 3.05 8,056 4.71 8,105 4.18 16,161 4.27 237,374 35.13 Bank (PLB) 2 7 Padma Left 126,347 4.5 25,045 4.34 9,655 4.45 34,700 4.37 161,047 70.26 Bank (PLB) 3 8 Padma Right 129,542 4.41 23,382 4.40 3,935 4.58 27,317 4.49 156,859 4.41 Bank (PRB) 1 9 Padma Right 170,842 4.53 34,889 4.37 9,464 4.34 44353 4.34 215,195 4.49 Bank (PRB) 2 10 Padma Right 144,299 4.61 14,918 4.56 1,736 4.68 16,654 4.62 160,953 4.61 Bank (PRB) 3 11 Meghna Left 55,900 4.58 7,884 4.70 0 0 7,884 4.70 63,784 4.60 Bank (MLB) 1 12 Meghna Left 94,183 4.70 47,004 4.51 2,491 4.90 49,495 4.50 143,678 5.65 Bank (MLB) 2 13 Meghna Right 82,137 4.76 1,791 4.62 2,546 4.80 4,337 4.67 86,474 4.75 Bank (MRB) 1 TOTAL 2,010,078 4.37 288,493 4.45 61,930 4.81 350,423 4.37 2,360,501 4.55

4Urban Area: It corresponds with area developed around a central place having such amenities as metalled roads, improved communication, electricity, gas, water supply, sewerage, sanitation and also having comparatively higher density of population with majority population in non-agriculture occupations. i) City Corporation: It includes city corporation area declared by the Ministry of Local Government. ii) Paurashava/Municipality Area: It includes paurashavas incorporated and administered by local government under Paurashava Ordinance, 1977. 5 Other Urban Areas includes those upazila headquarters which are not paurashavas. The only exception is the 17 unions adjacent to Dhaka City Corporation under Dhaka Metropolitan Area. These unions are treated as other urban areas on the basis of their urban characteristics.

Page 25 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Area and Population Density The average population density for Bangladesh is 976 persons per km2 (BBS 2011 census). The average overall for the PPTA sub-reaches area is below the national average, at 946 Km2 but not by much. The first three sub-reaches, JRB-1, JRB-2 and JLB-1 have a somewhat higher density than the national average, at 1814, 1001, and 1549 persons per km2 respectively. PLB-3 is as high as 2,267 persons per km2. In contrast, PLB-2 and PLB-3 have a very low density, at 204 and 287 persons per km2 respectively.

Literacy and School Attendance Literacy in the sub-reach area is predictably below the national average, though some of the sub- reaches have a higher level of literacy than Bangladesh as a whole. However, the upstream sub-reaches, on the Jamuna consistently are below the national average.

Table 2-5: Sub-Reaches – Area (Km2), Population, Density of Inhabitants (per Km2), 2011

# RIVER REACH Area Km2 Population Density Inhabitants per Km2 BANGLADESH 147,569.06 144,043,697 976 1 Jamuna Right Bank (JRB) 1 580 1,052,556 1,815 2 Jamuna Right Bank (JRB) 2 915 915,190 1,000 3 Jamuna Left Bank (JLB) 1 788 1,138,675 1,445 4 Jamuna Left Bank (JLB) 2 1,212 1,104,840 912 5 Padma Left Bank (PLB) 1 682 736,182 1,079 6 Padma Left Bank (PLB) 2 789 1,093,244 1,386 7 Padma Left Bank (PLB) 3 441 739,678 1,677 8 Padma Right Bank (PRB) 1 876 687,648 785 9 Padma Right Bank (PRB) 2 1,055 978,173 927 10 Padma Right Bank (PRB) 3 801 743,883 929 11 Meghna Left Bank (MLB) 1 277 292,057 1,054 12 Meghna Left Bank (MLB) 2 440 675,969 1,536 13 Meghna Right Bank (MRB) 1 435 410,899 945 TOTAL SUB REACHES 9,291.00 10,568,994 1,138

Table 2-6: Sub-Reaches – Percentage of Population Literate, by Gender, 2011

# RIVER REACH/POLITICAL ENTITY MALE FEMALE TOTAL Bangladesh 54.1 49.4 51.8 1. Jamuna Right Bank (JRB) 1 46.2 40.6 43.4 2. Jamuna Right Bank (JRB) 2 44.4 40.3 42.3 3. Jamuna Left Bank (JLB) 1 52.8 45.7 49.2 4. Jamuna Left Bank (JLB) 2 49.2 40.8 44.9 5. Padma Left Bank (PLB) 1 52.3 48.3 50.2 6. Padma Left Bank (PLB) 2 56.6 57.1 56.9 7. Padma Left Bank (PLB) 3 56.3 56.0 56.2 8. Padma Right Bank (PRB) 1 50.6 47.0 48.8 9. Padma Right Bank (PRB) 2 47.6 45.5 46.6 10. Padma Right Bank (PRB) 3 47.3 45.8 46.6 11. Meghna Left Bank (MLB) 1 55.8 53.1 54.4 12. Meghna Left Bank (MLB) 2 56.2 56.6 56.4 13. Meghna Right Bank (MRB) 1 42.5 42.0 42.4 AVERAGE 50.6 47.6 48.5

Surprising, the percentage of population attending school is overall above the national average. On the other hand, on the Jamuna, no sub-reach exceeds the national level, a poverty indicator.

Page 26 September 2013 B2 Socio-economic data

Table 2-7: Sub-Reaches – Percentage of Population Attending School (5-24 Years), by Gender, 2011

# RIVER REACH/POLITICAL ENTITY MALE FEMALE TOTAL BANGLADESH 54.1 49.4 51.8 1. Jamuna Right Bank (JRB) 1 52.2 47.4 49.7 2. Jamuna Right Bank (JRB) 2 53.4 48.0 50.7 3. Jamuna Left Bank (JLB) 1 58.6 50.9 54.7 4. Jamuna Left Bank (JLB) 2 58.9 50.0 54.4 5. Padma Left Bank (PLB) 1 59.4 72.8 56.1 6. Padma Left Bank (PLB) 2 55.6 51.2 53.3 7. Padma Left Bank (PLB) 3 53.8 51.7 52.8 8. Padma Right Bank (PRB) 1 57.4 53.6 55.5 9. Padma Right Bank (PRB) 2 54.0 52.4 53.2 10. Padma Right Bank (PRB) 3 53.6 53.6 53.5 11. Meghna Left Bank (MLB) 1 60.0 56.7 58.3 12. Meghna Left Bank (MLB) 2 58.7 54.8 56.7 13. Meghna Right Bank (MRB) 1 55.2 53.5 54.3 AVERAGE 60.1 53.6 54.1

3 Poverty The following Table 3-1 was developed from CEGIS data, from 2010 Household Income and Expenditure Survey (HIES) data.6 The national upper poverty line in 2005 was at around 40 per cent, while the lower poverty line was at 25.1 per cent, and these dropped to 31.5 per cent and 17.1 per cent by the HIES 2010.7 Based on the 2010 Upper and Lower Poverty Line national averages, the entire PPTA area has a larger proportion of poor than the national average. The following table indicates that the highest rates are upstream, in the JRB 1 and 2 sub-reaches.

The recent update of the poverty maps of Bangladesh from 2001 to 2005 illustrates, among other variables, in particular a high correlation with the PPTA area, with natural disasters and poverty. The poverty mapping is a statistical to estimate the incidence of poverty at sub-national levels, enabling to identify locations of poor areas with great accuracy, for more effective targeting.8

The official poverty rates in Bangladesh are produced only using HIES data at the National and Division levels. While the Division Map below illustrates a clear east-west division, the Upazila Map to the right unveils large variations in poverty incidence within the east and west, including withinthe PPTA area, outlined with a white dash-line. The lower level data was produced using the HIES 2005 in conjunction with the Population Census 2001, using a Small Area Estimation Method.9

6Government of Bangladesh; Bangladesh Bureau of Statistics (BBS), in collaboration with the United Nations World Food Programme (WFP). 2004. Local Estimation of Poverty and Malnutrition in Bangladesh. http://siteresources.worldbank.org/ INTPGI/Resources/342674-1092157888460/BangladeshBureauStatistics. LocalEstimation.pdf 7Eusuf, M. Abu. 2011. Urban Poverty and Social Safety Nets in Bangladesh: Dynamic Analysis using Pseudo Panel Data. DRAFT Paper presented at international conference –Scaling up Social protection in Bangladesh: Providing Ladders out of Poverty and Social Safety Nets, 9th – 10th October, Dhaka, Bangladesh http://www.undp.org.bd/Social Protection Docs/AbuEusuf UNDP Conference Paper for Social Protection Conference 9 -10 October 2011.pdf 8 Government of Bangladesh; Bangladesh Bureau of Statistics (BBS), in collaboration World Bank (WB) and United Nations World Food Programme (WFP). 2009. Updating Poverty Maps of Bangladesh: Key Findings. Dhaka. http://www.bbs.gov.bd/WebTestApplication/userfiles/Image/UpdatingPovertyMapsofBangladesh.pdf 9Elbers, C. J.O. Lanjouw, and P. Lanjouw. 2003. “Micro-Level Estimation of Poverty and Inequality,” Econometrics, 71(1): 355- 364.

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Table 3-1: Sub-Reaches – Upper and Lower Poverty Lines, HIES 2010

# RIVER REACH Upper Poverty Line Lower Poverty Line BANGLADESH 31.5% 17.1% 1 Jamuna Right Bank (JRB) 1 60% 22% 2 Jamuna Right Bank (JRB) 2 60% 32% 3 Jamuna Left Bank (JLB) 1 48% 32% 4 Jamuna Left Bank (JLB) 2 48% 32% 5 Padma Left Bank (PLB) 1 48% 32% 6 Padma Left Bank (PLB) 2 48% 32% 7 Padma Left Bank (PLB) 3 36% 22% 8 Padma Right Bank (PRB) 1 48% 32% 9 Padma Right Bank (PRB) 2 48% 32% 10 Padma Right Bank (PRB) 3 36% 22% 11 Meghna Left Bank (MLB) 1 36% 22% 12 Meghna Left Bank (MLB) 2 36% 22% 13 Meghna Right Bank (MRB) 1 36% 22% Source: CEGIS, 2012

Figure 3-1: Poverty map at division level (left) and at upazila level (right), 2005

The upstream PPTA Sub-Reaches within Rajshahi Division are at the highest poverty levels, especially compared to Dhaka and other divisions, with the exception of Barisal.

The official Bangladesh Poverty measurement includes two types of poverty lines: (i) Upper Poverty Lines and (ii) Lower Poverty Lines. An upper poverty line represents a higher level of per capita household expenditure than lower poverty line. As a result, if an upper poverty line is adopted, more households and individuals are defined as poor than if a lower poverty line is adopted. In Bangladesh, the upper poverty lines are on average 20 per cent higher than the lower poverty lines.

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3.1 Natural Disasters and Poverty Particularly relevant to this PPTA are the following maps comparing natural disaster areas in Bangladesh with poverty hot pockets. For instance, it’s been noted that: “The pockets of high poverty incidence generally coincide with the ecologically poor areas of Bangladesh:10

1. The low-lying depression area, called haor, in the north-east; 2. The drought-prone area on relatively higher land in the north-west; 3. Several upazila fringing the major rivers, particularly along the Jamuna River; and 4. Several of the south-eastern upazila, including the Chittagong Hill Tract.

Figure 3-2: Poverty map upazila level (2005) and areas affected by floods and tidal surges Floods and cyclones frequently cause severe damage to lives and livelihoods, especially for the poor. Poor households are often disadvantaged with regards to land access, and end up settling in vulnerable areas, such as low-lying regions near rivers or coasts. The maps below in Figure 3-2 illustrate the relationship between natural disasters and poverty incidence. As before the PPTA area is indicated by white dash-lines.

There are some areas where clear correlations exist between poverty and proneness to natural disasters. Monga11 and Char areas are vulnerable to flooding and are also poor. The coastal areas, where poverty rates are high, are prone to severe tidal surges and cyclones.

10Kam, Suan-Pheng; Mahabub Hossain 1; Manik Lal Bose; Lorena S. Villano. 2005. Spatial patterns of rural poverty and their relationship with welfare-influencing factors in Bangladesh. Food Policy 30 (2005) 551–567 11Monga is a Bengali term referring to the yearly cyclical phenomenon of poverty and hunger in Bangladesh. It is also called "mora Kartik," which means "months of death and disaster." It refers to two times per year, from September-November (after the aman crop is planted) and from March-April (after the boro crop is planted). These natural phenomena lead to fewer

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3.2 Erosion Erosion is an annual disaster for many households along the PPTA Sub-Reaches. It is difficult to find reliable data for this problem in our area of interest. However, a case study from the The Jamuna- Meghna River Erosion Mitigation Project (JMREMP) illustrates the damages to affected households and communities particularly along the Jamuna River, but the example holds for the Padma, and Meghna Rivers as well.12

In 2003 a community of squatters on what was called the Old Embankment resided on Bangladesh Water Board (BWDB) owned land without hope of an alternative to having it’s mostly kutcha structures swept away by the Jamuna River during succeeding Monsoon seasons. The Old Embankment had been some distance inland at one point, but the Jamuna waters had eroded all lands standing between its waters and the largely earthen embankment. Many of these mainland people, now ‘squatters,’ had once owned land that now lay under the river and so were now landless and without anywhere else to settle in one of the most over-crowded countries in the world.

Figure 3-3 below illustrates the dry channel migration over the decade 1992-2002 in relation to the present Old Embankment community, which may be referred to as the ‘Old Embankment Village.’ The Old Embankment Village’s plight was far from unique, as it was one of communities along the Jamuna and the other major Bangladesh rivers in a similar situation.

available job opportunities for rural workers, resulting in the workers becoming migrant and moving to towns. Those who cannot migrate can face malnutrition and starvation. The public awareness of Monga has risen with media focus in the 2000s. It was cited in Bangladesh’s Poverty Reduction Strategy Paper, and has been the subject of NGO aid programs. Char areas are included among Monga, cf, The Chars Livelihoods Programme (CLP), financed by the UK’s Department for International. Development (DFID). The poorest households in the Jamuna Chars region, a low lying area prone to floods and erosion in northern Bangladesh, are provided with income generating assets worth approximately 13,000 Taka. This livelihoods intervention support includes a monthly stipend for 18 months of 300 Taka per month, infrastructure development, social development training, seasonal work and promotes entrepreneurship in the agricultural and non-farm sectors. http://www.clp-bangladesh.org/ 12Involuntary Meets Disaster Mitigation Resettlement: A Case Study from Erosion Mitigation on the Lower Brahmaputra/Jamuna River in Bangladesh; Ragsdale, Tod (MESAS, LLC); Oberhagemann, Knut (nhc); and Faisal, M. Amir (BWDB, Chief Resettlement Officer). Presented at the Expanding the Borders of Disaster-caused Displacement Research (INDR) Session of the 68thAnnual Meeting of the Society for Applied Anthropology in Memphis, TN (The Public Sphere and Engaged Scholarship: Challenges and Opportunities for Applied Anthropology. March 28, 2008.

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Figure 3-3: Old Embankment Village in relation to Jamuna River’s dry season

Channel Migration 1992-2002 Riverbank erosion is a perennial problem in Bangladesh. Large monsoon flows transport extreme amounts of sediment from the Himalayan Mountains to the sea flow through the delta of Bangladesh formed by the same soils. These fine soils have no resistance to the flowing water and are easily transported and deposited. As a consequence the large rivers have quite an unpredictable behavior with the permanent risk of riverbank erosion. Riverbank erosion can exceed one kilometer per year and poses a substantial risk to floodplain dwellers. The loss of land is accompanied by a loss of infrastructure such as flood embankments, schools, hospitals, cultural and religious monuments and, of course, agricultural lands and assets. It has been estimated that tens of thousands of people are displaced annually by river erosion in Bangladesh, possibly up to 100,000. The first immediate relief after erosion is provided by the nearby flood embankments. As a consequence of continuous erosion many embankments are densely occupied by squatters.13

13 Others move to slums in the bigger cities, especially in the capital Dhaka. While no recent figures are available, historic studies from the mid 1980s indicate that in some slums in Dhaka more than 40% of the population named river erosion as primary cause for their migration into slums. The life on the flood embankments and in slums results in special hardship, such as a lack of minimum services, drinking water, ration cards, schooling for children, health facilities, and attention of the local government (Ibid.). In 2007 nearly 14 Million people (10% of the population) in more than 20 districts were affected by the floods limited to the Brahmaputra River. The flood damages are counted by the billions, considering the extreme population density of more than 1,000 persons per square kilometer.Viswanathan, Sujatha and Ravi Srivastava. 2007. Learning from the Poor: Findings from Participatory Poverty Assessments in India. Manila: Asian Development Bank. http://www.adb.org/Documents/Books/Learning-From-the-Poor/Learning-From-the-Poor.pdf

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Old Embankment Village in 2003 consisted of some 223 households, of 1,126 people, along a 600 m stretch of what was left of the original embankment. Only 6 households owned their own homestead land; the others resided without permission on the Bangladesh Water Board Government land. The illegal dwellings are constantly threatened by eviction, putting additional stress especially on the female family members living there. Structures were largely kuccha – made with wood often salvaged from their previous homes, bamboo and straw with corrugated CI sheet tin roofs.

Most households earned their income through daily wages in surrounding, more stable communities. A very few ran small businesses; for instance the village had six shops selling tea and sundries. Very few people living on the bankline depended directly on farming as a source of income, as virtually all has been rendered landless by river erosion.

Over seventy percent of households had an income below the official poverty line14 in Bangladesh and over fifty percent were living below the extreme poverty line, with on average households earning less than a US dollar per day.

The following photographs illustrate the precarious situation of the Old Embankment Village during seasonal high and low waters.

Figure 3-4: Old Embankment Village during high water season, 2005

14 The official poverty line was calculated at 2,122 KCal intake per person per day ensured by a per capita monthly income of taka 720.

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Figure 3-5: Old Embankment Village during seasonal high water season, 2005

Figure 3-6: Walking through Old Embankment Village during low water season, 2005

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Figure 3-7: location of primary school and grave yard lost in 2004 monsoon

During the 2004 monsoon other communities nearby lost their primary school and its grave yard from Jamuna erosion. The following photograph shows the location of these two communal properties.

3.3 Char lands and char people Of particular interest to the PPTA are char areas on the Jamuna River. An estimated 6.5 millions people live in 28 char upazilas of five districts presently covered by a DIFID funded Chars Livelihoods Programme (CLP), which includes Sirajganj District from our PPTA area (Jamuna Right Bank (JRB) 1). Some 2 million people living in the Chars are extremely poor. The CLP is focused on getting Government attention for a better integration of these regions into Bangladesh’s wider socio-economic development.15

The Jamuna is a so-called “braided river’ – consisting of several channels flowing around larger and smaller islands.16 These islands are called chars in Bangladesh. Rivers can be categorized as “braided,” meandering” and “straight.” In Bangladesh, an island, which consists of sediment deposits and exists only over a limited period of time, is called a ‘char.’ The size of the channels varies. While some are only two hundred meters wide and three meters, others can be up to five kilometers wide and forty meters deep.17 They alter their course during the whole year, but especially in the monsoon season. Then, the river erodes several hectares of land, part of which it deposits at another place. The Jamuna therefore transports up to 600 million tons of sediment per year, ranging from very small and fertile particles up

15Chars Livelihoods Programme(CLP) http://www.clp-bangladesh.org/ 16 Schmuck-Widmann, Hanna. 2001. Facing the Jamuna River: Indigenous and engineering knowledge in Bangladesh. Dhaka: Bangladesh Resource Centre for Indigenous Knowledge (BARCIK). 17 FAP 24 (1996b): Bathymetric Surveys, Special Report 3, Dhaka: Flood Plan Dhaka: Flood Plan Coordination Organization & Commission of the European Communities. Quoted in Schmuck-Widmann (2001).

Page 34 September 2013 B2 Socio-economic data to course sand, but no gravel or larger stones. The sediments are deposited as dunes in the river bed, which are between four and 350, in some cases up to 600 meters long.18

The behavior of the Jamuna is harmful to its residents. According to estimates from the 1990s, every year about 30,000 people have to give way to the river. Since 1973, it has washed away more than 70,000 hectares of land used for farming and habitation, part of which was deposed, however, elsewhere (Schmuck-Widmann 2001).The process of deposition erosion and re-deposition has been going on continuously making it difficult to precisely demarcate the boundary between the district of Pabna on one side and the district of Mymensingh Tangail and Dhaka on the other. Breaking of a char or the emergence of a new one is also a cause of much violence and litigation. The vulnerable poor are not just those who have impacted by flooding but many more are river erosion refugees.

The incidence of poverty remains high in Bangladesh. Analysis of national data shows that the incidence of poverty is not evenly distributed across the region. High concentration exists in specific areas, such as along the major rivers (char lands). Such poverty persists because of increasing inequality between regions as well as people. It has been found that the districts of riverine chars are amongst the poorest in Bangladesh. Chars areas are characterized by a set of specific features that set them apart from other parts of Bangladesh and that justify different approach.

In physical terms, chars are nearly accreted from the river/sea and are consequently low lying. This makes char dwellers vulnerable to both floods and erosion. The soils are often of relatively high salinity with relatively low contents of organic materials, which causes low fertility compared to mainland. Individual and household mobility is high and displacement is common in chars areas. A fragile physical environment, limited assets, reduced income opportunities, remoteness and absence of mainland institutions and services together make char dwellers’ livelihoods particularly vulnerable to extreme poverty and destitution.19 The Jamuna River has likely not reached its final stage of braiding. It rather has to be expected that parts of the mainland will also in the future disappear into the river and in the best case turn into chars (Schmuck-Widmann 2001).

The Char People. The inhabitants of the chars and their land are not included in much of Bangladesh’s official data, as even less has been known about these people up to now than about the Jamuna. However, an anthropological study by Schmuck-Widmann conducted in the mid-1990s sheds rare light on the complex fabric of the life of the char-people and is quoted extensively in the chapter as critical background for understanding the planned interventions that may affect and, hopefully, help them.20

According to 1990s estimates, 2.3 million people specifically live in the Jamuna chars. Most of them are Muslims, Hindus being a minority of a few families. There’s no data to give percentages, but on the surrounding mainland, Muslims are almost 90 percent of the population, and the rest are Hindus, Christians and Buddhists. Their main income source is agriculture supplemented by animal husbandry, small businesses and fishing. Little is known about this population, the choira, as the Jamuna chars were regarded at least up the 1990s when Schumk-Widmann did her anthropological fieldwork, as a dangerous and barely accessible region, due to the natural conditions: during the summer, strong

18 Schmuck-Widmann (2001) quoting other FAP documents of 1996. 19Chars Livelihoods Programme (CLP) http://www.clp-bangladesh.org/ 20 Schmuck-Widmann, Hanna. 2001. Facing the Jamuna River: Indigenous and engineering knowledge in Bangladesh. Dhaka: Bangladesh Resource Centre for Indigenous Knowledge (BARCIK).

Page 35 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program currents and thunderstorms make boat trips a hazardous undertaking, and in winter one has to rely on walking, as the river bed is too sandy for vehicles (Schmuck-Widmann 2001).

But is not only their isolation which turned the chars into a blind spot. The choira’s reputation also played a part: they were regard as ‘primitive, backwards, violent, and the term choira itself had negative connotations,’ and many city dwellers Schmuck-Widmann found were not aware that people live on the chars permanently (ibid.). Only in the 1990s attention turned to the chars within the context of Flood Action Plans (FAPs). FAP 16 (1995) highlighted these reservations towards the char-people: “Mainlanders regard them in various ways, some are disdainful, some envious of their freedom from the constraints of society, some are in awe of their reputation for violence” (Ibid.). The inhabitants of the chars were aware of these opinions and in some contexts avoided mentioning their origin. They called themselves chorer-manush or chorer-lok, “char-people” or ‘char-folks.” At the same time they were in constant contact with the river-dwellers and mainlanders in family and business relationships.

Figure 3-8: Char people21 Contrary to common opinion in Bangladesh, overpopulation of the mainland during the past decades is not a major reason for the settlement of the chars. It can however be explained by the development of the Jamuna from a meandering, relatively small river into a wide and braided one. Maps from the last centuries show that a large part of the land today surrounded by water was once connected to the mainland. Some of the listed villagers still exist today, but the areas close to the banks were at that time more a habitat for wild animals than for human beings. Sir William Hunter (1975) estimated the number of tigers near the shore areas to be higher than anywhere else on the Indian subcontinent.22 He also reported deer, leopards, rhinoceros and crocodiles which became, however, increasingly displace by

21http://www.emse.fr/~bouchardon/enseignement/regard/bangladesh/regard-bangladesh-jamuna-char-life/page_01.htm 22 Hunter, William Wilson. 1875. A Statistical Account of Bengal. Vol. V, Districts of Dacca, Bakarganj, Faridpur and Maimansingh. London: Trubner & Co. Quoted by Schmuck-Widmann (2001).

Page 36 September 2013 B2 Socio-economic data settlers. According to Hunter, the most important crops were jute, indigo, hemp and pulses, but he tells little about the way of life of the peasants.

Apparently, the Jamuna has always been a river which eroded large parts of its banks and accreted new land elsewhere. A colonial officer Francis A. Sachse in 1917 expressed astonishment at the fact that erosion did not make people flee to safer areas further inland. Sachse showed that this had obviously been the case by quoting observations by Buchanan Hamilton, who traveled along the Januna at the beginning of the nineteen century and noticed (Schmuck-Widmann 2001):

“a change in the site of a village of 4 or 5 miles causes little inconvenience and is considered no more than a usual casualty, which produces on the people no effect or consequence. Even the rich never put up buildings of a durable nature.”

Erosion did not cause the people to leave the area: instead, they moved to the next available pice of land in the area. In Schmuck-Widmann’s research area, the Thana Bhuapur, the first sufficiently detailed maps were drawn up in the middle of the 19th century. According to them, some of the char- villages were already in existence at that time, but most were located several miles from the banks of the Januna, as the river was not so wide then. Some other settlements, however, did not exist which confirms the statements of the char-people. According to them, some families have been living for generations in the region, while others left their original village, and settled on charland. Often, village names indicate their history, like Jungipur, “village of warriors.” Its inhabitants report that the jamindar (landowner) offered land to the extended family if his territory for cultivation in return for a part of the harvest. In addition, his tenants were to protect his property from invaders, and if necessary defend it with arms. Other villages named themselves after the original village like Rulipara, “Ruhili-hamlet.” A part of the kinship-group of the village of Ruhuli situated Southeast of Bhuapur moved at the beginning of the 20th century further towards the river bank and founded the village Rulipara. However, at the time the land which Rulipara stands today was still part of the mainland.

While the braiding of the Jamuna, and the destabilization of the river bed, the number and size of the chars increased, but this land was much more exposed to floods and erosion. Today, the islands constantly alter their location: on average a char is only four years old, and a mere ten percent of the chars are more than twenty years old (ibid.). It is difficult to predict whether a sandbank will develop into a char and how long it will remain stable. While some chars are a few hundred meters large, and disappear the following year, others develop in the course of years into islands of more than 40 square kilometers in area, with dense vegetation, because the older a char is the higher above water and more fertile it is. Such chars remain stable for decades. But on the older chars too, the quality of the soil varies; it ranges from fine, fertile silt, doash, to sand, bali. The fertility of the fields changes with every monsoon season as the river deposits fertile or sandy sediment depending on the direction of the flow and the sediment load. During the monsoon season, from June to September, low-lying land is several meters under water. Those families who can afford day-laborers erect bhiti, platforms out of earth, for their farmstead so that the water cannot flood it.

A farmstead, bari, consists of two to four huts, ghor, made out of corrugated iron, reed- and jute-mats fixed with jute ropes onto a bamboo frame. Therefore, a ghor can be dismantled and transported within a few hours. It is poorly furnished: a large wooden bed, choki, which also serves as refuge during high water levels, a rack for clothes, a table with chairs, and a wooden stand with store chests and containers. Usually, a bari is inhabited by parents together with their sons and their wives and children. Only in some cases are domestic conditions matri-local.

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Figure 3-9: Bhiti, platforms of earth, used to raise farmsteads above normal flood levels23

The natural conditions restrict the possibilities for development of an infrastructure so that the inhabitants of the chars are counted amongst the poorest population groups in Bangladesh. In the 1990s, when Schmuck-Widmann was doing her field work, only a few of the numerous Non- Governmental Organizations (NGOs) worked on the Jamuna chars, and the Government hardly invested in this unstable area. Thus, the rate of illiteracy was, at 80 percent, above the country’s average of around 70 percent.24 Even those who went to school could hardly read or write long texts. Nevertheless, the inhabitants of the chars could not be understood as an oral society, Bengali belonging to the most ancient languages of the world with a written script. Besides Bengali, some char-dwellers could also read Arabic and Latin script, and a number of women could read the Koran in Arabic, though not in Bengali (Schmuck-Widmann 2001).

According to Schmuck-Widmann’s observations, the char-people do not migrate to the mainland, nor do the inhabitants of the mainland move to the chars. The char-dwellers stay on the chars, and the inhabitants of the mainland do move to the chars, even if their homesteads and land are washed away or living space becomes scarce. Instead they move further inland or to the cities, though the cars are relatively sparsely inhabited. In contrast to the about 800 inhabitants per square kilometer on the mainland (as of the mid-1990s), 346 people live on average on each square kilometer of the chars.25A woman river-dweller explained the point of such behavior to Schmuck-Widmann: “How shall we survive on the chars? We own no land there and we do not know how to farm ther. Moreover, we are afraid of

23http://www.emse.fr/~bouchardon/enseignement/regard/bangladesh/regard-bangladesh-jamuna-char-life/page_01.htm 24 Schmuck-Widmann was quoting FAP 16, 1995. Environmental Study/Geographic Information System. The Dynamic Physical and Human Environment of Riverine Charlands: Brahmaputra-Jamuna, Irrigation Support. Project for Asia and the Near East (ISPAN), Ministry of Water Resource/Flood Plan Coordination Organization. Another important source is: Elahi, Maudood K., Ahmed, Saleh K., Mafizuddin, Mirza (eds.). 1991. Riverbank Erosioon, Flood and Population Displacement in Bangladesh. Jahangirnagar University: Riverbank Erosion Impact Study. 25FAP 16, 1995.Environmental Study/Geographic Information System. The Dynamic Physical and Human Environment of Riverine Charlands: Brahmaputra-Jamuna, Irrigation Support. Project for Asia and the Near East (ISPAN), Ministry of Water Resource/Flood Plan Coordination Organization.

Page 38 September 2013 B2 Socio-economic data the river. The char-dwellers are used to the river.” By the same token, the inhabitants of the chars explained that they could not move to the mainland, because they did not own land there and had no money to buy land.

Considering the high sums of money the char-people spent on dowry or Muslim feasts, Schmuck- Widmann didn’t think financial constraint could not be the main reason for the fact that the char- people did not move to the mainland.26 Though the char-people describe their life as “very hard,” khub khoshto, they make positive statements about the chars. A standard answer to the question of why they stay on the chars is: “But we are born here! Here is the land of our ancestors, why then should we leave? We like here: it is calm and peaceful, there is a lot of space and the environment is beautiful.” On the mainland they would not feel comfortable, but “like in a cage,” while on the chars they are “free like birds,” As the inhabitants of the region only move within a radius of about ten kilometers and also marry within their Union, all inhabitants are somehow related to each other, so they can count on the assistance and help of relatives in times of crisis.

The Importance of Land. Crises are frequent in the char-dwellers’ lives, because every year they have to reckon with their homesteads being eroded. In addition to that, floods which are too high or too low can lead to harvest losses. But for the char-people, such events are not a reason to give up and join the landless of the mainland on their way to cities. If they cannot hold on to their land, they must at least keep their identity.

Schmuck-Widmann met families along the banks who called themselves chorer-manush (char-people), although they had been living on the mainland for two generations. They were waiting there for their land in the river which would come out some time again and be usable. The whole river bed is the property of the char-people and is passed on to the next generation. Land is also bought and sold – however, always by the inhabitants of one and the same Union. Also land under water can be traded; in this case the char-dwellers speak of ‘buying water.’ To be able to determine the location of the fields, the farmers use maps from the last cadastral survey by the Pakistani Government in 1950, which are based on the first land survey by British Colonial officers from 1911 to 1912.27 The old ownership documents are carefully stored and re-used for the surveying of newly emerged land. In every settlement there are one or more surveyors, amin. Some carry out this function without being able to read and write, except for numbers. But, as according to Bangladeshi law, land which has been under water for more than thirty years becomes Government owned land (khas), the char-people regularly pay taxes for land under water, as if it was usable. According to Schmuck-Widmann, “The responsible authorities on the mainlandknow about this custom, however they do not consider it useful to determine charland every year again. As long as the char-people pay taxes they turn a blind on this.”

26 Dowry payments for marrying a daughter amounted to 100,000 Taka (about 2,500 US-Dollars in 1997); this corresponds to twice the annual income of a well-off char-family. 500 squar meters on the mainland for a farmstead including a small homestead garden cost in 1997 about 30,000 Taka. 27 At the time of Schmuck-Widmann’s research, new maps were expected to be published from Government efforts to update the land recordings.

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Figure 3-10: Protection by trees and catkin grass28

The inhabitants of the chars insist on their land in the river because it is their most important capital. Even if a char-dweller has to make his living primarily from non-farming sources as the land presently available cannot feed his family, he still calls himself krishok, peasant. Besides farming, the char-people raise cattle, goats and sheep, because in times of crises the animals can quickly be turned into money. The cultivation of crops is based around the level of the fields, the most important products being rice, wheat, jute, mustard, pulses, groundnuts and vegetables. When parts of the river bed are dry, the farmers cultivate rice on the silted areas and groundnut, pulses and sweet potatoes on the more sandy ones. A considerable part of the chars consists of pasture land and the catkin reed, which grows wild, but is also planted as erosion protection.

Erosion: Erosion is said by the inhabitants of the chars to be the ‘biggest proble,’ by which they are confronted several times during their lives.

According to a household survey covered 20 families, around 200 persons, a char-dweller can expect to have moved eight times on average by the time hi is 40. In order to protect their char from erosion, the farmers plant the catkin reed (lat. Saccharum spontaneum). Kaisha or kash, as the char-people call this reed, has extremely few needs and grows on soil where no other plant can grow. Because it grows with the water level it also survives high floods. Due to its dense vegetation it fixes the fine, fertile sediments. Besides erosion protection, catkin is also the most important fodder during the monsoon season, fuel and building material. With catkin, land can grow around eight to nine feet within just one year.29

28Islam, M. N., M. Z. Islam and K. Fujita (2011), “Coping with flood disaster: household level responses by the char-dwellers on the river Padma in Bangladesh”, Indian Journal of Power and River Valley Development, Vol. 61, Nos. 9&10, pp. 159-171. http://www.academia.edu/1110907/Coping_with_flood_disaster_household_level_responses_by_the_char-dwellers on the river Padma_in_Bangladesh 29 The reed can be cut all year round, but the best time is after it blossoms in November. To create a catkin-field, the char- people select at the beginning of the dry season in October places where sedimentation can be encouraged and land needs to be protected from erosion. To do this, they cut existing catkin and stick the lower part of the plant into the soil. There are a range of other reed species each having its own use, such as the demarcation of field boundaries, hedges and to make baskets and brooms.

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The char-people only plant catkin when they have sufficient labor to cultivate the fields. The most favorable time for planting the grass coincides with the sowing of the winter crops, the latter having priority. All agricultural work is solely done by men who unite in a shomaj, meaning ‘society.’ The organization into shomaj is not peculiar to char-society; the rural population of the mainland is also organized that way. There, however, it does not play such an important role. On the mainland, the shomaj is a ‘lifetime bond,’ but this may not be true in char society, where circumstances can force people to separate. Even though it may not be as permanent as its mainland counterpart, the char shomaj imposes strongly binding commitments on its members; and failing to meet those commitments can result in social ostracism, which in the char environment could be a dangerous position.

Char-Village Society. The organization of the char-people into a shomaj plays a crucial role in char society. It enables them to manage moves without major losses and to cope with crises successfully, as the members are obligated to help each other. A shomaj has on average 120 male members from the age of about 20 onwards meeting regularly after the Friday prayers in front of their mosque and, if need be, holding a shalish. These are meetings where conflicts are settled and problems discussed.30 Women belong automatically to the shomaj of their husbands, but do not participate in the shalish. A shomaj consists of several patrilinear kinship-groups, bongsho, each of them having a matabor, leader. If a bongsho is very big it constitutes a shomaj on its own. The shomaj normally lasts several generations, but splits up if heavy conflicts arise or erosion separates the shomaj.

Usually a shomaj moves as a whole. Therefore, it is rare to find homesteads on their own. Several shomaj form a gram or para, ‘village’ or ‘hamlet,’ to which they also belong after leaving its original location. The name of the village corresponds to the original mauja, the smallest revenue unit, in which it was located at the time of the cadastral survy by the British Colonial rulers. When a village is washed away, the people always move with the original mauja-name to another char. Therefore some villages have the same name; at the same time there are villages having several names.31

The village – or rather mauja-name – plays an important role for the char-people. When meeting a stranger, someone immediately asks Apni ki gramer lok, meaning “Which village’s people are you?”. Keeping the name of the mauja serves not only to establish identification, but also to find one’s way on the river. As it is seldom that erosion and emergence of new land coincide, only in a few cases is a bongsho still on its own land, its original mauja. According to a char-specific common law, people may settle anywhere without being expelled by the owner ‘because you never know when you might need to depend on this right yourself,’ the char-dwellers explain. The cost of a lease for a farmstead was in the mid-1990s fixed with a small sum of a maximum 500 Taka per year, about 13 US-Dollars (Schmuck- Widmann 2001).

The matabor plays an especially important role, due to their tasks as those having specialist knowledge about the situation of the chars, the place of residence and the history of the individual bongsho, and about the processes and phenomena of the Jamuna. The function of the matabor is inherited by the eldest son, but can also be assumed by one of his brothers, if he proves to be incompetent or is absent over a long period of time. To his duties belong, besides the precise observation of the river and the change in the chars, the settling of conflicts, the cultivation of relationships with other groups, the

30Shalish is in Bangladesh a social system for informal adjudication of petty disputes both civil and criminal, by local notables, such as matbars (leaders) or shalishkars (adjudicators). 31 So a settlement on the chars does not correspond to a ‘village’ in the European idea, and no term exists corresponding with a ‘char-village.’

Page 41 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program representation of his group’s interests and marriage negotiations. In order to enable a matabor to comply with this, his relatives or day-laborers usually cultivate his fields. In the first place he has a duty to his bongsho, and only afterwards to the shomaj. A woman cannot perform this function. Her duties lie in the domestic field and women only leave their husbands’ villages to visit their parents or to see a doctor (Schmuck-Widmann 2001).

3.4 Market accessibility and poverty Improved access to markets is an important element of rual development and poverty alleviation. The two maps below illustrate the relationship between poverty and market access. The Map of Travel Time to Dhaka (Hr) indicates longer travel time using a darker color. Travel time was estimated from the road network information while updating Bangladesh poverty maps using GIS software.32

Comparing the Map of Travel Time to Dhaka with the Poverty Map, it seems apparent that there exists a high correlation between travel time to Dhaka and poverty incidence. For example, the ‘Monga areas,’ which correspond to the upstream PPTA considered sub-reaches (within the white-dashed lined boxes), as well as the coastal areas, are both far away from Dhaka and are very poor. In contrast, the areas between Dhaka City and Chittagong City record less travel time to Dhaka and lower poverty rates.

3.5 Poverty and agricultural wage rate For many landless and marginal land holders, agricultural labor is the dominant source of income. However, such income is unstable, seasonal, and vulnerable to natural disasters. Agricultural laborers constitute a large proportion of the poor and the vulnerable in Bangladesh, and the level of agricultural wages is a key determinant of rural poverty.

The two maps below show both poverty and agricultural labor wage rates. Poor areas suffer from low average agricultural wage rates. For example, the north western part, which constitutes the upstream PPTA sub-reaches (indicated in both maps by white dash-lines box), as well as in the south western parts of Bangladesh, the agricultural wages are low and the poverty rates are high. The agricultural wage rate in the west is, overall, lower than in the east, contributing to the east-west division noted earlier.

32Government of Bangladesh; Bangladesh Bureau of Statistics (BBS), in collaboration World Bank (WB) and United Nations World Food Programme (WFP). 2009. Updating Poverty Maps of Bangladesh: Key Findings. Dhaka. http://www.bbs.gov.bd/WebTestApplication/userfiles/Image/UpdatingPovertyMapsofBangladesh.pdf

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Figure 3-11: poverty map upazila level (2005) market accessibility and poverty

Figure 3-12: poverty map upazila level (2005) poverty and agricultural wage rate

Page 43 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

3.6 Educational Attainment and Poverty Education is critical for upward mobility, allowing access to job and earning opportunities. Education levels are often highly correlated with poverty status ‘by the head of household.’ The two following maps illustrate poverty and education patterns. Regions near Dhaka and Chittagong show both relatively lower poverty rates, and relatively higher rate of primary school completion by the head of household. The PPTA area is indicated by white dash-lines. From the north project area and follow up the Jamuna chalands, it’s clear that both poverty and low levels of primary school completion by head of house are apparently correlated. However, as we saw earlier in Table 2-7 that much of the PPTA sub- reaches have a higher level of attendance at at school, except for the norther Jamuna River sub- reaches.

However, the other characteristics, educational attainment by itself cannot explain all variables in poverty. For example, some coastal areas record very high completion rates while they are also amongth the poorest areas in the country.

Figure 3-13: poverty map upazila level (2005) poverty and household head completed primar education

3.7 Indicators for selecting core sub-reaches The PPTA team has constructed a matrix for selecting the sub-reaches. The two socio-economic indators are the percentage employed in the primary sector (Table 3-1 above), as those who would be the main beneficiaries for stabalizing the river reaches and poverty levels (Table 2-6 above) at the sub-reach level.

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Table 3-2: Sub-Reaches – Percentage of Dwelling Units Employed in the Primary Sector

# RIVER REACH Total Dwelling Units Dependency Dwelling Agriculture/ Agricultural Fishery Total on Primary Units Forestry/Livestock labor Sector % 1 Jamuna Right Bank 177,316 35,319 28,129 1,783 65,231 37% (JRB) 1 2 Jamuna Right Bank 159,245 55,643 32,333 2,645 90,621 57% (JRB) 2 3 Jamuna Left Bank 209,784 53,760 32,864 3,064 89,688 43% (JLB) 1 4 Jamuna Left Bank 218,324 81,967 47,092 3,804 132,863 61% (JLB) 2 5 Padma Left Bank 144,721 40,967 29,811 3,123 73,901 51% (PLB) 1 6 Padma Left Bank 183,163 31,471 25,803 3,712 60,986 33% (PLB) 2 7 Padma Left Bank 132,133 23,393 23,807 2,340 49,540 37% (PLB) 3 8 Padma Right Bank 153,375 51,558 35,693 2,172 89,423 58% (PRB) 1 9 Padma Right Bank 180,137 54,475 35,587 2,117 92,179 51% (PRB) 2 10 Padma Right Bank 146,039 48,051 38,824 1,997 88,872 61% (PRB) 3 11 Meghna Left Bank 57,543 15,089 12,178 1,741 29,008 50% (MLB) 1 12 Meghna Left Bank 140,190 15,411 26,570 5,487 47,468 34% (MLB) 2 13 Meghna Right Bank 124,381 51,060 42,176 3,506 96,742 78% (MRB) 1 Source: CEGIS, 2012

Figure 3-14: bar graph chart of primary sector employed and upper limit poverty

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Annexure: Detailed Socio-Economic Data

PART A – UPAZILA-WISE TABLS Table 1: Proposed River Reaches - Population distribution by sex and sex ratio, by districts and Upazilas33 River Reach/Political Entity 2011 Population Total Males Females Sex Ratio BANGLADESH 144,043,697 72,109,796 71,933,901 100 I. JAMUNA RIGHT BANK (JRB) 1 1 Sirajganj District, Rajshahi Division. 3,097,489 1,551,368 1,546,121 100 • Belkuchi Upazila-1 352,835 179,738 173,097 104 • Kamarkhanda Upazila-2 138,645 68,411 70,234 97 • Shahjadpur Upazila-3 561,076 283,330 277,746 102 Total Upazilas 1,052,556 531,479 521,077 101 II. JAMUNA RIGHT BANK (JRB) 2 2 Pabna District Rajshahi Division. 2,523,179 1,262,934 1,260,245 100 • Bera Upazila-4 256,793 128,397 128,396 100 • Santhia Upazila-5 380,301 191,225 189,076 101 • Sujanagar Upazila-6 278,096 1,38,559 1,39,537 99 Total Upazilas 915,190 458,181 457,009 100 III. JAMUNA LEFT BANK (JLB) 1 3 Tangail District, Dhaka Division 3,605,083 1,757,370 1,847,713 95 • Delduar Upazila-7 207,278 100,638 106,640 98 • Kalihati Upazila-8 410,293 202,688 207,605 98 • Tangail Sadar Upazila-9 521,104 260,170 260,934 100 Total Upazilas 1,138,675 563,496 575,179 96 IV. JAMUNA LEFT BANK (JLB) 2 4 Manikganj District, Dhaka Division 1,392,867 676,359 716,508 94 • Daulatpur Upazila-10 167,026 80,489 86,537 93 • Ghior Upazila-11 146,292 70,945 75,347 94 • Saturia Upazila-12 171,494 83,653 87,841 95 • Shivalaya Upazila-13 (Shibalaya) 171,873 85,216 86,657 98 Sirajganj District, Rajshahi Division 3,097,489 1,551,368 1,546,121 100 • Chauhali Upazila-14 160,063 80,252 79,811 101 Tangail District, Dhaka Division 3,605,083 1,757,370 1,847,713 95 • Nagarpur Upazila-15 288,092 136,585 151,507 90 Total Upazilas 1,104,840 537,140 567,700 95 V. PADMA LEFT BANK (PLB) 1 Manikganj District, Dhaka Division 1,392,867 676,359 716,508 94 • Harirampur Upazila-16 139,318 65,815 73,503 90 • Manikganj Sadar-17 309,413 149,407 160,006 93 • Singair Upazila-18 287,451 140,834 146,617 96 Total Upazilas 736,182 356,056 380,126 90 VI. PADMA LEFT BANK (PLB) 2 5 Dhaka District, Dhaka Division 12,043,977 6,555,792 5,488,185 119 • Dohar Upazila-19 226,439 107,041 119,398 90 • Nawabganj Upazi-20 318,811 149,298 169,513 88 6 Munshiganj District, Dhaka Division 1,445,660 721,552 724,108 99

33Government of the People’s Republic of Bangladesh.June 2012.Bangladesh Population and Housing Census 2011 Community Reports, Population and Housing Census 2011.Bangladesh Bureau of Statistics, Statistics and Informatics Division, Ministry of Planning, Dhaka.

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River Reach/Political Entity 2011 Population Total Males Females Sex Ratio • Serajdikhan Upazila-21 288,107 143,559 144,548 99 • Sreenagar Upazila-22 259,887 127,374 132,513 96 Total Upazilas 1,093,244 527,272 565,972 90 VII. PADMA LEFT BANK (PLB) 3 Munshiganj District 1,445,660 721,552 724,108 99 • Louhajong Upazila-23 159,242 79,247 79,995 99 • Munshiganj Sadar Upazila-24 383,263 194,508 188,755 103 • Tongibari Upazila-25 197,173 98,120 99,053 99 Total Upazilas 739,678 371,875 367,803 98 VIII. PADMA RIGHT BANK (PRB) 1 7 Rajbari District, Dhaka Division 1,049,778 519,999 529,779 98 • Goalandaghat Upazila-26 (Goalanda) 112,732 54,913 57,819 95 • Pangsha Upazila-27 243,285 121,723 121,562 100 • Rajbari Sadar Upazila-28 331,631 162,483 169,148 96 Total Upazilas 687,648 339,119 348,529 97 IX. PADMA RIGHT BANK (PRB) 2 8 Faridpur District, Dhaka Division 1,912,969 942,245 970,724 97 • Bhanga Upazila-29 259,032 125,324 133,708 94 • Char Bhadrasan Upazila-30 63,477 30,357 33,120 92 • Faridpur Sadar Upazila-31 469,410 235,762 233,648 101 • Sadarpur Upazila-32 186,254 89,664 96,590 93 Total Upazilas 978,173 481,107 497,066 98 X. PADMA RIGHT BANK (PRB) 3 9 Madaripur District, Dhaka Division 1,165,952 574,582 591,370 97 • Shib Char Upazila-33 3,18,220 1,56,508 1,61,712 97 10 Shariatpur District, Dhaka Division 1,155,824 559,075 596,749 94 • Naria Upazila-34 231,644 109,967 121,677 90 • Zanjira Upazila-35 194,019 96,041 97,978 98 Total Upazilas 425,663 206,008 219,655 95 XI. MEGHNA LEFT BANK (MLB) 1 11 Chandpur District, Chittagong Division 2,416,018 1,145,831 1,270,187 90 • Uttar Matlab Upazila-36 292,057 140,753 151,304 93 Total Upazilas 292,057 140,753 151,304 93 XII. MEGHNA LEFT BANK (MLB) 2 11 Chandpur District, Chittagong Division 2,416,018 1,145,831 1,270,187 90 • Chandpur Sadar Upazila-37 4,65,919 2,26,959 2,38,960 95 • Matlab Dakshin-38 210,050 97,728 112,322 87 Total Upazilas 210,050 97,728 112,322 82 XIII. MEGHNA RIGHT BANK (MRB) 1 10 Shariatpur District, Dhaka Division 1,155,824 559,075 596,749 94 • Bhedarganj Upazila-39 253,234 121,494 131,740 92 • Gosairhat-40 157,665 76,076 81,589 93 Total Upazilas 410,899 197,570 213,329 93

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Table 2: Proposed River Reaches– Rural, Urban and Other UrbanHouseholds Distribution and Average Household Size, by Districts and Upazilas, 2011 RIVER REACH/POLITICAL ENTITY RURAL COMBINED URBAN TOTAL URBAN 34 OTHER URBAN35 TOTAL HH AV HH AV HH AV HH AV HH AV BANGLADESH 24,671,590 4.46 6,133,012 4.36 1,369,028 4.42 0 4.39 32,173,630 4.44 JAMUNA RIGHT BANK (JRB) 1 1 Sirajganj District, Rajshahi Div. 615,797 4.31 84,287 4.39 14,887 4.01 99,174 4.2 714,971 4.31  Belkuchi Upazila-1 58,221 4.75 16,229 4.6 0 0 16,229 0 74,450 4.72  Kamarkhanda Upazila-2 29,590 4.34 0 0 2,371 4.16 2,371 4.16 31,961 4.33  Shahjadpur Upazila-3 107,713 4.54 14,226 4.49 1,637 4.19 15,863 4.34 123,576 4.53 Total Upazilas Per Sub Reach 195,524 4.54 30,455 4.54 4,008 4.18 34,463 4.25 229,987 4.53 JAMUNA RIGHT BANK (JRB) 2 2 Pabna District Rajshahi Div. 501,354 4.25 89,395 4.26 0 0 89,395 4.26 5,90,749 4.25  Bera Upazila-4 46,424 4.45 11,012 4.54 0 0 11,012 4.54 57,436 4.47  Santhia Upazila-5 79,713 4.28 9,319 4.15 0 0 9,319 4.15 89,032 4.27  Sujanagar Upazila-6 57,843 4.36 5,833 4.35 0 0 5,833 0 63,676 4.36 Total Upazilas Per Sub Reach 183,980 4.36 26,164 4.35 0 0 26,164 4.35 210,144 4.37 JAMUNA LEFT BANK (JLB) 1 3 Tangail District, Dhaka Div. 742,002 4.11 109,848 4.09 18,252 4.05 231,118 4.07 8,70,102 4.1  Delduar Upazila-7 44,829 4.3 0 0 3,398 4.14 3,398 4.14 48,227 4.29  Kalihati Upazila-8 89,349 4.1 8,731 4.09 622 3.95 9,353 4.02 98,702 4.1  Tangail Sadar Upazila-9 79,315 4.42 37,607 4.22 0 0 37,607 0 116,922 4.36 Total Upazilas Per Sub Reach 213,493 4.27 46,338 4.16 4,020 4.05 50,358 4.08 263,851 16.85 JAMUNA LEFT BANK (JLB) 2 4 Manikganj District, Dhaka Div. 294,870 4.26 22,561 4.27 7,363 4.02 1,013,278 16.31 3,24,794 4.26  Daulatpur Upazila-10 37,045 4.32 0 0 1,741 3.96 1,741 3.96 38,786 4.31  Ghior Upazila-11 33,231 4.19 0 0 1,565 4.2 1,565 4.2 34,796 4.19  Saturia Upazila-12 38,589 4.21 0 0 2,055 4.07 2,055 4.07 40,644 4.2  Shivalaya Upazila-13 (Shibalaya) 39,455 4.2 0 0 1,340 3.9 1,340 3.9 40,795 4.19 Sirajganj District, Rajshahi Div. 615,797 4.31 84,287 4.39 14,887 4.01 99,174 4.2 714,971 4.31  Chauhali Upazila-14 34,329 4.05 0 0 5,503 3.79 5,503 3.79 39,832 4.01 Tangail District, Dhaka Div. 742,002 4.11 109,848 4.09 18,252 4.05 128,100 4.07 870,102 4.1  Nagarpur Upazila-15 63,419 4.33 0 0 3,104 4.21 3,104 4.21 66,523 4.33 Total Upazilas Per Sub Reach 246,068 4.22 0 0 15,308 4.02 15,308 4.02 261,376 4.19 PADMA LEFT BANK (PLB) 1 Manikganj District, Dhaka Div. 294,870 4.26 22,561 4.27 7,363 4.02 29,924 4.15 324,794 4.26  Harirampur Upazila-16 32,947 4.16 0 0 566 3.78 566 3.78 33,513 4.15  Manikganj Sadar-17 54,647 4.3 16,459 4.23 96 4.27 16,555 4.25 71,202 4.28  Singair Upazila-18 58,956 4.36 6,102 4.37 0 0 6,102 4.37 65,058 4.36 Total Upazilas Per Sub Reach 146,550 4.27 22,561 4.3 662 4.03 23,223 4.13 169,773 4.26 PADMA LEFT BANK (PLB) 2 5 Dhaka District, Dhaka Div. 648,886 4.15 1,684,986 4.26 452,261 4.15 2,137,247 4.21 2,786,133 4.21  Dohar Upazila-19 41,344 4.56 8,056 4.54 0 0 8,056 4.54 49,400 4.56  Nawabganj Upazi-20 66,938 4.48 0 0 3,819 4.2 3,819 4.2 70,757 4.47 6 Munshiganj District, Dhaka Div. 272,820 4.56 25,045 4.47 15,393 4.48 40,438 4.48 313,258 4.55  Serajdikhan Upazila-21 58,970 4.75 0 0 903 4.18 903 4.18 59,873 4.74  Sreenagar Upazila-22 53,961 4.49 0 0 3,383 4.17 3,383 4.17 57,344 4.47 Total Upazilas Per Sub Reach 221,213 3.05 8,056 13.27 8,105 4.18 16,161 4.27 237,374 27 PADMA LEFT BANK (PLB) 3 Munshiganj District, Dhaka Div. 272,820 4.56 25,045 4.47 15,393 4.48 40,438 4.15 313,258 4.55  Louhajong Upazila-23 35,297 4.27 0 0 1,257 3.95 1,257 3.95 36,554 4.26  Munshiganj Sadar Upazila-24 52,350 4.66 25,045 4.47 4,665 4.99 29,710 4.73 82,060 4.62  Tongibari Upazila-25 38,700 4.57 0 0 3,733 4.42 3,733 4.42 42,433 4.55 Total Upazilas Per Sub Reach 126,347 4.5 25,045 8.94 9,655 4.45 34,700 4.37 161,047 17.98 PADMA RIGHT BANK (PRB) 1

34Urban Area: It corresponds with area developed around a central place having such amenities as metalled roads, improved communication, electricity, gas, water supply, sewerage, sanitation and also having comparatively higher density of population with majority population in non-agriculture occupations. i) City Corporation: It includes city corporation area declared by the Ministry of Local Government. ii) Paurashava/Municipality Area: It includes paurashavas incorporated and administered by local government under Paurashava Ordinance, 1977. 35 Other Urban Areas includes those upazila headquarters which are not paurashavas. The only exception is the 17 unions adjacent to Dhaka City Corporation under Dhaka Metropolitan Area. These unions are treated as other urban areas on the basis of their urban characteristics.

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RIVER REACH/POLITICAL ENTITY RURAL COMBINED URBAN TOTAL URBAN 34 OTHER URBAN35 TOTAL HH AV HH AV HH AV HH AV HH AV 7 Rajbari District, Dhaka Div. 207,592 4.39 23,382 4.36 7,179 4.45 30,561 4.41 238,153 4.39  Goalandaghat Upazila-26 17,897 4.59 4,156 4.5 2560 4.5 6,716 4.5 24,613 4.57  Pangsha Upazila-27 48,912 4.29 6,569 4.41 855 4.5 7,424 4.46 56,336 4.31  Rajbari Sadar Upazila-28 62,733 4.34 12,657 4.29 520 4.75 13,177 4.52 75,910 4.34 Total Upazilas Per Sub Reach 129,542 4.41 23,382 4.4 3,935 4.58 27,317 4.49 156,859 4.41 PADMA RIGHT BANK (PRB) 2 8 Faridpur District, Dhaka Div. 359,438 4.54 43,461 4.34 17,275 4.35 60,736 4.35 420,174 4.51  Bhanga Upazila-29 46,995 4.51 7,505 4.5 2,664 4.61 10,169 4.56 57,164 4.52  Char Bhadrasan Upazila-30 9,032 4.49 0 0 5,245 4.33 5,245 4.33 14,277 4.43  Faridpur Sadar Upazila-31 75,961 4.52 27,384 4.23 190 4.17 27,574 4.2 103,535 4.45  Sadarpur Upazila-32 38,854 4.58 0 0 1,365 4.25 1,365 4.25 40,219 4.57 Total Upazilas Per Sub Reach 170,842 4.53 34,889 4.37 9,464 4.34 44,353 4.34 215,195 4.49 PADMA RIGHT BANK (PRB) 3 9 Madaripur District, Dhaka Div. 217,360 4.62 28,454 4.47 6,335 4.61 34,789 4.54 252,149 4.61  Shib Char Upazila-33 62,360 4.55 5,527 4.3 1,736 4.59 7,263 4.45 69,623 4.53 10 Shariatpur District, Dhaka Div. 219,280 4.67 25,364 4.54 3,236 4.56 28,600 4.55 247,880 4.66  Naria Upazila-34 44,658 4.66 4,957 4.61 0 0 4,957 4.61 49,615 4.65  Zanjira Upazila-35 37,281 4.63 4,434 4.77 0 0 4,434 4.77 41,715 4.65 Total Upazilas Per Sub Reach 144,299 4.61 14,918 4.56 1,736 4.59 16,654 4.62 160,953 4.61 MEGHNA LEFT BANK (MLB) 1 11 Chandpur District, Chittagong Div. 414,600 4.76 86,059 4.71 5,862 4.6 91,921 4.66 506,521 4.75  Uttar Matlab Upazila-36 55,900 4.58 7,884 4.7 0 0 7,884 4.7 63,784 4.6 Total Upazilas Per Sub Reach 55,900 4.58 7,884 4.7 0 0 7,884 4.7 63,784 4.6 MEGHNA LEFT BANK (MLB) 2 11 Chandpur District, Chittagong Div. 414,600 4.76 86,059 4.71 5,862 4.6 91,921 4.66 506,521 4.75  Chandpur Sadar Upazila-37 62,296 4.69 33,322 4.67 2,491 4.84 35,813 4.66 98,109 4.69  Matlab Dakshin-38 31,887 4.72 13,682 4.34 0 0 13,682 4.34 45,569 4.6 Total Upazilas Per Sub Reach 94,183 4.7 47,004 4.51 2,491 9.44 49,495 4.5 143,678 5.65 MEGHNA RIGHT BANK (MRB) 1 Shariatpur District, Dhaka Div. 219,280 4.67 25,364 4.54 3,236 4.56 28,600 4.55 247,880 4.66  Bhedarganj Upazila-39 51,310 4.77 1,791 4.5 204 5.02 1,995 4.76 53,305 4.76  Gosairhat-40 30,827 4.75 0 0 2342 4.57 2,342 4.57 33,169 4.73 Total Upazilas Per Sub Reach 82,137 4.76 1,791 9.04 2,546 4.8 4,337 4.67 86,474 4.75

Table 4: Sub-Reaches – Percentage of Population Literate, by Gender, 2011 RIVER REACH/POLITICAL ENTITY MALE FEMALE TOTAL BANGLADESH 54.1 49.4 51.8 I. JAMUNA RIGHT BANK (JRB) 1 46.2 40.6 43.4 1 Sirajganj District, Rajshahi Division. 45.1 39.0 42.1 • Belkuchi Upazila-1 48.2 43.1 45.7 • Kamarkhanda Upazila-2 48.9 43.7 46.2 • Shahjadpur Upazila-3 41.6 35.1 38.4 II. JAMUNA RIGHT BANK (JRB) 2 44.4 40.3 42.3 2 Pabna District Rajshahi Division. 47.8 45.6 46.7 • Bera Upazila-4 44.2 38.3 41.2 • Santhia Upazila-5 45.3 42.5 43.9 • Sujanagar Upazila-6 43.8 40.1 41.9 III. JAMUNA LEFT BANK (JLB) 1 52.8 45.7 49.2 3 Tangail District, Dhaka Division 50.0 43.8 46.8 • Delduar Upazila-7 55.0 48.4 51.6 • Kalihati Upazila-8 46.1 39.8 42.9 • Tangail Sadar Upazila-9 57.3 48.8 53.1 IV. JAMUNA LEFT BANK (JLB) 2 49.2 40.8 44.9 4 Manikganj District, Dhaka Division 52.6 46.0 49.2 • Daulatpur Upazila-10 40.4 29.8 34.9 • Ghior Upazila-11 58.4 50.8 54.5 • Saturia Upazila-12 52.1 42.7 47.3

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RIVER REACH/POLITICAL ENTITY MALE FEMALE TOTAL • Shivalaya Upazila-13 (Shibalaya) 57.4 49.2 53.3 Sirajganj District, Rajshahi Division 45.1 39.0 42.1 • Chauhali Upazila-14 40.6 32.5 36.5 Tangail District, Dhaka Division 50.0 43.8 46.8 • Nagarpur Upazila-15 46.3 39.6 42.7 V. PADMA LEFT BANK (PLB) 1 52.3 48.3 50.2 Manikganj District, Dhaka Division 52.6 46.0 49.2 • Harirampur Upazila-16 49.7 47.2 48.4 • Manikganj Sadar-17 58.8 53.4 56.0 • Singair Upazila-18 48.3 44.2 46.2 VI. PADMA LEFT BANK (PLB) 2 56.6 57.1 56.9 5 Dhaka District, Dhaka Division 73.6 66.9 70.5 • Dohar Upazila-19 56.9 58.0 57.5 • Nawabganj Upazi-20 57.7 57.9 57.8 6 Munshiganj District, Dhaka Division 56.4 55.7 56.1 • Serajdikhan Upazila-21 54.9 54.9 54.9 • Sreenagar Upazila-22 56.8 57.7 57.3 VII. PADMA LEFT BANK (PLB) 3 56.3 56.0 56.2 Munshiganj District 56.4 55.7 56.1 • Louhajong Upazila-23 56.1 56.3 56.2 • Munshiganj Sadar Upazila-24 56.1 54.2 55.2 • Tongibari Upazila-25 56.6 57.6 57.1 VIII. PADMA RIGHT BANK (PRB) 1 50.6 47.0 48.8 7 Rajbari District, Dhaka Division 54.0 50.6 52.3 • Goalandaghat Upazila-26 (Goalanda) 42.6 38.2 40.3 • Pangsha Upazila-27 49.6 47.0 48.3 • Rajbari Sadar Upazila-28 59.7 55.8 57.7 IX. PADMA RIGHT BANK (PRB) 2 47.6 45.5 46.6 8 Faridpur District, Dhaka Division 50.3 47.7 49.0 • Bhanga Upazila-29 48.4 45.8 47.0 • Char Bhadrasan Upazila-30 40.2 40.8 40.5 • Faridpur Sadar Upazila-31 58.0 53.7 55.8 • Sadarpur Upazila-32 43.8 42.6 43.2 X. PADMA RIGHT BANK (PRB) 3 47.3 45.8 46.6 9 Madaripur District, Dhaka Division 50.1 45.9 48.0 • Shib Char Upazila-33 44.6 42.4 43.5 10 Shariatpur District, Dhaka Division 48.0 46.6 47.3 • Naria Upazila-34 51.7 51.8 51.8 • Zanjira Upazila-35 45.5 43.3 44.4 XI. MEGHNA LEFT BANK (MLB) 1 55.8 53.1 54.4 11 Chandpur District, Chittagong Division 56.1 57.3 56.8 • Uttar Matlab Upazila-36 55.8 53.1 54.4 XII. MEGHNA LEFT BANK (MLB) 2 56.2 56.6 56.4 11 Chandpur District, Chittagong Division 56.1 57.3 56.8 • Chandpur Sadar Upazila-37 55.4 56.6 56.1 • Matlab Dakshin-38 56.9 56.6 56.7 XIII. MEGHNA RIGHT BANK (MRB) 1 42.5 42.0 42.4 Shariatpur District, Dhaka Division 48.0 46.6 47.3 • Bhedarganj Upazila-39 42.7 42.7 42.7 • Gosairhat-40 43.0 41.3 42.1

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Table 5: Sub-Reaches – Percentage of Population Attending School (5-24 Years), by Gender, 2011 RIVER REACH/POLITICAL ENTITY MALE FEMALE TOTAL BANGLADESH 54.1 49.4 51.8 I. JAMUNA RIGHT BANK (JRB) 1 52.2 47.4 49.7 1 Sirajganj District, Rajshahi Division 53.5 47.6 50.5 • Belkuchi Upazila-1 47.5 45.9 46.7 • Kamarkhanda Upazila-2 60.3 52.3 56.2 • Shahjadpur Upazila-3 48.7 43.9 46.3 II. JAMUNA RIGHT BANK (JRB) 2 53.4 48.0 50.7 2 Pabna District Rajshahi Division 55.7 51.2 53.4 • Bera Upazila-4 50.3 45.6 48.0 • Santhia Upazila-5 55.0 49.3 52.1 • Sujanagar Upazila-6 55.0 49.2 52.1 III. JAMUNA LEFT BANK (JLB) 1 58.6 50.9 54.7 3 Tangail District, Dhaka Division 59.0 51.0 54.9 • Delduar Upazila-7 58.5 51.7 55.0 • Kalihati Upazila-8 56.0 48.5 52.2 • Tangail Sadar Upazila-9 61.4 52.5 57.0 IV. JAMUNA LEFT BANK (JLB) 2 58.9 50.0 54.4 4 Manikganj District, Dhaka Division 59.8 52.0 55.8 • Daulatpur Upazila-10 58.4 47.4 52.8 • Ghior Upazila-11 63.3 53.8 58.4 • Saturia Upazila-12 60.9 51.2 56.0 • Shivalaya Upazila-13 (Shibalaya) 60.1 52.8 56.4 Sirajganj District, Rajshahi Division 53.5 47.6 50.5 • Chauhali Upazila-14 52.6 45.2 48.9 Tangail District, Dhaka Division 59.0 51.0 54.9 • Nagarpur Upazila-15 58.3 49.5 53.7 V. PADMA LEFT BANK (PLB) 1 59.4 72.8 56.1 Manikganj District, Dhaka Division 59.8 52.0 55.8 • Harirampur Upazila-16 60.4 54.2 57.1 • Manikganj Sadar-17 61.1 53.6 57.2 • Singair Upazila-18 56.7 51.2 53.9 VI. PADMA LEFT BANK (PLB) 2 55.6 51.2 53.3 5 Dhaka District, Dhaka Division 49.6 44.8 47.3 • Dohar Upazila-19 55.8 51.8 53.7 • Nawabganj Upazi-20 58.2 50.8 54.3 6 Munshiganj District, Dhaka Division 54.3 51.5 52.9 • Serajdikhan Upazila-21 52.3 50.2 51.2 • Sreenagar Upazila-22 56.2 52.0 54.0 VII. PADMA LEFT BANK (PLB) 3 53.8 51.7 52.8 Munshiganj District 54.3 51.5 52.9 • Louhajong Upazila-23 54.0 51.9 52.9 • Munshiganj Sadar Upazila-24 52.4 50.1 51.3 • Tongibari Upazila-25 55.1 53.1 54.1 VIII. PADMA RIGHT BANK (PRB) 1 57.4 53.6 55.5 7 Rajbari District, Dhaka Division 58.8 55.4 57.1 • Goalandaghat Upazila-26 (Goalanda) 53.2 50.9 52.0 • Pangsha Upazila-27 58.2 53.5 55.8 • Rajbari Sadar Upazila-28 60.9 56.4 58.6 IX. PADMA RIGHT BANK (PRB) 2 54.0 52.4 53.2 8 Faridpur District, Dhaka Division 55.9 53.8 54.8 • Bhanga Upazila-29 51.9 50.9 51.4 • Char Bhadrasan Upazila-30 51.1 50.6 50.8 • Faridpur Sadar Upazila-31 59.2 55.4 57.3

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RIVER REACH/POLITICAL ENTITY MALE FEMALE TOTAL • Sadarpur Upazila-32 53.6 52.6 53.1 X. PADMA RIGHT BANK (PRB) 3 53.6 53.6 53.5 9 Madaripur District, Dhaka Division 56.9 54.2 55.5 • Shib Char Upazila-33 53.9 53.2 53.5 10 Shariatpur District, Dhaka Division 54.7 53.8 54.2 • Naria Upazila-34 53.1 52.2 52.6 • Zanjira Upazila-35 53.7 55.3 54.5 XI. MEGHNA LEFT BANK (MLB) 1 60.0 56.7 58.3 11 Chandpur District, Chittagong Division 58.6 55.2 56.8 • Uttar Matlab Upazila-36 60.0 56.7 58.3 XII. MEGHNA LEFT BANK (MLB) 2 58.7 54.8 56.7 11 Chandpur District, Chittagong Division 58.6 55.2 56.8 • Chandpur Sadar Upazila-37 56.8 54.2 55.5 • Matlab Dakshin-38 60.7 55.3 57.8 XIII. MEGHNA RIGHT BANK (MRB) 1 55.2 53.5 54.3 Shariatpur District, Dhaka Division 54.7 53.8 54.2 • Bhedarganj Upazila-39 54.1 53.4 53.7 • Gosairhat-40 56.3 53.7 54.9

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1 JAMUNA RIGHT BANK (JRB)1.

1.1 Sirajganj is a district in Northern Bangladesh. It is a part of the Rajshahi Division. It is a lush district, which has a long history and a very strong cultural trend. The Jamuna river, which is the longest river in Bangladesh. The people of Sirajganj are used to cope with floods, soil erosion and other natural disasters. The economic growth of Sirajganj radically changed and increased after the building of Bangabandhu Bridge (Jamuna Bridge) over Jamuna river.

Administration/Subdistricts. There are nine Upazilas in Sirajganj district. The three PPTA JRB 1 Upazilas are: (1) Kamarkhanda Upazila, Belkuchi Upazila, and (3) Shahjadpur Upazila, Others are: Sirajganj Sadar Upazila, Chauhali Upazila,, Kazipur Upazila, Raiganj Upazila, Tarash Upazila, and Ullahpara Upazila Geography. Sirajganj District of Rajshahi division with an area of about 2,497.92 km², is bounded by Bogra District on the north, Pabna district on the south, Tangail and Jamalpur districts on the east, Pabna, Natore and Bogra districts on the west. The main rivers are Jamuna, Baral, Ichamati, Karatoya and Phuljuri. About 10 per cent area of the Chalan Beel is located in the Tarash upazila of this district. The annual average temperature reaches a maximum of 34.6 °C, and a minimum of 11.9 °C. The annual rainfall is 1610 mm (63.4 in). Land use. Total cultivable land 179,964.02 hectares, fallow land 15,701.64 hectares, forestry 50.48 hectares; single crop 19.54 per cent, double crop 59.18 per cent and treble crop land 21.28 per cent; cultivable land under irrigation 74.34 per cent. Regarding land control among the peasants, 21.85 per cent are landless, 22.41 per cent marginal landowners, 32.37 per cent small landowners, 17.58 per cent intermediate landowners and 5.79 per cent rich landowners; cultivable land per head is 0.07 hectare. Value of land: The market value of the land of the first grade is approximately Tk. 7,500 per 0.01 hectare.

Main crops.Paddy, Jute, Wheat, Mustard Seed, Sugarcane, Onion, Garlic, Potato, sweet potato, Chilly and Ground Nut. Extinct or nearly extinct crops: indigo, tobacco, local varieties of aus paddy, china, kaun and varieties of dal (pulse). The main fruits are mango, jackfruit, blackberry, papaya, guava, coconut, palm, date, olive, bel, tamarind, banana, watermelon, strawberry (newly harvested in 2009), orange, pineapple, apple and lemon.

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1.2 Belkuchi (Bengali: ে◌বলিকুচ) is an Upazila of Sirajganj Districtin the Division of Rajshahi, Bangladesh. It is famous for handloom cottage industries and Shohagpur Hutt.Geography Belkuchi is located at 24.2917 N 89.7000 E. It has 42,413 households and total area 164.31 km². Demographics As of the 1991 Bangladesh census, Belkuchi has a population of 245,164. Males constitute are 52.49 per cent of the population, and females 47.51 per cent. This Upazila's eighteen up population is 116,311. Belkuchi has an average literacy rate of 33.6 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative: Belkuchi has 6 Unions/Wards, 110 Mauzas/Mahallas, and 132 villages. Whole belkuchi thana is industrial. Most of the people are related to loom industry. References. "Population Census Wing, BBS.".Archived from the original on 2005-03-27.Retrieved November 10, 2006.

1.3 Kamarkhanda (Bengali: কামারখ�) is an Upazila of Sirajganj District in the Division of Rajshahi, Bangladesh. GeographyKamarkhanda is located at WikiMiniAtlas24°22′00″N 89°42′15″E / 24.3667°N 89.7042°E / 24.3667; 89.7042 . It has 19,181 households and total area 91.61 km².Demographics As of the 1991 Bangladesh census, Kamarkhanda has a population of 105,997. Males constitute are 51.81 per cent of the population, and females 48.19 per cent. This Upazila's eighteen up population is 51,649. Kamarkhanda has an average literacy rate of 26.2 per cent (7+ years), and the national average of 32.4 per cent literate.Administrative Kamarkhanda has 4 Unions/Wards, 55 Mauzas/Mahallas, and 92 villages.

1.4 Shahjadpur (Bengali: শাহজাদপুর) is an Upazila of Sirajganj District in the Division of Rajshahi, Bangladesh.Makhdum Shah Daulah Shahid was a Fourteenth Century Muslim saint recognized for his preaching of Islam in northern India. He was martyred at Shahjadpur in Sirajganj District, Rajshahi District in what is now northwestern Bangladesh. Makhdum Shah was the second son of Muaz bin Jabal, a king of Yemen. Together with some twenty companions, he traveled east by the land route through Bukhara and into India preaching Islam. Eventually they settled in Shahzadpur, at the time part of a Hindu kingdom. The king was displeased with the disruption caused by Makhdum Shah and his followers and ordered them expelled from his kingdom. Makhdum Shah refused to comply and he and

Page 54 September 2013 B2 Socio-economic data nearly all of his followers were killed. Makhdum Shah is buried beside the old Shahi mosque at Shahjadpur in Sirajganj District.

Demographics As of the 1991 Bangladesh census, Shahzadpur has a population of 420,452. It has 70,998 households and a total area of 324.47 km². Males constitute are 52.05 per cent of the population, and females 47.95 per cent. This Upazila's eighteen up population is 197052. Shahzadpur has an average literacy rate of 24.8 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Shahzadpur thana was established in 1845 and was turned into an upazila in 1982. Shahzadpur Upazila has 16 Unions/ Wards, 226 Mouzas/Mahallas, and 279 villages. Shahzadpur is also a municipal town, consisting of 9 wards and 31 mahallas. The area of the town is 19.52 km2. The town has a population of 65,897; male 51.95 per cent and female 48.05 per cent. The density of population is 3,376 per km2. Literacy rate among the town people is 34.5 per cent. The town has one dakbungalow. Places of interest Shahzadpur is emotionally connected with the fond memory of the Nobel-lauriete Poet Rabindranath Tagore, who used to stay here in connection with administration of his father's zamindary. He wrote a lot of verses while living here. His Kuthibari (revenue office) is still there like the other place, Shilaidaha in Kushtia district.

2 JAMUNA RIGHT BANK (JRB)

2.2 Pabna District (Bengali: পাবনা েজলা Paabna Jela) is a district in north-western Bangladesh. It is the southern most district of Rajshahi Division. Its administrative capital is eponymous Pabna town.Geography Pabna forms the south-east boundary of Rajshahi Division. Sirajganj District is on the north-east, while the Padma River, main stream of the holy river Ganges, in the south separates it from Rajbari District and Kushtia District. The Jamuna River runs along its eastern border separating it from Manikgonj District; and on the north-west it has a common boundary with the Natore District. Average maximum temperature 33.9°C, minimum 9.6°C; annual rainfall 1872 mm. Characteristically the soil of the district is divided into four, viz flood plains of the Ganges, Karatoya, Jamuna and Barind Tract. Main rivers are Ganges, Ichamati, Gumani, Baral and Hurasagar. Rivers The district is intersected by rivers of varying magnitude. But in fact, the river system is constituted by the Padma and the Jamuna with their interlacing offshoots and tribataties. Besides these flowing streams, the interior is visited by the abandoned beds of old rivers, most of which are dry except in the rains. The general trend of the drainage of the Serajganj subdivision is from north-west to south-east, the rivers entering it from the north-west flow into the Jamuna after a tortuous course. In the Sadar subdivision,

Page 55 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program however, the general slope of the country is from west to east, and the main rivers fall into Hurasagar, an offshoot of the Jamuna. The Rivers are Follows in Pabna District :1. Padma River 2.Ichhamati River 3.Baral River 4.Atrai River 5.Chiknai River 6.Jamuna River 7.Kazipur River 8. Karatoya River

2.2 Bera (Bengali: েবড়া) is an Upazila of Pabna District in the Division of Rajshahi, Bangladesh.Geography Bera is located at WikiMiniAtlas 24°04′00″N 89°37′30″E / 24.0667°N 89.6250°E / 24.0667; 89.6250 . It has 35,351 households and total area 248.6 km².It is Known as 2nd Adamjee because there is big market for jute and different types of Jute Buildings are available here. It has also many milk Processing Factory. Bera has some small forests where there live some wild animals like foxes, mongooses, different types of wild cats etc. But these forests and animals are going to be vanished because of killing animals and trees. The People of Bera are so much friendly that you can win their heart easily. They love to care the guest. They maintain their lives simply.

Demographics: As of the 1991 Bangladesh census, Bera has a population of 208,897. Males constitute are 52.11 per cent of the population, and females 47.89 per cent. This Upazila's eighteen up population is 100,253. Bera has an average literacy rate of 24.1 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative: Bera has 10 Unions/Wards, 189 Mauzas/Mahallas, and 157 villages.

2.3 Santhia (Bengali: সাঁিথয়া) is an Upazila of Pabna District in the Division of Rajshahi, Bangladesh.Geography Santhia is located at WikiMiniAtlas 24°03′30″N 89°32′00″E / 24.0583°N 89.5333°E / 24.0583; 89.5333 . It has 46,745 households and total area 331.56 km². Santhia has soem forest-like areas where there are wild animals like foxes, mongooses, wild cats etc. But these woods and animals are on the verge of extinction because of hunting and slash and burn. Demographics As of the 1991 Bangladesh census, Santhia has a population of 283,463. Males constitute are 52.2 per cent of the population, and females 47.8 per cent. This Upazila's eighteen up population is 135,476. Santhia has an average literacy rate of 23 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Santhia has 11 Unions/Wards, 178 Mauzas/Mahallas, and 253 villages.

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2.4 Sujanagar (Bengali: সুজানগর) is an Upazila of Pabna District in the Division of Rajshahi, Bangladesh. Upazila is the home of agriculture across the district. Kashinathpur bazar and Nagarbari is the famous place in sujanagar which is basically commercial capital of the Upazila.

Geography Sujanagar is located at WikiMiniAtlas 23°55′00″N 89°26′00″E / 23.9167°N 89.4333°E / 23.9167; 89.4333. It has 36,136 households and total area 334.4 km². Tofazzol hossen Tofa, is the Prominent Awamilig Leader in sujanagor.present mayer Demographics As of the 1991 Bangladesh census, Sujanagar has a population of 214,132. Males constitute are 51.86 per cent of the population, and females 48.14 per cent. Upazila's population over the age of eighteen is 102,202. Sujanagar has an average literacy rate of 26.7 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Sujanagar has 10 Unions/Wards, 197 Mauzas/Mahallas, and 195 villages. Notable people

Many famous people were born in the upazila, such as Chanchal Choudhury (actor) Mirza Azizul Islam (former Adviser to the Ministry of Finance, Caretaker government Sardar Zainul Islam (poet).

3 JAMUNA LEFT BANK (JLB)

3.1 Tangail (Bengali: টা�াইল েজলা) is a district (zilla) in central region of Bangladesh. It is a part of the Dhaka division. The population of Tangail zilla is about 3.2 million and its surface area is 3,414.39 km².[1] The main town of Tangail District is the district town Tangail. It is surrounded by the several districts, such as Jamalpur district on the north, the Dhaka and Manikganj districts on the south, the Mymensingh and Gazipur districts on the east, and the Sirajganj district on the west. The main rivers that cross the Tangail district are the Jamuna, Dhaleshwari, Jhenai, Bangshi, Louhajang, Langulia, Elongjani, Jugni, Fotikjani and the Turag. Administrative The subdivision of Tangail was established in 1870. It was turned into a district on December 1, 1969.[2] The district consists of 10 municipalities, 72 wards of these municipalities, 103 Union Porishods and 2,431 villages. Tangail district is subdivided into 12 Upazilas. The three PPTA JLB 1 Upazilas are: (1) Kalihati Upazila, (2) Tangail Sadar Upazila, and (3) Nagarpur Upazila. The others are:

Page 57 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Sakhipur Upazila, Basail Upazila, Madhupur Upazila, Ghatail Upazila. Mirzapur Upazila, Gopalpur Upazila, Delduar Upazila, Bhuapur Upazila, Dhonbari Upazila,

The newly formed Tangail district is flanked on the west by the mighty river Jamuna, which is no where less than 4 miles wide during the rainy season. The Dhaleswari, first an old channel of the Ganges and then of the Brahmaputra, cuts across the south-western comer of the district on its powerful sweep to join the Meghna near Narayanganj. The old, name of Dhaleswari was "Gajghata". It used to flow afterwards by the Salimabad Channel and then at last by Porabari Channell. A part of the eastern boundary of the district runs close to the Banar river. The river Bangshi flows almost down the middle of the district, branching out from the old Brahmaputta to the north from near Jamalpur. Bangshi falls into Dhaleswari near Savar, in Dhaka district. The Bangshi forms a natural barrier to the Madhupur Jungle on the Tangail side, all the way from Madhupur to Mirzapur. It is only fordable at two or three places near Basail on its my to river Meghna. Dhaleswari itself however takes out from the Jamuna from inside Tangail district.

3.2 Delduar (Bengali: েদলদুয়ার) is an Upazila of Tangail District in the Division of Dhaka, Bangladesh.GeographyDelduar is located at WikiMiniAtlas 24°08′30″N 89°58′00″E / 24.1417°N 89.9667°E / 24.1417; 89.9667 . It has 32696 units of house hold and total area 184.54 km². Delduar is a nice upazila. In this upazila delduar there are 8 unions. They are 1. Sadar union 2. Lauhati Union 3. Dubail Union 4. Pathrail Union 5. - 6. - 7. - 8. - Demographics. As of the 1991 Bangladesh census, Delduar has a population of 175,684. Males constitute are 50.46 per cent of the population, and females 49.54 per cent. This Upazila's eighteen up population is 91,765. Delduar has an average literacy rate of 34 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative. Delduar has 8 Unions/Wards, 130 Mauzas/Mahallas, and 166 villages.

3.3 Kalihati (Bengali: কািলহািত) is an Upazila of Tangail District in the Division of Dhaka, Bangladesh.Geography: Kalihati is located at WikiMiniAtlas 24°23′00″N 90°00′30″E / 24.3833°N 90.0083°E / 24.3833; 90.0083 . It has 65,035 households and

Page 58 September 2013 B2 Socio-economic data total area 301.22 km².

Demographics: As of the 1991 Bangladesh census, Kalihati has a population of 354,959. Males constitute are 51.55 per cent of the population, and females 48.45 per cent. This Upazila's eighteen up population is 177,023. Kalihati has an average literacy rate of 27.5 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative The Kalihati thana was established in 1928 and was turned into an upazila in 1983. The upazila consists of one municipality, 14 union parishads, 267 mouzas, 314 villages. History It has a historical background during the liberation war in 1971. A great child of this land named "Kader Siddiki" who later gained the great title "Bir Uttom" for his contribution for the war. After the liberation war he gave 32 trucks of weapons to the government. In the liberation period he formed a group named "Kadera Bahini" with the brave Bangalees. The "Kadera Bahini" was very ferocious against the Pakistanis.

3.4 Tangail Sadar (Bengali: টা�াইল সদর) is an Upazila of Tangail District in the Division of Dhaka, Bangladesh. Geography Tangail Sadar is located at WikiMiniAtlas 24°15′00″N 89°55′00″E / 24.2500°N 89.9167°E / 24.2500; 89.9167 . It has 69,783 households and total area 334.26 km².

Demographics As of the 1991 Bangladesh census, Tangail Sadar has a population of 380,518. Males constitute are 51.05 per cent of the population, and females 48.95 per cent. This Upazila's eighteen up population is 196,849. Tangail Sadar has an average literacy rate of 36.4 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative

Tangail Sadar has 16 Unions/Wards, 353 Mauzas/Mahallas, and 277 villages. Thanapara and Boali are the famous Mahalla in Tangail Sadar.

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4 Jamuna Left Bank (JLB-2) 4.1 Manikganj (Bengali: মািনকগ� [mɑnɪkˈɡəndʒ]) is a district in central Bangladesh. It is a part of the Dhaka Division. Geography Manikganj is a district in Dhaka Division. It comprises an area of 1,378.99 km2 (532.43 sq mi), bounded by Tangail District on the north, Dhaka District on the east, Faridpur and Dhaka districts on the south, the Padma, Jamuna and the districts of Pabna and Rajbari on the west. Annual temperature is a maximum up to 36°C and minimum to 12.7°C and the annual rainfall is 2,376 mm (93.5 in). Main rivers are the Padma, Jamuna, Dhaleshwari, Ichamati and Kaliganga. An extensive area of the district especially riverine area of the upazilas of Harirampur, Shivalaya and Daulatpur becomes victim to riverbank erosion every year. Subdivisions Sand Collectors at work in Aricha Ghat, Manikgonj. Manikganj (Town) consists of 9 wards and 49 mahallas. The area of the town is 20.59 km². Administration Manikganj subdivision was established in 1845 and was turned into a district in 1984. It consists of 1 municipality, 7 upazilas, 65 union parishads, 1357 mouzas, 9 wards, 49 mahallas and 1647 villages. The two PPTA JLB 2 Upazilas are: Daulatpur Upazila and Shivalaya Upazila. Others are Manikganj Sadar Upazila, Singair Upazila,, Saturia Upazila, Harirampur Upazila, Ghior Upazila and History Manikganj was formerly a subdivision of Dhaka District. It was turned into a district in 1984.

On the April 26, 1989 Manikganj was the site of, what was at the time, the world's worst tornado in terms of loss-of-life. 1,300 people were initially reported as having been killed with 12,000 injured. The towns of Saturia and Manikganj Sadar were leveled and about 80,000 people were made homeless.

4.2 Daulatpur (Bengali: েদৗলতপুর) is an Upazila of Manikganj District in the Division of Dhaka, Bangladesh.Geography: Daulatpur is located at WikiMiniAtlas 23°57′40″N 89°50′30″E / 23.9611°N 89.8417°E / 23.9611; 89.8417 . It has 26,720 households and total area 216.24 km².

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Demographics: As of 1991, Bangladesh census, Daulatpur has a population of 138,606. Males constitute are 49.62 per cent of the population, and females 50.38 per cent. This Upazila's eighteen up population is 69,586. Daulatpur has an average literacy rate of 20 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Daulatpur has 8 Unions/Wards, 172 Mauzas/Mahallas, and 170 villages.

4.3 Ghior (Bengali: িঘওর) is an Upazila of Manikganj District in the Division of Dhaka, Bangladesh.GeographyGhior is located at WikiMiniAtlas 23°53′15″N 89°50′15″E / 23.8875°N 89.8375°E / 23.8875; 89.8375 . It has 24413 units of house hold and total area 145.95 km².Demographics. As of the 1991 Bangladesh census, Ghior has a population of 127521. Males constitute are 50.16 per cent of the population, and females 49.84 per cent. This Upazila's eighteen up population is 68107. Ghior has an average literacy rate of 31.2 per cent (7+ years), and the national average of 32.4 per cent literate.[1]

Administrative. Ghior has 7 Unions/Wards, 170 Mauzas/Mahallas, and 183 villages.

4.4 Saturia (Bengali: সাটুিরয়া) is an Upazila of Manikganj District in the Division of Dhaka, Bangladesh.Geography. Saturia is located at WikiMiniAtlas23°35′33″N 90°01′23″E / 23.5925°N 90.0231°E / 23.5925; 90.0231 . It has 27174 units of house hold and total area 140.12 km².

Demographics. As of the 1991 Bangladesh census, Saturia has a population of 140,215. Males constitute are 49.84 per cent of the population, and females 50.16 per cent. This Upazila's eighteen up population is 73,439. Saturia has an average literacy rate of 22 per cent (7+ years), and the

Page 61 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program national average of 32.4 per cent literate. Administrative. Saturia has 9 Unions/Wards, 165 Mauzas/Mahallas, and 215 villages. The Upazila Parishad Office is at The Village name Baliati.

4.5 Shivalaya (Bengali: িশবালয়, Shibaloy, meaning "Home of Lord Shiva") is an Upazila of Manikganj District in the Division of Dhaka, Bangladesh. Geography Shivalaya is located at WikiMiniAtlas 23°50′00″N 89°47′30″E / 23.8333°N 89.7917°E / 23.8333; 89.7917 . It has 26,334 households and total area 199.07 km².

Demographics: As of the 1991 Bangladesh census, Shivalaya has a population of 143,842. Males constitute are 52.42 per cent of the population, and females 47.58 per cent. This Upazila's eighteen up population is 75,930. Shivalaya has an average literacy rate of 29.1 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Shivalaya has 7 Unions/Wards, 205 Mauzas/Mahallas, and 236 villages.

4.6 Chauhali (Bengali: েচৗহািল) is an Upazila of Sirajganj District in the Division of Rajshahi, Bangladesh.Geography: Chauhali is located at 24°12′40″N 89°43′15″E / 24.2111°N 89.7208°E / 24.2111; 89.7208 . It has 19899 units of house hold and total area 243.67 km².

Demographics: As of the 1991 Bangladesh census, Chauhali had a population of 108459. Males constitute are 51.37 per cent of the population, and females 48.63 per cent. This upazila's eighteen and up population is 52185. Chauhali has an average literacy rate of 23.1 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative. Chauhali has five unions/wards, 153 mauzas/mahallas, and 101 villages.

4.7 Nagarpur (Bengali: নাগরপুর) is an Upazila of Tangail District in the Division of Dhaka, Bangladesh.Geography Nagarpur is located at WikiMiniAtlas 24°03′00″N 89°52′30″E / 24.0500°N

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89.8750°E / 24.0500; 89.8750 . It has 44,858 households and total area 262.7 km². Nagarpur (Town) has an area of 4.68 sq km. The town has a population of 10,043; male 51.25 per cent, female 48.75 per cent; density of population is 2,146 per sq km.

Demographics As of the 1991 Bangladesh census, Nagarpur has a population of 238,422. Males constitute are 49.47 per cent of the population, and females 50.53 per cent. This Upazila's eighteen up population is 121,735. Nagarpur has an average literacy rate of 27.4 per cent (7+ years), and the national average of 32.4 per cent literate.Administrative Nagarpur has 11 Unions/Wards, 212 Mauzas/Mahallas, and 250 villages.

5 Padma Left Bank (PLB) 1

5.1 Harirampur (Bengali: হিররামপুর) is an Upazila of Manikganj District in the Division of Dhaka, Bangladesh.

Geography: Harirampur is located at WikiMiniAtlas 23°44′00″N 89°58′00″E / 23.7333°N 89.9667°E / 23.7333; 89.9667 . It has 30,136 households and total area 245.42 km². Demographics As of the 1991 Bangladesh census, Harirampur has a population of 156,326. Males constitute are 49.6 per cent of the population, and females 50.4 per cent. This Upazila's eighteen up population is 80,752. Harirampur has an average literacy rate of 30.2 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative

Harirampur has 13 Unions/Wards, 210 Mauzas/Mahallas, and 253 villages.

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5.2 Manikgonj Sadar (Bengali: মািনকগ� সদর) is an Upazila of Manikgonj District in the division of Dhaka, Bangladesh.Geography. Manikgonj Sadar is located at WikiMiniAtlas 23°51′00″N 90°00′40″E / 23.8500°N 90.0111°E / 23.8500; 90.0111. It has 45–991 households and total area 214.81 km². Demographics. As of the 1991 Bangladesh census, Manikgonj Sadar has a population of 237,771. Males constitute are 50.23 per cent of the population, and females 49.77 per cent. Upazila's eighteen-up population is 126,976. Manikgonj Sadar has an average literacy rate of 33.4 per cent (7+ years), and the national average of 32.4 per cent literate.[1]

Administrative: Manikgonj Sadar has 13 Unions/Wards, 340 Mauzas/Mahallas, and 308 villages

5.3 Singair (Bengali: িস�াইর) is an Upazila of Manikgonj District in the Division of Dhaka, Bangladesh. Geography Singair is located at WikiMiniAtlas 23°49′00″N 90°09′00″E / 23.8167°N 90.1500°E / 23.8167; 90.1500 . It has 44151 units of house hold and total area 217.38 km². Demographics. As of the 1991 Bangladesh census, Singair has a population of 231628. Males constitute are 50.47 per cent of the population, and females 49.53 per cent. This Upazila's eighteen up population is 117789. Singair has an average literacy rate of 21.1 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative. Singair has 1 Municipal/11 Unions/Wards, 141 Mauzas/Mahallas, and 236 villages.

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6 Padma Left Bank (PLB) 2

6.1 Dhaka District (Bengali: ঢাকা েজলা, Ḑhaka Jela) is a district located in central Bangladesh, and is the densest district in the nation. It is a part of the Dhaka Division. Dhaka, the capital of Bangladesh, rests on the eastern banks of the Buriganga River which flows from the Turag to the south of the district. While Dhaka (city) occupies only about a fifth of the area of Dhaka district, it is the economic, political and cultural centre of the district and the country as a whole. Geography Dhaka District shares borders with Gazipur and Tangail to the north, Munshiganj and Rajbari to the south, Narayanganj to the east and Manikganj to the west. Main rivers flowing through this district are Padma, Kaliganga, Dhaleshwari, Ichamati, Shitalakshya, Buriganga and numerous smaller rivers including Bangshi, Turag, Balu, Elamjani, Alam, Bherujkha, Ramkrishnadi, Elisamari, Tulsikhali. Major lakes ("beels") include Belai, Saldaher, Labandaher, Churain, Damsharan and Kiranjir Beel. Annual average temperature of the district is maximum 34.5°C, minimum 11.5°C; average annual rainfall 1931mm.[1] The population of the division reached 11,875,000 people as of Census 2011 preliminary figures, as with all past Censuses, numbers will be revised higher once more data comes in.

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6.2 Dohar (Bengali: েদাহার) is an Upazila of Dhaka District in the Division of Dhaka, Bangladesh. The Upazilla is situated in the southern most part of Dhaka District. The mighty river of Padma borders the southern part of the upazilla. GeographyDohar is located at WikiMiniAtlas

23°35′45″N 90°07′20″E / 23.5958°N 90.1222°E / 23.5958; 90.1222. It has 31,645 households and a total area of 161.49 km². One of the largest rivers of Bangladesh, the Padma, is situated in the southern and south-western part of Dohar. This Upazila is bordered by Nawabganj, Sri Nagar and a small part of Sirajdikhan which is an Upazila of the district Munshiganj (formerly known as Bikrampur).

Demographics: As of the 1991 Bangladesh census, Dohar had a population of 175,842. Males constituted 49.41 per cent of the population and females 50.59 per cent. This Upazila's eighteen-up population was 86,196. Dohar had an average literacy rate of 32.9 per cent (7+ years) compared with the national average of 32.4 per cent literacy. The rate of literacy is increasing nowadays.[1] A large number of people of this area live abroad in pursuit of earning a living. Most of them stay in the Middle East and European countries, but recently they are also going to Australia and Japan. The history of Dohar is old in British period. The British government forced to cultivate Nil but the farmers refused and went on strike the moment Mahatma Gandhi came.Administrative Dohar has 8 Unions and 1 porosova, 93 Mauzas/Mahallas, and 139 villages. The names of the Unions are as follows: Nayabari, Kushumhati, Raypara, Char Mohammadpur,, Sutarpara, Narisha, Mokshedpur, Bilaspur . The name of porosova is Dohar. The largest village in the Bilaspur Union is Debinagar. Chotogolla is another village.

6.3 Nawabganj (Bengali: নবাবগ�) is an Upazila of Dhaka District in the Division of Dhaka, Bangladesh. Geography. Nawabganj is located at WikiMiniAtlas 23°40′00″N 90°10′00″E / 23.6667°N 90.1667°E / 23.6667; 90.1667. It has 47,411 units of house hold and total area 244.81 km².Demographics. As of the 1991 Bangladesh census, Nawabganj had a population of 269,189. Males constituted

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49.31 per cent of the population, and females 50.69 per cent. This Upazila's eighteen-up population was 134,813. Nawabganj had an average literacy rate of 34.5 per cent (7+ years), and the national average of 32.4 per cent literate.

Area • Total 244.81 km2 (94.52 sq mi) Population (1991) • Total 269,189 • Density 1,100/km2 (3,000/sq mi) Administrative. Nawabganj has 14 Unions/Wards, 192 Mauzas/Mahallas, and 305 villages.

6.4 Serajdikhan (Bengali: িসরাজিদখান) is an Upazila of Munshiganj District in the Division of Dhaka, Bangladesh.Geography: Sirajdikhan is located at WikiMiniAtlas23°34′00″N 90°23′00″E / 23.5667°N 90.3833°E / 23.5667; 90.3833 . It has 38394 units of house hold and total area 180.19 km². union:Sekhernagar,villaige: gopal purDemographics. As of the 1991 Bangladesh census, Sirajdikhan has a population of 229,085. Males constitute are 51.02 per cent of the population, and females 48.98 per cent. This Upazila's eighteen up population is 108,535. Sirajdikhan has an average literacy rate of 33.9 per cent (7+ years), and the national average of 32.4 per cent literate.

Area • Total 180.19 km2 (69.57 sq mi) Population (1991) • Total 229,085

• Density 1,271/km2 (3,290/sq mi) Administrative. Sirajdikhan has 14 Unions/Wards, 124 Mauzas/Mahallas, and 177 villages

6.5 Sreenagar (Bengali: �নগর) is an Upazila of Munshiganj District in the Division of Dhaka, Bangladesh.

Geography: Sreenagar is located at WikiMiniAtlas

23°32′10″N 90°17′30″E / 23.5361°N 90.2917°E / 23.5361; 90.2917 . It has 36,344 households and total area 202.98 km².

Demographics: As of the 1991 Bangladesh census, Sreenagar has a population of 205,797. Males constitute are 49.88 per cent of the population,

Page 67 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program and females 50.12 per cent. This Upazila's eighteen up population is 99,514. Sreenagar has an average literacy rate of 39.1 per cent (7+ years), and the national average of 32.4 per cent literate.

Administrative: Sreenagar has 14 Unions/Wards, 102 Mauzas/Mahallas, and 147 villages.

7 Padma Left Bank (PLB) 3

7.1 Munshiganj (Bengali: মু�ীগ�) also historically known as Bikrampur is a district[1] in central Bangladesh. It is a part of the Dhaka Division and borders Dhaka District.

Geography: Total land area is 235974 acres (954 km²), out of which 138472 acres (560 km²) are cultivable and 5609 acres (23 km²) are fallow land. It has no forest area. 40277 acres (163 km²) of land is irrigated while 26242 acres (106 km²) of land is under river. It has 14 rivers of 155 km passing through.[2]

SubdivisionsThe four PPTA PNB 3 Upazilas are: Sreenagar Upazila, Lohajang Upazila, Tongibari Upazila, Munshiganj Sadar Upazila. The others are: Gazaria Upazila, Sirajdikhan Upazila,

Economy Munshiganj is one of the largest producer of potato in Bangladesh. It produces significant amount of jute, rice, wheat and other vegetables. It also produces sugar cane and banana.

HistoryBikrampur (Munshiganj) was the political and cultural centre of ancient Bengal. It was officially known as Bikrampur until 1986 and was part of Dhaka District. The remains of the city of Bikrampur, the capital of the ancient kingdoms of southeastern Bengal, are lost and its location can only be guessed on the basis of available data. Bangla, Old HistoryIt was the capital city of the Candra, Varman and Sena dynasties, from the beginning of the 10th century AD to the beginning of the 13th century AD. The name of Bikramapur survived in the name of a pargana in the Mughal period. Today the name does not exist even officially; but the inhabitants of a vast tract of land in the Munshigonj district still feel pride in saying that they belong to Bikramapur, which, of course, emanates from the past glory of the area. Also, within the confines of Munshigonj, the colonial era mansion of Badrul Islam, the renowned Kombal merchant, is located. Today it is a sacred site for Tibetan Buddhists.

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7.2 Louhajong (Bengali: েলৗহজং [meaning rusting of iron]) is an Upazila of Munshiganj District in the Division of Dhaka, Bangladesh. Geography: Louhajong is located at WikiMiniAtlas23°28′00″N 90°20′30″E / 23.4667°N 90.3417°E / 23.4667; 90.3417 . It has 26,570 households and total area 130.12 km².

Demographics: As of the 1991 Bangladesh census, Louhajong has a population of 153,433. Males constitute 50.07 per cent of the population, and females 49.93 per cent. This Upazila's eighteen up population is 72,930. Lohajang has an average literacy rate of 37.1 per cent (7+ years), and the national average of 32.4 per cent literate.

Administrative Louhajong has 12 Unions/Wards, 118 Mauzas/Mahallas, and 133 villages.

7.3 Munshiganj Sadar (Bengali: মুি�গ� সদর) is an Upazila of Munshiganj District in the Division of Dhaka, Bangladesh.Geography: Munshiganj Sadar is located at WikiMiniAtlas 23°27′30″N 90°32′30″E / 23.4583°N 90.5417°E / 23.4583; 90.5417 . It has 50,609 households and total area 160.79 km².Munshiganj (Town) consists of 9 wards and 42 mahallas.The area of the town is 14.17 km2. The population of the town is 52,071; male 51.62 per cent and female 48.38 per cent; density of population is 3,674 per km2. Literacy rate among the town people is 49.3 per cent. The town has two dakbungalows. The old & famous high school name is Munshigonj Multiletaral High school. Demographics: As of the 1991 Bangladesh census, Munshiganj district, formerly a subdivision under Dhaka district, was established in 1984. It consists of 6 upazilas, 67 union parishads, 662 mouzas, 906 villages, 18 wards, 73 mahallas and 2 municipalities. The upazilas are gazaria, tongibari, serajdikhan, lohajang, sreenagar and munshiganj sadar. Munshiganj is

Page 69 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program one of famous district in Bangladesh and it has great reputation.[1]

Administrative Munshiganj Sadar has 12 Unions/Wards, 129 Mauzas/Mahallas, and 219 villages. There has a hospita named Munshigonj Sadar Hospital of 200 beds. There is a very famous and historic college named Haragonga College Munshiganj is also called as Bikrampur. Archaeological heritage Idrakpur Fort (1660) at Munshigonj town, Panditer Bhita (birthplace of Atis Dipankar ) at Vajrayogini, Baba Adam’s Mosque at Rampal, home stead of Raja Vallala Sena, Rampal Dighi, Raja Harish Chandra’s Dighi, Kodal Dhoar Dighi, home stead of Raja Sreenath, marble statue of Ashutosh Ganguly at the library room of Haraganga College.

7.4 Tongibari (Bengali: টি�বাড়ী) is an Upazila of Munshiganj District in the Division of Dhaka, Bangladesh. Geography: Tongibari is located at WikiMiniAtlas 23°30′00″N 90°27′30″E / 23.5000°N 90.4583°E / 23.5000; 90.4583 . It has 31346 households and total area 149.96 km².

Demographics: As of the 1991 Bangladesh census, Tongibari has a population of 176,881. Males constitute are 52.46 per cent of the population, and females 47.54 per cent. This Upazila's eighteen up population is 83593. Tongibari has an average literacy rate of 35.6 per cent (7+ years), and the national average of 32.4 per cent literate.

Administrative: Tongibari has 12 Unions/Wards, 113 Mauzas/Mahallas, and 160 villages.

8 Padma Right Bank (PRB) 1

8.1 Rajbari is a district in central Bangladesh. It is a part of the Dhaka Division. It was named by the renowned ruler Raja Surjoprashad Sen. He established his palace or rajbari in this district. It was a part of Faridpur district before. Later on, it was separated from Faridpur and rose as Rajbari. Upazilas There are 5 upazilas in this district. The three PPTA PSB 1 Upazilas are: Pangsha Upazila , Rajbari Sadar Upazila, and Goalanda Upazila. Others are Baliakandi Upazila, Kalukhali Upazila,

History: Rajbari is a district of

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Bangladesh. It is under Dhaka division. Rajbari was named by the renowned ruler Raja Shurjoprashad Sen. It was a part of Faridpur District before. Later on, it was separated from Faridpur and rose as Rajbari. It has produced famous personalities such as Maulvi Tamizuddin Khan, the speaker of Pakistan's Constituent Assembly, Yakub Ali Chowdhury, eminent Bangladeshi cartoonist Rokonuzaman Khan Dadabhai, scientist Kazi Motahar Hossain and Oscar winner Nafees Bin Zafar. The famous writer Mir Mosharraf Hossain lived at Podamdi, near Village of Kurshi in Baliakandi upzilla. Podamdi and Kurshi are Hindi: नवाब) was originally the ,ﻧﻮﺍﺏ :also a remarkable place for Nawaabs (A Nawab or Nawaab (Urdu subedar (provincial governor) or viceroy of a subah (province) or region o.f the Mughal empire. It became a high title for Muslim nobles). Rajbari is a district of natural beauty. The people of Rajbari are very friendly, religious, decent, honest and well educated.Famous dighi(a kind of water body) 'Kallyan Dighi'situated in baliakandi of Islampur union. Rajbari is situated by the bank of Padma River. Religion Religion in Rajbari District Religion Percent Islam 82 per cent, Hinduism 17.6 per cent Christianity 0.4 per cent other religions 0 per cent The district of Rajbari consists 596 mosques, 270 temples and 2 churches.

8.2 Goalandaghat (Bengali: েগায়াল�ঘাট) is an Upazila of Rajbari District in the Division of Dhaka, Bangladesh.Geography: Goalandaghat is located at WikiMiniAtlas 23°44′00″N 89°45′40″E / 23.7333°N 89.7611°E / 23.7333; 89.7611 . It has 15,694 households and total area 149.03 km².

Demographics: As of the 1991 Bangladesh census, Goalandaghat has a population of 91,675. Males constitute are 52.1 per cent of the population, and females 47.9 per cent. This Upazila's eighteen up population is 44,854. Goalandaghat has an average literacy rate of 20.5 per cent (7+ years), and the national average of 32.4 per cent literate.[1]

Administrative: Goalandaghat has 4 Unions/Wards, 113 Mauzas/Mahallas, and 206 villages.

8.3 Pangsha (Bengali: পাংশা) is an Upazila of Rajbari District in the Division of Dhaka, Bangladesh. Geography: Pangsha is located at WikiMiniAtlas 23°47′30″N 89°25′00″E / 23.7917°N 89.4167°E / 23.7917; 89.4167 . It has 54,424 householdS and total area 414.24 km².

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Demographics: As of 1991, Bangladesh census, Pangsha has a population of 316,752. Males constitute are 51.78 per cent of the population, and females 48.22 per cent. This Upazila's eighteen up population is 151,566. Pangsha has an average literacy rate of 23.1 per cent (7+ years), and the national average of 32.4 per cent literate.[1]

Pangsa is most beautiful,smokeless, neat and clean town. It is full of a lot of tourist spots. It has rich culture. Eid and Durga Puja are its biggest religious festival. It has many primary, boys, girl and KG school. One University college, two girls college have in pangsa pourasova.

Administrative: Pangsha has 20 Unions/Wards, 359 Mauzas/Mahallas, and 316 villages.

8.4 Rajbari Sadar (Bengali: রাজবাড়ী সদর) is an Upazila of Rajbari District in the Division of Dhaka, Bangladesh. Geography Rajbari Sadar is located at WikiMiniAtlas 23°45′15″N 89°39′00″E / 23.7542°N 89.6500°E / 23.7542; 89.6500 . It has 48,513 households and total area 313 km². Demographics As of the 1991 Bangladesh census, Rajbari Sadar has a population of 263,555. Males constitute are 51.46 per cent of the population, and females 48.54 per cent. This Upazila's eighteen up population is 133,985. Rajbari Sadar has an average literacy rate of 32.3 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Rajbari Sadar has 17 Unions/Wards, 234 Mauzas/Mahallas, and 203 villages. The prominent villages of Rajbari Sadar are baradhaga, Vabanipur,Sajjankahdha,atdapunia,Binod pur, Kola,Mushidha,Matipara,Rajapur,Mulgho r etc. Schools and colleges Raza Surjo Kumer Institution (R.S.K), Rajbari Rajbari Govt. High School Rajbari Govt. Girls High School Rajbari Govt. College Dr. Abul Hossain degree college.

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9 Padma Right Bank (PRB) 2

9.1 Faridpur is a district in central Bangladesh. It is a part of the Dhaka Division. Faridpur District has a population of over 1.7 million people and is situated on the banks of the Padma river (Lower Ganges). Once a subdivision, the original area of the district comprised what is today the Greater Faridpur region which includes the present day districts of Rajbari, Gopalgonj, Madaripur, Shariatpur and Faridpur. Famous for its jute fields, which are considered to produce the finest raw jute, and aristocratic zamindar families, the district was a focal point for political movements in Bengal during the rule of the British Empire and the early days of the Pakistan era. It produced some of the most prominent politicians and cultural figures of Bengal. Geography Faridpur is located in central Bangladesh under Dhaka division. The area of this district is 2072.72 km². The district is bounded by the Padma river to the north and east and across the river are Manikganj, Dhaka and Munshiganj districts. It is bordered by Madaripur to the east, Gopalgonj to the south and Rajbari, Narail and Magura to the west. The soil is highly fertile as the district lies on the banks of the Padma river / Lower Ganges. Other smaller rivers include Old Kumar, Arial khan, Gorai, Chandana, Bhubanshwar and Modhumoti. The main depressions are Dhol Samudra, Beel Ramkeli, Shakuner Beel and Ghoradar Beel.

History: In 1582 in the reign of Emperor Akbar, Bengal province was formed into 33 sarkars or financial sub-divisions, and Faridpur area appears to have been included within Muhammad Abud sarkar. During the reign of Emperor Shah Jahan, these divisions were carried onto such an extent as to cause in a falling of the imperial revenue. In 1721 a new partition of the country was made, with Bengal formed into 13 large divisions (chaklas). In 1765, the financial administration of Bangal was captured by the English, and in 1790 the collectors were invested with magisterial powers. In 1793 the collectors were relieved of their magisterial duties and separate officers were appointed uniting Judicial and Magisterial power together. Most of Faridpur was then within Dacca Jalalpur. In 1811 Faridpur was separated from Dacca collectorate.

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9.2 Bhanga (Bengali: ভা�া) is an Upazila of Faridpur District in the Division of Dhaka, Bangladesh. Geography: Bhanga is located at WikiMiniAtlas 23°23′00″N 89°59′00″E / 23.3833°N 89.9833°E / 23.3833; 89.9833 . It has 41462 units of house hold and total area 216.34 km².

Demographics: As of the 1991 Bangladesh census, Bhanga has a population of 214,700. Males constitute are 50.23 per cent of the population, and females 49.77 per cent. This Upazila's eighteen and up population is 105762. Bhanga has an average literacy rate of 25.7 per cent (7+ years). Area: Total 216.34 km2. Population (1991) 214,702.Density 992/km2.

Administrative: Bhanga has 12 Unions/Wards, 137 Mauzas/Mahallas, and 227 villages. 12 Union of Bhanga.

9.3 Charbhadrasan (Bengali: চর ভ�াসন) is an Upazila of Faridpur District in the Division of Dhaka, Bangladesh.

Geography Charbhadrasan is located at WikiMiniAtlas 23°33′30″N 90°05′00″E / 23.5583°N 90.0833°E / 23.5583; 90.0833 . It has 12,415 households and total area 141.59 km².

Demographics As of the 1991 Bangladesh census, Charbhadrasan has a population of 69,876. Males constitute are 51.36 per cent of the population, and females 48.64 per cent. This Upazila's eighteen up population is 34,758. Charbhadrasan has an average literacy rate of 20.5 per cent (7+ years), and the national average of 32.4 per cent literate.[1] (Great Sharat Chandra Tikadar was born in this upazilla. He was as well as a doctor (Ayurveda), social worker and was the member of district board.) Only one son of Sheikh Abdur Rob born in 13 (ﻣﺼﻄﻔﻰ ﺍﻟﺸﻴﺦ) Mia, Designer Mohammad Golam Mostafa, also known as Mostafa Al Sheikh June 1982, in this upazilla. Administrative Charbhadrasan has 4 Unions/Wards, 25 Mauzas/Mahallas, and 129 villages.

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9.4 Faridpur Sadar (Bengali: ফিরদপুর সদর) is an Upazila (sub-district) of Faridpur District in the Division of Dhaka, Bangladesh. It contains Faridpur Town near the banks of the Padma River. Geography Faridpur Sadar is located at WikiMiniAtlas 23°35′45″N 89°49′50″E / 23.5958°N 89.8306°E / 23.5958; 89.8306. It has 60454 units of house hold and total area 407.02 km². Demographics As of 1991[update] the Bangladesh census, listed Faridpur Sadar with a population of 335386. Males constitute are 51.91 per cent of the population, and females 48.09 per cent. This Upazila's eighteen up population is 176469. Faridpur Sadar has an average literacy rate of 34.2 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Faridpur Sadar has 14 Unions/Wards, 197 Mauzas/Mahallas, and 298 villages.

9.5 Sadarpur (Bengali: সদরপুর )is an Upazila of Faridpur District in the Division of Dhaka, Bangladesh. Geography Sadarpur is located at WikiMiniAtlas 23°28′35″N 90°02′00″E / 23.4764°N 90.0333°E / 23.4764; 90.0333 . It has 31,104 households and total area 290.21 km².

Demographics As of the 1991 Bangladesh census, Sadarpur has a population of 172,059. Males constitute are 52.56 per cent of the population, and females 47.44 per cent. This Upazila's eighteen up population is 88,658. Sadarpur has an average literacy rate of 22.6 per cent (7+ years), and the national average of 32.4 per cent literate.[1]

Administrative Sadarpur has 9 Unions/Wards, 89 Mauzas/Mahallas, and 287 villages.

10 Padma Right Bank (PRB) 3

10.1 Madaripur is a district in central Bangladesh. It is a part of the Dhaka Division.

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History of Madaripur: Madaripur subdivision was established in 1854 under the district of Bakerganj. In 1873 it was separated from Bakerganj and annexed to Faridpur district. Madaripur subdivision was turned into a district in 1984. Madaripur district was named after sufi saint Badruddin Shah Madar (15th century). He was one of the sufi saints who came to Bangladesh from some Middle Eastern country in the 15th century to propagate Islam in Bengal. Shah Madar's dargah or tomb on the bank of the Arial Kha is visited every year by countless people seeking the blessings of the saint. One of the most important historical events that took place in Madaripur is the Faraizi Movement led by Haji Shariatullah (1781–1840). During the War of Liberation many direct encounters were held between the freedom fighters and the Pakistan army in Madaripur. The freedom fighters of Madaripur captured 40 Pakistani soldiers including a major and a captain.

Demographics: The total population is 11,37,008, among them: male 50.29 per cent and female 49.71 per cent. The religion of the majority of the people is Islam, but there are also some Hindus. The specifications are: Muslim 85.67 per cent, Hindu 13.72 per cent and others 0.61 per cent. Mosques 2844, temples 53 and churches 5.

Subdivisions: Madaripur is divided into 4 upazilas: The PPTA PSB 4 Upazila is: Shibchar Upazila, The others are: Madaripur Sadar, Kalkini, and Rajoir; and The largest city of the district is Madaripur

Geography: Faridpur District and Padma River are on the north of the Madaripur district. Barisal is on the south, Shariatpur and Meghna River are on the east. Gopalgong District and Padma River are to its west. Madaripur (Town) consists of 9 wards and 33 mahallas. The area of the town is 34.81 km². A few years before Madaripur was famous for Jute business and Jute industry, This was initiated before 1970 by one of the wealthiest Person A.R Howlader. After the independence of Bangladesh, government seized all large private industries and formed BJMC. The industry then became sick. Local political leaders are generated by that Jute mill. Because of the jute industries in Madaripur, it attracted many businessmen. It provided many jobs and comfort to the local peoples. After its success just before 2000, the business started to lose its profits.

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10.2 Shibchar (Bengali: িশবচর) is an Upazila of Madaripur District in the Division of Dhaka, Bangladesh. Geography: Shibchar is located at WikiMiniAtlas 23°21′00″N 90°10′00″E / 23.3500°N 90.1667°E / 23.3500; 90.1667 . It has 58,085 households and a total area of 321.88 km².

Demographics: As of the 1991 Bangladesh census, Shibchar has a population of 306,082. Males constitute are 51.46 per cent of the population, and females 48.54 per cent. This Upazila's eighteen up population is 143975. Shibchar has an average literacy rate of 26.9 per cent (7+ years), and the national average of 32.4 per cent literate.

Administrative: Shibchar has 18 Unions/Wards, 110 Mauzas/Mahallas, and 467 villages

10.3 Shariatpur is a district in the Dhaka Division of central Bangladesh.Upazilas: The two PPTA PSB 2 Upazilas are: Zanjira Upazila and Naria Upazila, Others are: Shariatpur Sadar Upazila, Damudya Upazila, Jajira Upazila, Bhedarganj Upazila, Gosairhat Upazila, Shakhipur Upazila

Geography and demography: Shariatpur District is bounded on the north by Munshiganj District, Barisal District on the south, Chandpur District on the east, Madaripur District on the west. Main rivers are Padma, Meghna, Kirtinasha, Palong, Jayanti and Dharmaganj. Area of Shariatpur district is 1181.53 km². It consists of 6 upazilas, 5 Municipality, 102 Mahalla, 64 Union Parishad, 608 Mouza, 1235 Village, 213677 household. According to the census of 2001, Shariatpur district had a population of 1,082,300 distributed to 213,677 households (average household size 5), including 543,838 men and 538,462 women, or a gender ratio of 101:100. Literacy rate is 38.9 per cent. History Shariatpur was named after Haji Shariatullah (1781–1840), who was the founder of Faraizi Movement and an eminent Islamic reformer during British Raj. Shariatpur was established as district on 1 March 1984. Earlier it was known as Palong thana under Faridpur sub-division which was converted to Shariatpur Sub-division and latterly as district with 6 upgraded thanas.

Religion in Shariatpur District: Religion Percent Islam 93.45 per cent, Hinduism 3.55 per cent, Christianity 1.5 per cent ,other religions 0.5 per cent. Population (2001) 1,082,300, Density 916/km2.

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10.4 Naria (Bengali: নিড়য়া) is an Upazila of Shariatpur District in the Division of Dhaka, Bangladesh. Geography: Naria is located at WikiMiniAtlas23°18′00″N 90°24′00″E / 23.3000°N 90.4000°E / 23.3000; 90.4000 . It has 40,241 households and total area 240.02 km².

Demographics: At the 1991 Bangladesh census Naria had a population of 214,944. Males constitute 49.99 per cent of the population, and females 50.01 per cent. The population aged 18 and over was 99,265. Naria has an average literacy rate of 30.7 per cent (7+ years), compared to the national average of 32.4 per cent.

Administrative: Naria has 15 Unions/Wards, 147 Mauzas/Mahallas, and 211 villages. Sureswar Darbar Sharif

Naria is famous for Sureswar Darbar Sharif. It is situated in Sureswar Village of this Upazila. There is a launch ghat near the Darbar Sharif. Darbar Sharif is a Muslim Shrine founded by Hazrat Jan Sharif Seha Sureshar Kibla Kaba (R). Present Pir Sheh Sufi Syed Alam Nuri (R:) (born 1963 A.D). Uras sharif of Sureswar Darbar is held from Magh 19 to 21 each year and attended by large number of devotees from different parts of the country. The first Pir of Sureswar was Hazrat Maulana Seha Sufi Syed Ahmed Ali Hazrat Jan Sharif Seha Sureshar Kibla Kaba (R) who was a Muslim saint and Pir. He was spiritually guided in the Marifat discipline of Prophet Mohammad (S) and saint according to Oaisia Tarika. He was very respectful to all section of people. After his death his dissidents were Hazrat Moulana Nur Saha (R:) (died 1361 B.S.), Hazrat Saha Sufi Jalal Nuri (R:) (died 1406 B.S.).

10.5 Zanjira (Bengali: জাঁিজরা) is an Upazila of Shariatpur District in the Division of Dhaka, Bangladesh. Geography: Zanjira is located at WikiMiniAtlas 23°21′00″N 90°20′00″E / 23.3500°N 90.3333°E / 23.3500; 90.3333 . It has 28,716 households and total area 239.53 km².

Demographics: As of the 1991 Bangladesh census, Zanjira has a population of 157,316. Males constitute are 51.13 per cent of the population, and females 48.87 per cent. This Upazila's eighteen up population is 72,458. Zanjira has an average literacy rate of 18.2 per cent (7+ years), and the national average of 32.4 per cent literate. Administrative Zanjira has 12 Unions/Wards, 127 Mauzas/Mahallas, and 177 villages.

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11 Meghna Left Bank (MLB) 1

11.1 Matlab [Uttar] (Bengali: মতলব) is an Upazila of Chandpur District in the Division of Chittagong, Bangladesh.

Geography: Matlab is located at WikiMiniAtlas 23°21′00″N 90°42′30″E / 23.3500°N 90.7083°E / 23.3500; 90.7083 . It has 76,266 registered housing units and a total land area 409.22 km². Demographics. As of 1991[update] Bangladesh census, Matlab had a population of 445,607. Males constitute 49.31 per cent of the population, females 50.69 per cent. Matlab has an average literacy rate of 36.1 per cent (7+ years), the national average being 32.4 per cent. Area 409.22 km2. Population (1991) 445,607. Density 1,089/km2.

Administrative: .Matlab has 22 Unions/Wards, 244 Mauzas/Mahallas, and 407 villages.

12 Meghna Left Bank (MLB) 2

12.1 Chandpur Sadar (Bengali: চাঁদপুর সদর) is an Upazila of the Chandpur District in the Division of Chittagong, Bangladesh. It is mainly reputed for its famous hilsha fish, which are caught by the local fishermen from the nearby Meghna river. Demographics: As of the 2001 Bangladesh census,[1] Chandpur Sadar had 85,062 households and a population of 436,680 of which 49.84 per cent are female. It had an average literacy rate of 57.12 per cent. The old 1991 census states a population of 396,872 of which only 49.28 per cent were more than 18 years of age, 47.75 per cent were female, and 40.1 per cent literate. Administrative: Chandpur Sadar has 18 Unions/Wards, 187 Mauzas/Mahallas, and 114 villages.

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12.2 Matlab Upazila (Chandpur district) [Uttar/Dakshin] with an area of 409.22 sq km, is bounded by Daudkandi and Gazaria upazilas on the north, Chandpur sadar and Hajiganj upazilas on the south, Kachua (Chandpur) upazila on the east, Munshiganj sadar and Bhedarganj upazilas on the west. Main rivers are Lower Meghna, Gumti and Dhonagoda; Meghna- Dhanagoda Irrigation Project is notable. The location of the Matlab Town is 23.349867N 90.7070099E. Matlab (Town) consist of 9 wards and 31 mahallas. The area of the town in 3.26 sq km. It has a population of 52296; male 49.42, female 50.58; density of population per sq km is 16042. Literacy rate among the town people is 61.4 per cent. Matlab thana, now two upazilas- Matlab Uttar and Matlab Dakshin, was established in 1818. It consists of 2 municipalities (Matlab and Chengarchar), 18 wards, 72 mahallas, 22 union parishads, 244 mouzas and 407 villages.

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13 Meghna Right Bank (MRB) 1

13.1 Shariatpur is a district in the Dhaka Division of central Bangladesh. Upazilas7 upazilas (sub-district) under this district are: 1.Shariatpur Sadar Upazila, 2.Damudya Upazila, 3.Naria Upazila, 4.Jajira Upazila, 5.Bhedarganj Upazila, 6.Gosairhat Upazila, 7.Shakhipur UpazilaGeography and demographyShariatpur District is bounded on the north by Munshiganj District, Barisal District on the south, Chandpur District on the east, Madaripur District on the west. Main rivers are Padma, Meghna, Kirtinasha, Palong, Jayanti and Dharmaganj. Area of Shariatpur district is 1181.53 km². It consists of 6 upazilas, 5 Municipality, 102 Mahalla, 64 Union Parishad, 608 Mouza, 1235 Village, 213677 household. According to the census of 2001, Shariatpur district had a population of 1,082,300 distributed to 213,677 households (average household size 5), including 543,838 men and 538,462 women, or a gender ratio of 101:100. Literacy rate is 38.9 per cent.

13.2 Bhedarganj (Bengali: েভদরগ�) is an Upazila of Shariatpur District in the Division of Dhaka, Bangladesh. Geography Bhedarganj is located at WikiMiniAtlas

23°12′30″N 90°26′30″E / 23.2083°N 90.4417°E / 23.2083; 90.4417. It has 36,550 household s and total area 267.28 km².

Demographics As of the 1991 Bangladesh census, Bhedarganj has a population of 207,258. Males constitute are 50.67 per cent of the population, and females 49.33 per cent. This Upazila's eighteen up population is 94,743. Bhedarganj has an average literacy rate of 22.5 per cent (7+ years), and the national average of 32.4% literate. Administration Bhedarganj has 13 Unions & 1 municipality with 9 Wards, 88 Mauzas / Mahallas, and 331

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13.3 Gosairhat (Bengali: েগাসাইরহাট) is an Upazila of Shariatpur District in the Division of Dhaka, Bangladesh. Geography and historyGosairhat is located between 23°05' and 23°10' north latitudes and between 90°20' and 90°34' east longitudes, on the western banks of the Meghna river. Total area of this upazila is 177.86 square kilometer along with last incorporated Kuchaipatty union. It is bounded on the north by Damudya Upazila and Bhedarganj Upazila, on the east by Haimchar Upazila of Chandpur District, on the south by Muladi Upazila and Hizla Upazila of Barisal District and on the west by Shariatpur Sadar Upazila and Kalkini Upazila of Madaripur District. Main rivers are Meghna, Jayanti and Dharmaganj.

Along with the rest of Bengal, Gosairhat came under the rule of the British East India Company after the defeat of the Nawab Siraj-ud-Daula to the company at the Battle of Plassey in 1757. The area was administered as Madaripur subdivision which was established in 1854 under the then Bakerganj District. Madaripur subdivision was separated from Bakerganj district and annexed with Faridpur District in 1873. Gosairhat came into existence as a thana in 1921. Gosairhat was a big thana until 1975, when a segment of this thana was converted to Damudya thana and lately Upazila. In 1978 six thanas along with Gosairhat was separated from Madaripur subdivision and formed Shariatpur Subdivision while in 1983 Gosairhat was elevated to upazila which worked under newly created Shariatpur District in 1984.

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Asian Development Bank

Funded by the Japan Fund for Poverty Reduction

Government of the People’s Republic of Bangladesh Bangladesh Water Development Board

Project Preparatory Technical Assistance 8054 BAN Main River Flood and Bank Erosion

Risk Management Program

Final Report, Annex B3 Surveys & Field Visits

August 2013

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Glossary ADB Asian Development Bank ADG Additional Director General ADP Annual Development Program BB Bangladesh Bank BIWTA Bangladesh Inland Water Transport Authority BUET Bangladesh University of Engineering Technology BWDB Bangladesh Water Development Board CDMP Comprehensive Disaster Management Program CEGIS Centre for Environment and Geo-Information Services CE-RM Chief Engineer River Management DDM Department of Disaster Management DDMC District Development Coordination Committee DMB Disaster Management Bureau DMC Disaster Management Committee DPP Development Project Proposal DRM Disaster Risk Management DRR Disaster Risk Reduction EIP Early Implementation Project FAP Flood Action Plan FMA(Q) Financial Management Assessment (Questionnaire) FPCO Flood Plan Coordination Organisation GBM Ganges - Brahmaputra - Meghna GoB Government of Bangladesh GPWRM Guidelines for Participatory Water Resources Management GO Government Order GWP Global Water Partnership IFRERM Integrated Flood and Erosion Risk Management IWM Institute for Water Modelling IWRM Integrated Water Resources Management LGED Local Government Engineering Division LGI Local Government Institutions MoDMR Ministry of Disaster Management and Relief MoF Ministry of Finance MoWR Ministry of Water Resources MFF Multi-tranche Financing Facility MoWR Ministry of Water Resources MRP Main River Flood and Bank Erosion Risk Management Program NGO Non-Governmental Organisation NWRC National Water Resources Council RAC Regional Accounting Centre RHD/R&H Roads and Highways Division PMO Program Management Organisation RRI River Research Institute (of BWDB) PRSP Poverty Reduction Strategy Paper SOD Standing Order on Disaster UDCC Upazila Development Coordination Committee WAN Wide Area Network WARPO Water Resources Planning Organisation

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Table of Content

1 Introduction ...... 87 2 River Survey ...... 87 2.1 Coordinate System ...... 87 3 Land Survey ...... 95 3.1 Data Sheet along the left bank of Hurasagar ...... 95 3.2 Data Sheet of Kaijuri ...... 97 3.3 Data Sheet of Chauhali ...... 99 3.4 Data Sheet of Jafargonj ...... 102 3.5 Data Sheet of Harirampur-Dohar ...... 105 3.6 Surveyed Flood Plain Line showing on Google Earth ...... 110 4 Embankment Survey ...... 111 4.1 List of Culverts & Bridges ...... 112 Photographs...... 117 5 JRB-1 Kaijuri to Verakhola level of Walkway survey along river bank ...... 146 5.1 Walkway RL Survey 02-05-2011 ...... 146 5.2 Walkway RL Survey 04-05-2011 ...... 155 5.3 Walkway RL Survey 03 ...... 161 5.4 Walkway RL Survey 25-05-2011 ...... 162 5.5 Walkway RL Survey 24-05-2011 ...... 168 6 Field visits of the project areas on Jamuna, Padma and Meghna ...... 177 6.1 Field trip on 14-12-2012 to 16-12-2012 ...... 177 Field trip on 19-02-2013 ...... 185 Field trip on 03-05-2013...... 187 Field trip on 10-05-2013 to 11-05-2013 ...... 191

List of Figures

Figure 2-1: Contour Map of Chauhali ...... 88 Figure 2-2: Run Line of Chauhali ...... 89 Figure 2-3: Contour Map of Harirampur ...... 90 Figure 2-4: Run Line of Harirampur ...... 91 Figure 2-5: Contour Map of Jafarganj ...... 92 Figure 2-6: Run Line of Jafarganj ...... 93 Figure 3-1: Left bank of Hurasagar ...... 96 Figure 3-2: Left bank of Kaijuri ...... 98 Figure 3-3: Left Bank of Chauhali ...... 101 Figure 3-4: Left Bank of Jafarganj ...... 104 Figure 3-5: Left Bank of Harirampur- Dohar...... 109 Figure 3-6: Surveyed Flood Plain Line showing on Google Earth...... 110 Figure 4-1: Alignment Track from Aricha to Jionpur ...... 111 Figure 4-2: Alignment Track from Mawa Chowrasta to Paturia ...... 112 Figure 6-1: 14.12.2012 ...... 178

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1 Introduction

The purpose of this flood embankment and dry season river survey is to provide the most recent river data for preparing feasibility designs and cost of Tranche-1 sub-project interventions (riverbank protection and flood embankments); specifically, to confirm elevations for designing riverbank protection and embankment crest levels.

To this end we have carried out Flood Plain Survey In five (5) pre-selected locations, Bathy Metric Survey in three (3) locations in Padma and Jamuna river. Flood Embank Survey (tracking) from Mawa to Paturia and Aricha to Jafarganj.

2 River Survey

Digital Echo-sounder (Fish finder) supported by GPS and Laptop computer installed with Winprofile survey software has been used to conduct Bathymetric survey. The Measurement Sub-menu of Winprofile software guides the survey boat on the desired alignment (Pre set transects). All survey data were stored in tabular format MS Access database during survey. The Post process sub-menu of the Winprofile software compiles depth of water and position of sounding along with date and time. The erroneous data is removed by checking the sections. The depth data is then reduced to the PWD datum using water level observed at the gauges within the survey area (Water level gauge previously connected with the reference TBM). The edited data is then exported into YXZ format from the Post process sub-menu to surfer file

2.1 Coordinate System All survey have been carried out in Bangladesh Transverse Mercator (BTM) coordinate system and for vertical reference (Reduced Level) m PWD.

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Figure 2-1: Contour Map of Chauhali

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Figure 2-2: Run Line of Chauhali

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Figure 2-3: Contour Map of Harirampur

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Figure 2-4: Run Line of Harirampur

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Figure 2-5: Contour Map of Jafarganj

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Figure 2-6: Run Line of Jafarganj

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3 Land Survey 3.1 Data Sheet along the left bank of Hurasagar Easting Northing delta east delta north station distance RL 465657 661320 0.00 0.00 3.42 465637 661406 20 86 88.29 88.29 4.703 465637 661468 0 62 62.00 150.29 4.746 465633 661732 4 264 264.03 414.33 5.189 465633 661732 0.1 0 0.10 414.43 5.446 465586 661819 47.1 87 98.93 513.36 7.686 465540 661906 46 87 98.41 611.77 6.597 465504 661983 36 77 85.00 696.77 6.02 465467 662143 37 160 164.22 860.99 4.842 465485 662231 18 88 89.82 950.81 7.687 465386 662311 99 80 127.28 1078.10 8.191 465250 662414 136 103 170.60 1248.70 8.491 465077 662548 173 134 218.83 1467.52 7.456 464986 662584 91 36 97.86 1565.39 9.014 464820 662640 166 56 175.19 1740.58 9.394 464706 662699 114 59 128.36 1868.94 8.448 464565 662793 141 94 169.46 2038.40 7.783 464473 662874 92 81 122.58 2160.98 9.015 464355 662966 118 92 149.63 2310.60 10.363 464254 663037 101 71 123.46 2434.06 10.278 464102 663143 152 106 185.31 2619.37 9.91 463995 663221 107 78 132.41 2751.79 10.399 463910 663276 85 55 101.24 2853.03 10.349 463828 663330 82 54 98.18 2951.21 10.278 463704 663417 124 87 151.48 3102.69 9.819 463623 663483 81 66 104.48 3207.17 9.966 463544 663534 79 51 94.03 3301.20 9.536 463454 663594 90 60 108.17 3409.37 9.023 463352 663663 102 69 123.15 3532.52 9.746 463286 663716 66 53 84.65 3617.16 9.495 463192 663787 94 71 117.80 3734.96 10.345 463097 663861 95 74 120.42 3855.38 10.515 462992 663939 105 78 130.80 3986.19 10.065 462900 664022 92 83 123.91 4110.09 9.69 462783 664096 117 74 138.44 4248.53 9.65 462685 664163 98 67 118.71 4367.24 9.565 462576 664234 109 71 130.08 4497.33 9.714 462475 664308 101 74 125.21 4622.54 9.713 462375 664379 100 71 122.64 4745.18 10.553 462292 664447 83 68 107.30 4852.48 10.709 462200 664536 92 89 128.00 4980.48 10.726 462130 664590 70 54 88.41 5068.89 10.658 461944 664639 186 49 192.35 5261.24 9.389 461818 664540 126 99 160.24 5421.48 9.358 461711 664649 107 109 152.74 5574.22 9.559 461629 664723 82 74 110.45 5684.67 10.105 461546 664837 83 114 141.01 5825.69 10.391 461427 664850 119 13 119.71 5945.39 10.281 461295 664825 132 25 134.35 6079.74 10.581 461181 664881 114 56 127.01 6206.75 10.297 461066 664942 115 61 130.18 6336.93 10.355 460980 664994 86 52 100.50 6437.43 9.805 460890 665055 90 61 108.72 6546.15 9.913 460778 665121 112 66 130.00 6676.15 9.642 460693 665261 85 140 163.78 6839.93 10.597 460544 665379 149 118 190.07 7030.00 11.291 460431 665469 113 90 144.46 7174.46 11.296

Page 95 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing delta east delta north station distance RL 460324 665559 107 90 139.82 7314.28 11.451 460246 665646 78 87 116.85 7431.13 12.369 460156 665757 90 111 142.90 7574.03 11.559 460057 665877 99 120 155.57 7729.59 11.745 459972 665981 85 104 134.32 7863.91 12.245 459861 666149 111 168 201.36 8065.27 11.54 459777 666268 84 119 145.66 8210.93 11.438 459682 666416 95 148 175.87 8386.80 11.295 459631 666480 51 64 81.84 8468.63 11.254 459568 666598 63 118 133.76 8602.40 11.325 459505 666713 63 115 131.13 8733.52 11.453 459436 666830 69 117 135.83 8869.35 11.295 459382 666924 54 94 108.41 8977.76 11.015 459313 667044 69 120 138.42 9116.18 11.156 459257 667148 56 104 118.12 9234.30 11.23 459246 667280 11 132 132.46 9366.76 11.115 459248 667392 2 112 112.02 9478.78 11.095 459245 667483 3 91 91.05 9569.83 11.194 459226 667569 19 86 88.07 9657.90 11.465 459195 667694 31 125 128.79 9786.69 11.114 459172 667765 23 71 74.63 9861.32 11.164 459135 667873 37 108 114.16 9975.48 11.395 459113 667950 22 77 80.08 10055.56 11.435 459049 668015 64 65 91.22 10146.78 11.443 458999 668096 50 81 95.19 10241.97 11.316 458939 668172 60 76 96.83 10338.80 9.417 458926 668163 13 9 15.81 10354.61 8.403

Profile with RL 14

Profile with RL 6

0 0.00 2000.00 4000.00 6000.00 8000.00 10000.00 12000.00

Figure 3-1: Left bank of Hurasagar

Page 96 September 2013 B3 Surveys & Field Visits

3.2 Data Sheet of Kaijuri

Easting Northing RL delta east delta north station distance Profile with RL

91 469177 672709 4.378 0.00 0.00 4.378 90 469165 672748 5.573 12 39 40.80 40.80 5.573 89 469143 672799 5.413 22 51 55.54 96.35 5.413 88 469101 672855 6.982 42 56 70.00 166.35 6.982 87 469061 672921 7.231 40 66 77.18 243.52 7.231 86 469039 672965 8.887 22 44 49.19 292.72 8.887 85 469029 672972 9.568 10 7 12.21 304.92 9.568 84 469020 673006 12.379 9 34 35.17 340.09 12.379 83 469027 672986 13.225 7 20 21.19 361.28 13.225 82 469012 672969 12.372 15 17 22.67 383.95 12.372 81 469011 672939 11.154 1 30 30.02 413.97 11.154 80 468893 672935 10 118 4 118.07 532.04 10 79 468814 672914 10.595 79 21 81.74 613.78 10.595 78 468694 673002 10.639 120 88 148.81 762.59 10.639 77 468655 673011 10.47 39 9 40.02 802.62 10.47 76 468525 673005 12.326 130 6 130.14 932.75 12.326 75 468420 673006 10.375 105 1 105.00 1037.76 10.375 74 468333 673027 11.164 87 21 89.50 1127.26 11.164 73 468251 673027 11.016 82 0 82.00 1209.26 11.016 72 468117 673028 10.588 134 1 134.00 1343.26 10.588 71 468018 672991 11.234 99 37 105.69 1448.95 11.234 70 467921 673008 10.396 97 17 98.48 1547.43 10.396 69 467857 673030 10.421 64 22 67.68 1615.10 10.421 68 467698 673062 9.842 159 32 162.19 1777.29 9.842 67 467687 673065 9.884 11 3 11.40 1788.69 9.884 66 467631 673051 12.535 56 14 57.72 1846.42 12.535 65 467517 673028 10.199 114 23 116.30 1962.71 10.199 64 467512 673027 9.052 5 1 5.10 1967.81 9.052 63 467494 673033 8.148 18 6 18.97 1986.79 8.148 62 467499 673037 12.145 5 4 6.40 1993.19 12.145 61 467422 673094 11.272 77 57 95.80 2088.99 11.272 60 467290 673132 10.131 132 38 137.36 2226.35 10.131 59 467182 673156 9.409 108 24 110.63 2336.99 9.409 58 467039 673175 9.78 143 19 144.26 2481.24 9.78 57 466869 673152 9.819 170 23 171.55 2652.79 9.819 56 466743 673161 9.511 126 9 126.32 2779.11 9.511 55 466619 673149 9.401 124 12 124.58 2903.69 9.401 54 466497 673165 9.251 122 16 123.04 3026.74 9.251 53 466341 673182 9.695 156 17 156.92 3183.66 9.695 52 466242 673093 9.335 99 89 133.12 3316.79 9.335 51 466155 673082 9.878 87 11 87.69 3404.48 9.878 50 466099 673155 9.507 56 73 92.01 3496.48 9.507 49 465967 673142 10.042 132 13 132.64 3629.12 10.042 48 465900 673126 9.41 67 16 68.88 3698.01 9.41 47 465816 673054 7.556 84 72 110.63 3808.64 7.556 46 465726 672984 7.351 90 70 114.02 3922.66 7.351 45 465620 672898 8.016 106 86 136.50 4059.16 8.016 44 465494 672833 7.888 126 65 141.78 4200.94 7.888 43 465345 672754 8.964 149 79 168.65 4369.58 8.964 42 465236 672676 8.531 109 78 134.03 4503.62 8.531 41 465047 672665 7.159 189 11 189.32 4692.94 7.159 40 464925 672594 9.324 122 71 141.16 4834.09 9.324 39 464799 672551 9.12 126 43 133.14 4967.23 9.12 38 464656 672524 9.098 143 27 145.53 5112.75 9.098 37 464529 672490 9.777 127 34 131.47 5244.23 9.777 36 464379 672452 9.33 150 38 154.74 5398.97 9.33 35 464234 672411 9.69 145 41 150.69 5549.65 9.69 34 464036 672388 9.306 198 23 199.33 5748.98 9.306 33 463890 672396 9.032 146 8 146.22 5895.20 9.032 32 463753 672399 9.035 137 3 137.03 6032.23 9.035

Page 97 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing RL delta east delta north station distance Profile with RL

31 463573 672420 9.236 180 21 181.22 6213.45 9.236 30 463458 672533 9.692 115 113 161.23 6374.68 9.692 29 463308 672512 9.522 150 21 151.46 6526.14 9.522 28 463189 672527 8.648 119 15 119.94 6646.09 8.648 27 463091 672580 8.972 98 53 111.41 6757.50 8.972 26 462955 672584 9.655 136 4 136.06 6893.56 9.655 25 462872 672625 8.943 83 41 92.57 6986.13 8.943 24 462825 672667 10.212 47 42 63.03 7049.16 10.212 23 462824 672750 10.623 1 83 83.01 7132.17 10.623 22 462777 672739 10.812 47 11 48.27 7180.44 10.812 21 462664 672713 9.478 113 26 115.95 7296.39 9.478 20 462512 672688 9.45 152 25 154.04 7450.43 9.45 19 462434 672809 10.109 78 121 143.96 7594.40 10.109 18 462282 672784 10.06 152 25 154.04 7748.44 10.06 17 462170 672789 10.065 112 5 112.11 7860.55 10.065 16 462065 672780 10.148 105 9 105.39 7965.94 10.148 15 461934 672702 10.213 131 78 152.46 8118.40 10.213 14 461853 672685 10.073 81 17 82.76 8201.16 10.073 13 461845 672691 9.792 8 6 10.00 8211.16 9.792 12 461815 672750 8.789 30 59 66.19 8277.35 8.789 11 461652 672719 7.684 163 31 165.92 8443.27 7.684 10 461524 672678 8.9 128 41 134.41 8577.68 8.9 9 461405 672677 8.636 119 1 119.00 8696.68 8.636 8 461013 673002 8.477 392 325 509.20 9205.89 8.477 7 461323 672745 8.881 310 257 402.68 9608.57 8.881 6 461227 672802 8.786 96 57 111.65 9720.21 8.786 5 461100 672822 7.799 127 20 128.57 9848.78 7.799 4 460986 672910 7.851 114 88 144.01 9992.79 7.851 3 460840 672969 8.795 146 59 157.47 10150.26 8.795 2 460801 673070 8.892 39 101 108.27 10258.53 8.892 1 460720 673196 9.495 81 126 149.79 10408.32 9.495

Profile with RL 14

6 Profile with RL

0 0.00 2000.00 4000.00 6000.00 8000.00 10000.00 12000.00

Figure 3-2: Left bank of Kaijuri

Page 98 September 2013 B3 Surveys & Field Visits

3.3 Data Sheet of Chauhali

Easting Northing delta east delta north station distance Profile with RL 479739 670843 0.00 0.00 4.800 479748 670855 9 12 15.00 15.00 7.456 479753 670857 5 2 5.39 20.39 8.551 479815 670837 62 20 65.15 85.53 10.095 479867 670838 52 1 52.01 137.54 10.499 479931 670847 64 9 64.63 202.17 9.803 480034 670890 103 43 111.62 313.79 9.779 480123 670842 89 48 101.12 414.90 10.254 480222 670843 99 1 99.01 513.91 11.289 480289 670846 67 3 67.07 580.98 11.265 480358 670813 69 33 76.49 657.46 10.957 480473 670819 115 6 115.16 772.62 10.412 480616 670804 143 15 143.78 916.40 9.071 480661 670810 45 6 45.40 961.80 8.983 480788 670814 127 4 127.06 1088.86 9.207 480912 670856 124 42 130.92 1219.78 9.567 481019 670848 107 8 107.30 1327.08 9.786 481094 670853 75 5 75.17 1402.25 10.498 481151 670847 57 6 57.31 1459.56 11.000 481183 670860 32 13 34.54 1494.10 10.327 481259 670863 76 3 76.06 1570.16 10.284 481327 670862 68 1 68.01 1638.17 10.204 481436 670883 109 21 111.00 1749.18 11.059 481526 670856 90 27 93.96 1843.14 10.967 481644 670823 118 33 122.53 1965.67 10.991 481732 670818 88 5 88.14 2053.81 9.995 481827 670769 95 49 106.89 2160.70 10.170 481897 670770 70 1 70.01 2230.71 11.522 482006 670766 109 4 109.07 2339.78 11.462 482018 670843 12 77 77.93 2417.71 12.088 482027 670929 9 86 86.47 2504.18 12.073 482106 670980 79 51 94.03 2598.21 11.576 482166 671006 60 26 65.39 2663.60 12.043 482203 671001 37 5 37.34 2700.94 11.863 482244 670993 41 8 41.77 2742.71 12.058 482418 671047 174 54 182.19 2924.90 11.776 482507 671064 89 17 90.61 3015.51 10.326 482651 670953 144 111 181.82 3197.32 10.726 482673 670895 22 58 62.03 3259.36 10.954 482762 670892 89 3 89.05 3348.41 10.617 482846 670949 84 57 101.51 3449.92 10.567 482958 670930 112 19 113.60 3563.52 11.419 483046 670889 88 41 97.08 3660.60 11.144 483156 670887 110 2 110.02 3770.62 11.136 483275 670861 119 26 121.81 3892.43 11.352 483328 670875 53 14 54.82 3947.25 10.765 483470 670880 142 5 142.09 4089.33 10.874 483578 670882 108 2 108.02 4197.35 10.596 483727 670900 149 18 150.08 4347.44 10.510 483840 670933 113 33 117.72 4465.16 10.596 483880 670895 40 38 55.17 4520.33 10.373 483885 670876 5 19 19.65 4539.97 10.945 483946 670864 61 12 62.17 4602.14 10.592 484055 670838 109 26 112.06 4714.20 10.781 484124 670903 69 65 94.79 4809.00 10.037 484221 670906 97 3 97.05 4906.04 10.151 484293 670908 72 2 72.03 4978.07 9.972

Page 99 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing delta east delta north station distance Profile with RL 484458 670910 165 2 165.01 5143.08 9.519 484545 670914 87 4 87.09 5230.17 9.795 484571 670865 26 49 55.47 5285.65 9.479 484623 670873 52 8 52.61 5338.26 9.577 484692 670914 69 41 80.26 5418.52 9.527 484757 670915 65 1 65.01 5483.53 9.994 484842 670918 85 3 85.05 5568.58 10.240 484962 670919 120 1 120.00 5688.58 10.209 485063 670919 101 0 101.00 5789.58 9.951 485158 670923 95 4 95.08 5884.67 9.985 485271 670927 113 4 113.07 5997.74 9.718 485368 670926 97 1 97.01 6094.74 9.843 485469 670926 101 0 101.00 6195.74 10.049 485553 670929 84 3 84.05 6279.80 10.459 485671 670930 118 1 118.00 6397.80 9.375 485878 670933 207 3 207.02 6604.82 9.735 485932 670932 54 1 54.01 6658.83 10.742 486026 670936 94 4 94.09 6752.92 10.630 486151 670937 125 1 125.00 6877.92 10.220 486250 670935 99 2 99.02 6976.94 9.632 486304 670957 54 22 58.31 7035.25 9.788 486466 670911 162 46 168.40 7203.66 10.108 486513 670925 47 14 49.04 7252.70 10.482 486538 670919 25 6 25.71 7278.41 11.464 486553 670902 15 17 22.67 7301.08 11.644 486626 670919 73 17 74.95 7376.03 11.289 486656 670923 30 4 30.27 7406.30 11.254 486696 670914 10.920 486763 670948 10.818 486849 670950 8.883 486933 670940 9.033 487079 670956 9.354 487205 670959 9.223 487306 670957 9.360 487409 670961 9.062 487479 670976 10.190 487547 670968 10.454 487592 670973 11.768 487627 670974 11.307 487646 670962 10.092 487743 670963 9.297 487864 670967 7.831 488007 670966 9.441 488122 670969 9.448 488170 670971 11.023 488093 670892 11.052 488205 671033 9.232 488226 671110 9.157 488278 671213 9.190 488329 671285 11.233 488363 671351 9.491 488407 671409 9.213 488413 671490 9.308 488428 671568 9.100 488543 671614 9.215 488559 671745 10.095 488639 671796 9.877 488746 671847 9.553 488803 671834 10.766

Page 100 September 2013 B3 Surveys & Field Visits

Easting Northing delta east delta north station distance Profile with RL 488820 671757 10.617 488898 671666 10.067 488975 671576 10.284 489065 671505 9.824 489174 671404 8.946 489296 671325 9.146 489364 671253 8.966 489429 671105 9.679 489532 671067 10.521 489628 670993 9.350 489709 670975 8.921 489838 670974 9.388

Profile with RL 14.000

12.000

10.000

8.000 Profile with RL 6.000

4.000

2.000

0.000 0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.00

Figure 3-3: Left Bank of Chauhali

Page 101 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

3.4 Data Sheet of Jafargonj

Easting Northing delta east delta north station distance Profile with RL 477481 643001 0.00 0.00 3.749 477512 643001 31 0 31.00 31.00 6.684 477520 643003 8 2 8.25 39.25 7.947 477564 643001 44 2 44.05 83.29 9.222 477579 643000 15 1 15.03 98.32 10.233 477592 643000 13 0 13.00 111.32 12.224 477670 643002 78 2 78.03 189.35 10.827 477751 643000 81 2 81.02 270.38 10.739 477853 642999 102 1 102.00 372.38 10.665 477952 643000 99 1 99.01 471.39 10.441 478004 642984 52 16 54.41 525.79 10.601 478136 642988 132 4 132.06 657.85 11.15 478170 642996 34 8 34.93 692.78 11.542 478213 643001 43 5 43.29 736.07 10.862 478252 642964 39 37 53.76 789.83 10.425 478299 642988 47 24 52.77 842.60 10.754 478348 643002 49 14 50.96 893.56 10.164 478358 643084 10 82 82.61 976.17 9.885 478436 643105 78 21 80.78 1056.95 9.833 478506 643069 70 36 78.71 1135.66 9.897 478591 643008 85 61 104.62 1240.29 10.032 478714 643001 123 7 123.20 1363.48 10.098 478780 642985 66 16 67.91 1431.40 9.684 478833 642991 53 6 53.34 1484.73 9.102 478870 642999 37 8 37.85 1522.59 9.685 478912 643001 42 2 42.05 1564.64 9.524 479008 643001 96 0 96.00 1660.64 9.363 479111 642999 103 2 103.02 1763.66 9.479 479200 643000 89 1 89.01 1852.66 10.297 479296 643000 96 0 96.00 1948.66 9.155 479449 643000 153 0 153.00 2101.66 8.98 479570 643000 121 0 121.00 2222.66 8.915 479636 643002 66 2 66.03 2288.69 9.154 479776 643073 140 71 156.97 2445.67 9.096 479873 643152 97 79 125.10 2570.77 8.965 479950 643034 77 118 140.90 2711.67 9.386 480115 643001 165 33 168.27 2879.94 9.143 480181 643001 66 0 66.00 2945.94 10.128 480228 642982 47 19 50.70 2996.63 10.35 480279 642957 51 25 56.80 3053.43 10.31 480293.5 642954 14.5 3 14.81 3068.24 9.501 480308 642951 14.5 3 14.81 3083.04 9.113 480356 642982 48 31 57.14 3140.18 9.9 480415 642999 59 17 61.40 3201.58 8.533 480419 642971 4 28 28.28 3229.87 8.872 480469 642997 50 26 56.36 3286.22 10.969 480529 642971 60 26 65.39 3351.61 10.165 480584 643003 55 32 63.63 3415.25 9.977 480660 642999 76 4 76.11 3491.35 8.193 480734 642996 74 3 74.06 3565.41 8.116 480814 643000 80 4 80.10 3645.51 8.567 481111 643001 297 1 297.00 3942.51 8.484 481169.5 643000.5 58.5 0.5 58.50 4001.02 8.338 481228 643000 58.5 0.5 58.50 4059.52 8.805 481439 643003 211 3 211.02 4270.54 8.514 481487 642999 48 4 48.17 4318.71 8.74 481751 643000 264 1 264.00 4582.71 8.775

Page 102 September 2013 B3 Surveys & Field Visits

Easting Northing delta east delta north station distance Profile with RL 481858 642999 107 1 107.00 4689.71 8.837 481904 643003 46 4 46.17 4735.89 9.317 481950 643007 46 4 46.17 4782.06 9.04 482016 643025 66 18 68.41 4850.47 10.141 482170 643023 154 2 154.01 5004.48 9.315 482324 643033 154 10 154.32 5158.81 9.332 482536 643115 212 82 227.31 5386.11 8.9 482574 643127 38 12 39.85 5425.96 9.191 482688 643085 114 42 121.49 5547.45 10.069 482802 642998 114 87 143.41 5690.86 11.021 482872 643003 70 5 70.18 5761.04 11.022 482976 642999 104 4 104.08 5865.11 8.72 483111 643000 135 1 135.00 6000.12 8.814 483212 642999 101 1 101.00 6101.12 8.82 483329 643003 117 4 117.07 6218.19 8.433 483394 643029 65 26 70.01 6288.20 9.053 483526 643001 132 28 134.94 6423.14 8.768 483618 642971 92 30 96.77 6519.90 8.77 483711 642999 93 28 97.12 6617.03 8.796 483801 642997 90 2 90.02 6707.05 8.472 483854 642985 53 12 54.34 6761.39 10.285 484005 643001 151 16 151.85 6913.24 9.507 484090 642999 85 2 85.02 6998.26 10.137 484178 642993 88 6 88.20 7086.46 8.899 484259 642962 81 31 86.73 7173.19 9.129 484396 642982 137 20 138.45 7311.65 9.061 484535 642976 139 6 139.13 7450.77 9.144 484598 643002 8.236 484715 642980 8.597 484815 642999 9.085 484899 643000 8.408 485017 643000 8.656 485188 642999 8.361 485349 642996 8.602 485574 643002 8.844 485712 642999 8.398 485937 643001 8.261 486100 643041 8.663 486178 642999 8.595 486263 642994 9.088 486379 643000 8.814 486423 643091 8.946 486495 643064 8.952 486530 642997 9.485 486530 643010 9.564 486544 642960 9.918 486563 642928 11.327 486607 642951 10.971 486649 642982 9.936 486737 642985 9.899 486803 643035 12.087 486820 643026 11.628 486896 642982 11.234 486936 643029 11.492 486945 643039 11.112 486972 643032 11.119 487018 643030 10.995 487064 643028 11.462 487142 643008 11.452

Page 103 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing delta east delta north station distance Profile with RL 487203 642986 11.637 487224 642999 11.084 487399 642954 11.854 487459 642979 10.752 487545 643003 10.239

Profile with RL 14

Profile with RL 6

0 0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.00

Figure 3-4: Left Bank of Jafarganj

Page 104 September 2013 B3 Surveys & Field Visits

3.5 Data Sheet of Harirampur-Dohar

Easting Northing delta east delta north station distance Profile with RL 504131 614802 0.00 0.00 504132 614803 1 1 1.41 1.41 3.621 504138 614802 6 1 6.08 7.50 4.021 504138 614802 0 0 0.00 7.50 6.989 504165 614860 27 58 63.98 71.47 6.49 504216 614908 51 48 70.04 141.51 6.312 504218 614933 2 25 25.08 166.59 8.379 504228 614957 10 24 26.00 192.59 8.307 504138 614802 90 155 179.23 371.82 6.989 504082 614923 56 121 133.33 505.15 8.526 504065 615025 17 102 103.41 608.56 6.707 504025 615102 40 77 86.77 695.33 6.318 503995 615191 30 89 93.92 789.25 6.098 503967 615255 28 64 69.86 859.11 6.062 503947 615337 20 82 84.40 943.51 6.233 503902 615385 45 48 65.80 1009.31 6.038 503825 615449 77 64 100.12 1109.43 6.607 503762 615486 63 37 73.06 1182.49 5.769 503720 615526 42 40 58.00 1240.49 6.646 503682 615588 38 62 72.72 1313.21 8.927 503621 615680 61 92 110.39 1423.60 6.717 503578 615804 43 124 131.24 1554.84 6.552 503553 615836 25 32 40.61 1595.45 7.307 503534 615890 19 54 57.25 1652.69 6.412 503504 615973 30 83 88.26 1740.95 6.482 503466 616040 38 67 77.03 1817.98 6.023 503444 616098 22 58 62.03 1880.01 6.169 503409 616151 35 53 63.51 1943.52 6.486 503415 616232 6 81 81.22 2024.74 6.388 503366 616285 49 53 72.18 2096.92 6.758 503344 616350 22 65 68.62 2165.55 6.572 503290 616441 54 91 105.82 2271.36 6.388 503253 616504 37 63 73.06 2344.42 6.616 503284 616536 31 32 44.55 2388.98 6.341 503221 616577 63 41 75.17 2464.14 6.743 503185 616625 36 48 60.00 2524.14 5.994 503184 616624 1 1 1.41 2525.56 2.015 503148 616698 36 74 82.29 2607.85 5.941 503092 616798 56 100 114.61 2722.46 5.64 503064 616888 28 90 94.25 2816.72 5.671 503028 616950 36 62 71.69 2888.41 5.711 502995 617020 33 70 77.39 2965.80 5.696 502977 617083 18 63 65.52 3031.32 5.773 502924 617170 53 87 101.87 3133.19 5.869 502895 617216 29 46 54.38 3187.57 5.909 502846 617305 49 89 101.60 3289.17 6.064 502811 617364 35 59 68.60 3357.77 6.073 502760 617454 51 90 103.45 3461.21 6.081 502724 617519 36 65 74.30 3535.52 6.093 502676 617606 48 87 99.36 3634.88 6.673 502639 617666 37 60 70.49 3705.37 6.513 502586 617759 53 93 107.04 3812.41 6.112 502544 617814 42 55 69.20 3881.62 7.184 502525 617848 19 34 38.95 3920.57 8.059 502483 617905 42 57 70.80 3991.37 8.302 502438 617953 45 48 65.80 4057.16 5.371 502389 618014 49 61 78.24 4135.41 5.406

Page 105 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing delta east delta north station distance Profile with RL 502369 618031 20 17 26.25 4161.66 1.958 502337 618099 32 68 75.15 4236.81 5.571 502284 618168 53 69 87.01 4323.81 5.211 502228 618237 56 69 88.87 4412.68 3.079 502198 618302 30 65 71.59 4484.27 3.655 502193 618391 5 89 89.14 4573.41 3.504 502219 618452 26 61 66.31 4639.72 5.633 502253 618529 34 77 84.17 4723.89 5.816 502252 618610 1 81 81.01 4804.90 5.856 502277 618682 25 72 76.22 4881.11 6.09 502273 618739 4 57 57.14 4938.25 6.518 502302 618846 29 107 110.86 5049.11 6.808 502340 618934 38 88 95.85 5144.97 6.721 502395 619022 55 88 103.77 5248.74 6.841 502450 619114 55 92 107.19 5355.93 6.833 502490 619196 40 82 91.24 5447.17 6.763 502507 619274 17 78 79.83 5527.00 5.819 502430 619359 77 85 114.69 5641.69 4.454 502362 619397 68 38 77.90 5719.58 6.311 502331 619466 31 69 75.64 5795.23 7.3 502282 619528 49 62 79.03 5874.25 7.203 502214 619580 68 52 85.60 5959.86 5.403 502175 619643 39 63 74.09 6033.95 4.923 502136 619711 39 68 78.39 6112.34 4.736 502130 619775 6 64 64.28 6176.62 4.416 502124 619870 6 95 95.19 6271.81 4.763 502115 619944 9 74 74.55 6346.36 5.203 502092 619984 5.601 502094 620068 5.719 502070 620142 6.097 502035 620211 6.334 501970 620234 6.759 501943 620254 6.432 501945 620319 6.032 501951 620371 5.818 501968 620442 6.126 501996 620519 6.146 502045 620580 6.303 502089 620646 6.364 502123 620709 6.503 502120 620791 6.442 502140 620875 6.782 502168 620970 5.812 502191 621034 6.182 502222 621128 6.061 502250 621216 5.297 502179 621305 5.882 502130 621358 5.992 502030 621368 5.528 501987 621374 6.25 501813 621423 6.31 501731 621437 6.165 501634 621454 5.803 501564 621452 6.918 501457 621418 6.788 501376 621405 6.083 501305 621340 5.909 501243 621295 6.326 501178 621257 6.486

Page 106 September 2013 B3 Surveys & Field Visits

Easting Northing delta east delta north station distance Profile with RL 501111 621221 6.286 501020 621202 7.319 500973 621233 7.545 500920 621231 7.68 500892 621221 7.535 500802 621260 7.061 500723 621272 6.641 500631 621281 6.266 500540 621279 6.451 500478 621288 5.942 500410 621283 6.054 500276 621284 6.011 500176 621252 6.68 500095 621193 6.36 500010 621188 6.683 499944 621211 6.214 499826 621199 5.968 499772 621236 7.018 499637 621359 6.612 499637 621361 6.687 499545 621407 6.362 499440 621356 5.749 499378 621328 6.983 499296 621293 7.493 499210 621247 6.523 499138 621196 5.438 499100 621197 4.424 499039 621282 5.073 499045 621276 4.753 499041 621277 4.078 499038 621278 1.968 498870 621549 6517 498831 621612 6623 498795 621689 7060 498761 621757 7199 498715 621863 7476 498669 621906 7241 498628 621974 7336 498580 622045 7400 498551 622167 7630 498490 622230 8246 498482 622307 7157 498438 622337 6851 498392 622416 6872 498333 622504 7210 498316 622591 7991 498277 622592 8023 498217 622671 7323 498141 622717 7558 498063 622788 7537 498016 622856 7861 497972 622956 7913 497933 623036 8068 497897 623097 7154 497847 623186 7734 497741 623256 7737 497662 623319 7717 497583 623371 7568 497529 623431 7624

Page 107 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing delta east delta north station distance Profile with RL 497440 623493 7544 497367 623536 7740 497295 623587 7696 497238 623633 7741 497163 623698 7544 497079 623776 7539 497029 623842 7871 496987 623877 5641 496917 623882 4465 496883 623897 5586 496877 623932 5169 496808 623997 5734 496718 624030 6069 496610 624080 6476 496508 624107 6554 496384 624135 6446 496284 624169 6207 496181 624205 6118 496052 624199 5920 495935 624223 6054 495833 624253 6162 495722 624292 6375 495625 624306 6210 495521 624290 5529 495412 624288 4734 495362 624279 2079 495365 624294 4778 495315 624362 6025 495212 624382 6045 495095 624409 6106 494984 624418 5942 494885 624442 6057 494763 624465 6185 494638 624491 6185 494525 624509 6247 494395 624535 6326 494309 624547 6461 494196 624566 6631 494115 624560 6562 494001 624566 6665 493885 624580 6684 493777 624592 6819 493692 624609 6779 493586 624603 6711 493468 624622 6663 493380 624627 6837 493299 624625 6688 493212 624649 6781 493087 624643 7004 492986 624616 6166 492983 624603 2081 492982 624611 5058 492986 624616 6166 492995 624665 7009 492979 624748 6783 492953 624825 7869 492920 624897 7488 492898 624977 8668 492902 624981 9108

Page 108 September 2013 B3 Surveys & Field Visits

Easting Northing delta east delta north station distance Profile with RL 492908 625021 8023

Profile with RL 10

5 Profile with RL 4

0 0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00

Figure 3-5: Left Bank of Harirampur- Dohar

Page 109 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

3.6 Surveyed Flood Plain Line showing on Google Earth

Figure 3-6: Surveyed Flood Plain Line showing on Google Earth.

Page 110 September 2013 B3 Surveys & Field Visits

4 Embankment Survey

Figure 4-1: Alignment Track from Aricha to Jionpur

Page 111 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Figure 4-2: Alignment Track from Mawa Chowrasta to Paturia

4.1 List of Culverts & Bridges

Sl. No. Easting Northing Description of Bridge/Culvert & Khal. Picture No. Box Culvert (Alamin Bridge) on Noyabarir Khal at village: 1 520870 601197 340, 341 North Kamargaon, Upazila: Shrinagar Box Culvert (Alamin Bazar Bridge) on Noyabarir Khal at 2 520593 601315 344-346 village: North Kamargaon, Upazila: Shrinagar 520024 602004 Bridge (Talukder Barir Bridge) on Talukder Barir Khal at 3 348-349 520022 602024 village: Bagra, Upazila: Srinagar 519147 602396 Bridge (Barsha Khola Bridge) on Bagra Shain Pukur Khal 4 350-352 519117 602419 at village: Barsha Khola, Upazila: Shrinagar. 518566 602841 Bridge (Shain Pukur Teen Dokan Bridge) on Bagra Shine 5 353-355 518524 602837 Pukur Khal at village: Shain Pukur, Upazila: Dohar. 515311 606141 Narisha 05 Vent Regulator on Narisha Khal at village: 6 356-357 515336 606139 Narisha, Upazila: Dohar. 514068 609230 Bridge (Dohar Bazar Bridge) on Sutarpara Khal, Dohar 7 361-363 514051 609272 Bazar under Dohar Upazila. 511988 611531 Bridge (Nota Khola Bridge) on Joypara at village: Joypara, 8 364-367 511910 611636 Upazila: Dohar. 9 504289 614600 Broken Embankment at village: Doyair, Upazila: Dohar. 368-371

Page 112 September 2013 B3 Surveys & Field Visits

504282 614613 505353 620056 Titpaldia 02 Vent Regulator on Krishnakhali Khal at 10 505349 620056 376-377 village: Kalyansri, Upazila: Nowababganj. 505356 620054 500707 626190 Bridge (Pipuliar Bridge) on agri land at village: Pipulia, 11 383-385 500661 626184 Upazila: Horirampur, District: Manikgonj. 499628 626286 Bridge (Kantapara Bridge) on Ichamoti River at village: 12 386-388 499561 626270 Kantapara, Upazila: Horirampur, District: Manikgonj. 499274 625830 Bridge (East Jatrapur Bridge) on agri land at village: 13 389-391 499257 625803 Jatrapur, Upazila: Horirampur, District: Manikgonj. 498744 625954 Bridge (Jatrapur Bridge) on agri land at village: Jatrapur, 14 392-394 498692 625947 Upazila: Horirampur, District: Manikgonj. 497687 626345 Bridge (Lesragonj Bridge) on Ichamoti River at village: 15 395-398 497629 626429 Lesragonj, Upazila: Horirampur, District: Manikgonj. 495867 627307 Bridge (Diyabari Bridge) on Diyabari khal at village: 16 399-401 495803 627319 Diyabari, Upazila: Horirampur, District: Manikgonj. 493113 628273 Bridge (kadomtola Bridge) on Kodamtola khal at village: 17 402-404 493096 628277 Nilambaida, Upazila: Horirampur, District: Manikgonj. 491099 628750 Bridge (Jhitka Bridge) on Ichamoti River at village: Jhitka, 18 405-407 491058 628747 Upazila: Horirampur, District: Manikgonj. 490249 628799 Bridge (Poddar Para Bridge) on Poddar Para khal at village: 19 408-410 490202 628806 Poddar Para, Upazila: Horirampur, District: Manikgonj. 489529 628946 Bridge (Saibari Bridge) on agri land at village: Saibari, 20 411-413 489512 628945 Upazila: Horirampur, District: Manikgonj. 485307 628930 Bridge (Machain Bridge) on Machain khal at village: 21 415-416 485299 628947 Machain, Upazila: Horirampur, District: Manikgonj. 485132 629331 Bridge (Machain Bridge) on Machain khal at village: 22 417-419 485115 629330 Machain, Upazila: Horirampur, District: Manikgonj. 484208 630116 Bridge (Khanpur Bridge) on Khanpur khal at village: 23 420-422 484203 630124 Khanpur, Upazila: Shibaloy, District: Manikgonj. 483227 631299 Box Culvert (Nilgram culvert) on Nilgram khal at village: 24 423-425 483227 631302 Nilgram, Upazila: Shibaloy, District: Manikgonj. 483026 631476 Bridge (Rupsha Bridge) on Rupsha khal at village: 25 426-428 483007 631471 Rupsha, Upazila: Shibaloy, District: Manikgonj. 482434 631364 Bridge (Dorikoyra Bridge) on Dorikoyra khal at village: 26 429-431 482427 631359 Dorikoyra, Upazila: Shibaloy, District: Manikgonj. 481938 631378 Bridge (Nalir Bridge) on Ichamoti khal at village: 27 432-433 481872 631350 Dorikoyra, Upazila: Shibaloy, District: Manikgonj.

Page 113 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

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Page 115 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Page 116 September 2013 B3 Surveys

Photographs

Page 117 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Page 118 September 2013 B3 Surveys

Sl No.-1

Looking South

Box Culvert (Alamin Bridge) on Noyabarir Khal at village: North Kamargaon, Upazila: Shrinagar

E 520870 N 601197

Looking North

Looking West Sl No.-2

Page 119 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Box Culvert (Alamin Bazar Bridge) on Noyabarir Khal at village: North Kamargaon, Upazila: Shrinagar

E 520593 N 601315

Looking North

Looking West

Sl No.-3

Page 120 September 2013 B3 Surveys

Bridge (Talukder Barir Bridge) on Talukder Barir Khal at village: Bagra, Upazila: Srinagar Looking South E 520024 N 602004 E 520022 N 602024

Looking North

Page 121 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Sl No.-4

Looking South

Bridge (Barsha Khola Bridge) on Bagra Shain Pukur Khal at village: Barsha Khola, Upazila: Shrinagar.

E 519147 N 602396 E 519117 N 602419

Looking North

Looking West

Page 122 September 2013 B3 Surveys

Sl No.-5

Looking South

Bridge (Shain Pukur Teen Dokan Bridge) on Bagra Shine Pukur Khal at village: Shain Pukur, Upazila: Dohar.

E 518566 N 602841 E 518524 N 602837

Looking North

Looking West

Page 123 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Sl No.-6

Looking South

Narisha 05 Vent Regulator on Narisha Khal at village: Narisha, Upazila: Dohar.

E 515311 N 606141 E 515336 N 606139

Looking North

Looking West

Page 124 September 2013 B3 Surveys

Sl No.-7

Looking South

Bridge (Dohar Bazar Bridge) on Sutarpara Khal, Dohar Bazar under Dohar Upazila.

E 514068 N 609230 E 514051 N 609272

Looking North

Looking West

Page 125 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Sl No.-8

Looking South

Bridge (Nota Khola Bridge) on Joypara at village: Joypara, Upazila: Dohar.

E 511988 N 611531 E 511910 N 611636

Looking North

Looking West

Page 126 September 2013 B3 Surveys

Sl No.-9

Looking East

Broken Embankment at village: Doyair, Upazila: Dohar.

E 504289 N 614600 E 504282 N 614613

Looking West

Looking West Sl No.-10

Page 127 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Titpaldia 02 Vent Regulator on Krishnakhali Khal at village: Kalyansri, Upazila: Nowababganj.

E 505353 N 620056 E 505349 N 620056 E 505356 N 620054

Looking North

Looking West

Sl No.-11

Page 128 September 2013 B3 Surveys

Looking South

Bridge (Pipuliar Bridge) on agri land at village: Pipulia, Upazila: Horirampur, District: Manikgonj.

E 500707 N 626190 E 500661 N 626184

Looking North

Looking West

Sl No.-12

Page 129 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Kantapara Bridge) on Ichamoti River at village: Kantapara, Upazila: Horirampur, District: Manikgonj.

E 499628 N 626286 E 499561 N 626270

Looking North

Looking West

Sl No.-13

Page 130 September 2013 B3 Surveys

Looking South

Bridge (East Jatrapur Bridge) on agri land at village: Jatrapur, Upazila: Horirampur, District: Manikgonj.

E 499274 N 625830 E 499257 N 625803

Looking North

Looking West Sl No.-14

Page 131 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Jatrapur Bridge) on agri land at village: Jatrapur, Upazila: Horirampur, District: Manikgonj.

E 498744 N 625954 E 498692 N 625947

Looking North

Looking West Sl No.-15

Page 132 September 2013 B3 Surveys

Looking South

Bridge (Lesragonj Bridge) on Ichamoti River at village: Lesragonj, Upazila: Horirampur, District: Manikgonj.

E 497687 N 626345 E 497629 N 626429

Looking North

Looking West

Sl No.-16

Page 133 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Diyabari Bridge) on Diyabari khal at village: Diyabari, Upazila: Horirampur, District: Manikgonj.

E 495867 N 627307 E 495803 N 627319

Looking North

Looking West Sl No.-17

Page 134 September 2013 B3 Surveys

Looking South

Bridge (kadomtola Bridge) on Kodamtola khal at village: Nilambaida, Upazila: Horirampur, District: Manikgonj.

E 493113 N 628273 E 493096 N 628277

Looking North

Looking West Sl No.-18

Page 135 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Jhitka Bridge) on Ichamoti River at village: Jhitka, Upazila: Horirampur, District: Manikgonj.

E 491099 N 628750 E 491058 N 628747

Looking North

Looking West Sl No.-19

Page 136 September 2013 B3 Surveys

Looking South

Bridge (Poddar Para Bridge) on Poddar Para khal at village: Poddar Para, Upazila: Horirampur, District: Manikgonj.

E 490249 N 628799 E 490202 N 628806

Looking North

Looking West Sl No.-20

Page 137 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Saibari Bridge) on agri land at village: Saibari, Upazila: Horirampur, District: Manikgonj.

E 489529 N 628946 E 489512 N 628945

Looking North

Looking West Sl No.-21

Page 138 September 2013 B3 Surveys

Looking South

Bridge (Machain Bridge) on Machain khal at village: Machain, Upazila: Horirampur, District: Manikgonj.

E 485307 N 628930 E 485299 N 628947

Looking North

Looking West Sl No.-22

Page 139 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Machain Bridge) on Machain khal at village: Machain, Upazila: Horirampur, District: Manikgonj.

E 485132 N 629331 E 485115 N 629330

Looking North

Looking West Sl No.-23

Page 140 September 2013 B3 Surveys

Looking South

Bridge (Khanpur Bridge) on Khanpur khal at village: Khanpur, Upazila: Shibaloy, District: Manikgonj.

E 484208 N 630116 E 484203 N 630124

Looking North

Looking West Sl No.-24

Page 141 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Box Culvert (Nilgram culvert) on Nilgram khal at village: Nilgram, Upazila: Shibaloy, District: Manikgonj.

E 483227 N 631299 E 483227 N 631302

Looking North

Looking West Sl No.-25

Page 142 September 2013 B3 Surveys

Looking South

Bridge (Rupsha Bridge) on Rupsha khal at village: Rupsha, Upazila: Shibaloy, District: Manikgonj.

E 483026 N 631476 E 483007 N 631471

Looking North

Looking West Sl No.-26

Page 143 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Looking South

Bridge (Dorikoyra Bridge) on Dorikoyra khal at village: Dorikoyra, Upazila: Shibaloy, District: Manikgonj.

E 482434 N 631364 E 482427 N 631359

Looking North

Looking West Sl No.-27

Page 144 September 2013 B3 Surveys

Looking South

Bridge (Nalir Bridge) on Ichamoti khal at village: Dorikoyra, Upazila: Shibaloy, District: Manikgonj.

E 481938 N 631378 E 481872 N 631350

Looking North

Looking West

Page 145 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

5 JRB-1 Kaijuri to Verakhola level of Walkway survey along river bank 5.1 Walkway RL Survey 02-05-2011

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 469321 673500 10.59 469302 673460 10.37 469287 673413 9.99 469256 673366 10.14 469319 673500 10.59 469300 673460 10.37 469285 673413 9.99 469254 673366 10.14 469339 673500 2.50 469320 673460 2.50 469303 673413 2.50 469273 673366 2.50 469341 673500 2.50 469322 673460 2.50 469305 673413 2.50 469275 673366 2.50 469320 673498 10.57 469301 673457 10.35 469285 673412 10.32 469254 673363 10.17 469318 673498 10.57 469299 673457 10.35 469283 673412 10.32 469252 673363 10.17 469338 673498 2.50 469319 673457 2.50 469303 673412 2.50 469271 673363 2.50 469340 673498 2.50 469321 673457 2.50 469305 673412 2.50 469273 673363 2.50 469318 673496 10.54 469300 673454 10.32 469284 673409 10.36 469252 673360 10.21 469316 673496 10.54 469298 673454 10.32 469282 673409 10.36 469250 673360 10.21 469337 673496 2.50 469318 673454 2.50 469301 673409 2.50 469269 673360 2.50 469339 673496 2.50 469320 673454 2.50 469303 673409 2.50 469271 673360 2.50 469317 673493 10.53 469299 673451 10.26 469282 673406 10.37 469251 673359 10.39 469315 673493 10.53 469297 673451 10.26 469280 673406 10.37 469249 673359 10.39 469335 673493 2.50 469317 673451 2.50 469300 673406 2.50 469269 673359 2.50 469337 673493 2.50 469319 673451 2.50 469302 673406 2.50 469271 673359 2.50 469316 673491 10.52 469298 673447 10.23 469281 673404 10.42 469250 673356 10.43 469314 673491 10.52 469296 673447 10.23 469279 673404 10.42 469248 673356 10.43 469334 673491 2.50 469316 673447 2.50 469298 673404 2.50 469267 673356 2.50 469336 673491 2.50 469318 673447 2.50 469300 673404 2.50 469269 673356 2.50 469314 673488 10.49 469298 673444 10.25 469278 673401 10.25 469248 673354 10.42 469312 673488 10.49 469296 673444 10.25 469276 673401 10.25 469246 673354 10.42 469332 673488 2.50 469315 673444 2.50 469296 673401 2.50 469266 673354 2.50 469334 673488 2.50 469317 673444 2.50 469298 673401 2.50 469268 673354 2.50 469313 673486 10.48 469297 673441 10.17 469276 673397 10.29 469246 673352 10.41 469311 673486 10.48 469295 673441 10.17 469274 673397 10.29 469244 673352 10.41 469331 673486 2.50 469314 673441 2.50 469294 673397 2.50 469264 673352 2.50 469333 673486 2.50 469316 673441 2.50 469296 673397 2.50 469266 673352 2.50 469312 673483 10.49 469296 673438 10.22 469274 673394 10.29 469244 673349 10.39 469310 673483 10.49 469294 673438 10.22 469272 673394 10.29 469242 673349 10.39 469330 673483 2.50 469313 673438 2.50 469292 673394 2.50 469262 673349 2.50 469332 673483 2.50 469315 673438 2.50 469294 673394 2.50 469264 673349 2.50 469310 673480 10.52 469295 673435 10.13 469272 673390 10.31 469242 673346 10.39 469308 673480 10.52 469293 673435 10.13 469270 673390 10.31 469240 673346 10.39 469328 673480 2.50 469312 673435 2.50 469289 673390 2.50 469260 673346 2.50 469330 673480 2.50 469314 673435 2.50 469291 673390 2.50 469262 673346 2.50 469309 673477 10.54 469294 673432 10.09 469269 673386 10.23 469240 673343 10.40 469307 673477 10.54 469292 673432 10.09 469267 673386 10.23 469238 673343 10.40 469327 673477 2.50 469311 673432 2.50 469286 673386 2.50 469258 673343 2.50 469329 673477 2.50 469313 673432 2.50 469288 673386 2.50 469260 673343 2.50 469307 673475 10.52 469293 673429 10.09 469267 673383 10.17 469239 673340 10.42 469305 673475 10.52 469291 673429 10.09 469265 673383 10.17 469237 673340 10.42 469326 673475 2.50 469310 673429 2.50 469284 673383 2.50 469256 673340 2.50 469328 673475 2.50 469312 673429 2.50 469286 673383 2.50 469258 673340 2.50 469306 673472 10.50 469292 673425 10.07 469265 673379 10.14 469237 673337 10.39 469304 673472 10.50 469290 673425 10.07 469263 673379 10.14 469235 673337 10.39 469324 673472 2.50 469309 673425 2.50 469282 673379 2.50 469254 673337 2.50 469326 673472 2.50 469311 673425 2.50 469284 673379 2.50 469256 673337 2.50 469305 673469 10.55 469291 673422 10.05 469262 673376 10.09 469234 673334 10.36 469303 673469 10.55 469289 673422 10.05 469260 673376 10.09 469232 673334 10.36 469323 673469 2.50 469308 673422 2.50 469279 673376 2.50 469252 673334 2.50 469325 673469 2.50 469310 673422 2.50 469281 673376 2.50 469254 673334 2.50 469304 673466 10.51 469289 673418 10.03 469260 673372 10.06 469232 673331 10.32 469302 673466 10.51 469287 673418 10.03 469258 673372 10.06 469230 673331 10.32 469322 673466 2.50 469306 673418 2.50 469277 673372 2.50 469250 673331 2.50 469324 673466 2.50 469308 673418 2.50 469279 673372 2.50 469252 673331 2.50 469303 673463 10.43 469288 673415 10.03 469258 673369 10.12 469230 673328 10.28 469301 673463 10.43 469286 673415 10.03 469256 673369 10.12 469228 673328 10.28 469321 673463 2.50 469305 673415 2.50 469275 673369 2.50 469248 673328 2.50 469323 673463 2.50 469307 673415 2.50 469277 673369 2.50 469250 673328 2.50

Page 146 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 469229 673326 10.24 469203 673286 9.71 469173 673241 10.73 469148 673196 10.58 469227 673326 10.24 469201 673286 9.71 469171 673241 10.73 469146 673196 10.58 469246 673326 2.50 469219 673286 2.50 469192 673241 2.50 469166 673196 2.50 469248 673326 2.50 469221 673286 2.50 469194 673241 2.50 469168 673196 2.50 469228 673325 10.19 469201 673283 9.92 469171 673238 10.70 469146 673193 10.61 469226 673325 10.19 469199 673283 9.92 469169 673238 10.70 469144 673193 10.61 469245 673325 2.50 469218 673283 2.50 469190 673238 2.50 469165 673193 2.50 469247 673325 2.50 469220 673283 2.50 469192 673238 2.50 469167 673193 2.50 469227 673323 9.93 469199 673280 10.01 469170 673235 10.68 469145 673190 10.60 469225 673323 9.93 469197 673280 10.01 469168 673235 10.68 469143 673190 10.60 469244 673323 2.50 469216 673280 2.50 469188 673235 2.50 469163 673190 2.50 469246 673323 2.50 469218 673280 2.50 469190 673235 2.50 469165 673190 2.50 469225 673320 9.78 469197 673276 10.10 469168 673232 10.68 469143 673187 10.63 469223 673320 9.78 469195 673276 10.10 469166 673232 10.68 469141 673187 10.63 469241 673320 2.50 469214 673276 2.50 469187 673232 2.50 469161 673187 2.50 469243 673320 2.50 469216 673276 2.50 469189 673232 2.50 469163 673187 2.50 469223 673317 9.67 469195 673273 10.16 469167 673229 10.70 469141 673185 10.65 469221 673317 9.67 469193 673273 10.16 469165 673229 10.70 469139 673185 10.65 469239 673317 2.50 469212 673273 2.50 469185 673229 2.50 469160 673185 2.50 469241 673317 2.50 469214 673273 2.50 469187 673229 2.50 469162 673185 2.50 469221 673314 9.57 469193 673270 10.18 469165 673227 10.68 469139 673182 10.68 469219 673314 9.57 469191 673270 10.18 469163 673227 10.68 469137 673182 10.68 469237 673314 2.50 469210 673270 2.50 469183 673227 2.50 469158 673182 2.50 469239 673314 2.50 469212 673270 2.50 469185 673227 2.50 469160 673182 2.50 469220 673311 9.51 469190 673266 10.27 469163 673224 10.68 469138 673179 10.68 469218 673311 9.51 469188 673266 10.27 469161 673224 10.68 469136 673179 10.68 469235 673311 2.50 469207 673266 2.50 469182 673224 2.50 469156 673179 2.50 469237 673311 2.50 469209 673266 2.50 469184 673224 2.50 469158 673179 2.50 469218 673308 9.41 469188 673263 10.30 469162 673221 10.62 469136 673176 10.68 469216 673308 9.41 469186 673263 10.30 469160 673221 10.62 469134 673176 10.68 469233 673308 2.50 469205 673263 2.50 469180 673221 2.50 469155 673176 2.50 469235 673308 2.50 469207 673263 2.50 469182 673221 2.50 469157 673176 2.50 469216 673305 9.43 469186 673261 10.54 469160 673217 10.57 469135 673174 10.67 469214 673305 9.43 469184 673261 10.54 469158 673217 10.57 469133 673174 10.67 469231 673305 2.50 469204 673261 2.50 469178 673217 2.50 469153 673174 2.50 469233 673305 2.50 469206 673261 2.50 469180 673217 2.50 469155 673174 2.50 469215 673303 9.44 469184 673258 10.57 469158 673214 10.50 469133 673171 10.62 469213 673303 9.44 469182 673258 10.57 469156 673214 10.50 469131 673171 10.62 469230 673303 2.50 469203 673258 2.50 469176 673214 2.50 469152 673171 2.50 469232 673303 2.50 469205 673258 2.50 469178 673214 2.50 469154 673171 2.50 469213 673300 9.44 469182 673255 10.64 469157 673211 10.50 469132 673168 10.62 469211 673300 9.44 469180 673255 10.64 469155 673211 10.50 469130 673168 10.62 469228 673300 2.50 469200 673255 2.50 469175 673211 2.50 469150 673168 2.50 469230 673300 2.50 469202 673255 2.50 469177 673211 2.50 469152 673168 2.50 469211 673297 9.40 469180 673252 10.64 469155 673208 10.51 469130 673165 10.53 469209 673297 9.40 469178 673252 10.64 469153 673208 10.51 469128 673165 10.53 469226 673297 2.50 469199 673252 2.50 469173 673208 2.50 469148 673165 2.50 469228 673297 2.50 469201 673252 2.50 469175 673208 2.50 469150 673165 2.50 469209 673294 9.44 469178 673249 10.73 469153 673206 10.51 469128 673162 10.48 469207 673294 9.44 469176 673249 10.73 469151 673206 10.51 469126 673162 10.48 469224 673294 2.50 469197 673249 2.50 469171 673206 2.50 469146 673162 2.50 469226 673294 2.50 469199 673249 2.50 469173 673206 2.50 469148 673162 2.50 469207 673291 9.53 469177 673247 10.73 469152 673202 10.56 469127 673159 10.47 469205 673291 9.53 469175 673247 10.73 469150 673202 10.56 469125 673159 10.47 469223 673291 2.50 469195 673247 2.50 469170 673202 2.50 469145 673159 2.50 469225 673291 2.50 469197 673247 2.50 469172 673202 2.50 469147 673159 2.50 469205 673288 9.68 469175 673243 10.74 469150 673199 10.56 469126 673157 10.41 469203 673288 9.68 469173 673243 10.74 469148 673199 10.56 469124 673157 10.41 469221 673288 2.50 469193 673243 2.50 469168 673199 2.50 469144 673157 2.50 469223 673288 2.50 469195 673243 2.50 469170 673199 2.50 469146 673157 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 469124 673155 10.16 469107 673111 9.33 469097 673066 9.05 469071 673022 11.10 469122 673155 10.16 469105 673111 9.33 469095 673066 9.05 469069 673022 11.10 469142 673155 2.50 469122 673111 2.50 469112 673066 2.50 469091 673022 2.50 469144 673155 2.50 469124 673111 2.50 469114 673066 2.50 469093 673022 2.50 469123 673152 10.14 469106 673108 9.21 469096 673064 9.09 469070 673019 11.09 469121 673152 10.14 469104 673108 9.21 469094 673064 9.09 469068 673019 11.09 469140 673152 2.50 469121 673108 2.50 469111 673064 2.50 469089 673019 2.50 469142 673152 2.50 469123 673108 2.50 469113 673064 2.50 469091 673019 2.50 469121 673149 10.09 469106 673105 9.06 469095 673062 9.16 469068 673016 11.10 469119 673149 10.09 469104 673105 9.06 469093 673062 9.16 469066 673016 11.10 469138 673149 2.50 469120 673105 2.50 469110 673062 2.50 469088 673016 2.50 469140 673149 2.50 469122 673105 2.50 469112 673062 2.50 469090 673016 2.50 469120 673147 10.04 469105 673101 9.00 469093 673059 9.30 469067 673014 11.12 469118 673147 10.04 469103 673101 9.00 469091 673059 9.30 469065 673014 11.12 469137 673147 2.50 469120 673101 2.50 469108 673059 2.50 469087 673014 2.50 469139 673147 2.50 469122 673101 2.50 469110 673059 2.50 469089 673014 2.50 469118 673143 9.94 469105 673098 8.97 469091 673056 9.47 469066 673011 11.17 469116 673143 9.94 469103 673098 8.97 469089 673056 9.47 469064 673011 11.17 469135 673143 2.50 469119 673098 2.50 469107 673056 2.50 469085 673011 2.50 469137 673143 2.50 469121 673098 2.50 469109 673056 2.50 469087 673011 2.50 469117 673140 9.92 469104 673095 8.97 469089 673054 9.74 469065 673009 11.17 469115 673140 9.92 469102 673095 8.97 469087 673054 9.74 469063 673009 11.17 469133 673140 2.50 469118 673095 2.50 469106 673054 2.50 469084 673009 2.50 469135 673140 2.50 469120 673095 2.50 469108 673054 2.50 469086 673009 2.50 469115 673137 10.09 469104 673091 8.97 469085 673049 10.51 469064 673006 11.00 469113 673137 10.09 469102 673091 8.97 469083 673049 10.51 469062 673006 11.00 469132 673137 2.50 469118 673091 2.50 469103 673049 2.50 469083 673006 2.50 469134 673137 2.50 469120 673091 2.50 469105 673049 2.50 469085 673006 2.50 469114 673134 10.05 469103 673088 8.95 469083 673046 10.72 469062 673003 10.91 469112 673134 10.05 469101 673088 8.95 469081 673046 10.72 469060 673003 10.91 469131 673134 2.50 469117 673088 2.50 469102 673046 2.50 469081 673003 2.50 469133 673134 2.50 469119 673088 2.50 469104 673046 2.50 469083 673003 2.50 469113 673131 10.01 469103 673085 8.94 469082 673044 10.87 469061 673001 10.79 469111 673131 10.01 469101 673085 8.94 469080 673044 10.87 469059 673001 10.79 469130 673131 2.50 469117 673085 2.50 469101 673044 2.50 469080 673001 2.50 469132 673131 2.50 469119 673085 2.50 469103 673044 2.50 469082 673001 2.50 469112 673129 9.99 469102 673082 8.95 469080 673040 10.99 469061 672998 10.65 469110 673129 9.99 469100 673082 8.95 469078 673040 10.99 469059 672998 10.65 469128 673129 2.50 469116 673082 2.50 469099 673040 2.50 469079 672998 2.50 469130 673129 2.50 469118 673082 2.50 469101 673040 2.50 469081 672998 2.50 469111 673127 9.98 469102 673079 8.95 469078 673037 11.02 469060 672996 10.70 469109 673127 9.98 469100 673079 8.95 469076 673037 11.02 469058 672996 10.70 469128 673127 2.50 469116 673079 2.50 469098 673037 2.50 469078 672996 2.50 469130 673127 2.50 469118 673079 2.50 469100 673037 2.50 469080 672996 2.50 469110 673124 9.93 469101 673077 8.97 469077 673034 11.06 469059 672993 10.70 469108 673124 9.93 469099 673077 8.97 469075 673034 11.06 469057 672993 10.70 469126 673124 2.50 469115 673077 2.50 469096 673034 2.50 469077 672993 2.50 469128 673124 2.50 469117 673077 2.50 469098 673034 2.50 469079 672993 2.50 469109 673121 9.84 469100 673074 8.95 469075 673031 11.06 469058 672991 10.67 469107 673121 9.84 469098 673074 8.95 469073 673031 11.06 469056 672991 10.67 469125 673121 2.50 469115 673074 2.50 469095 673031 2.50 469076 672991 2.50 469127 673121 2.50 469117 673074 2.50 469097 673031 2.50 469078 672991 2.50 469108 673118 9.68 469100 673071 8.98 469074 673028 11.06 469056 672988 10.71 469106 673118 9.68 469098 673071 8.98 469072 673028 11.06 469054 672988 10.71 469124 673118 2.50 469114 673071 2.50 469093 673028 2.50 469075 672988 2.50 469126 673118 2.50 469116 673071 2.50 469095 673028 2.50 469077 672988 2.50 469107 673115 9.47 469098 673069 9.01 469073 673025 11.09 469054 672983 10.65 469105 673115 9.47 469096 673069 9.01 469071 673025 11.09 469052 672983 10.65 469123 673115 2.50 469113 673069 2.50 469092 673025 2.50 469072 672983 2.50 469125 673115 2.50 469115 673069 2.50 469094 673025 2.50 469074 672983 2.50

Page 148 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 469053 672981 10.60 469007 672944 10.27 468990 672902 10.14 468965 672858 10.38 469051 672981 10.60 469005 672944 10.27 468988 672902 10.14 468963 672858 10.38 469071 672981 2.50 469024 672944 2.50 469007 672902 2.50 468983 672858 2.50 469073 672981 2.50 469026 672944 2.50 469009 672902 2.50 468985 672858 2.50 469050 672978 10.68 469006 672942 10.24 468988 672899 10.16 468963 672855 10.41 469048 672978 10.68 469004 672942 10.24 468986 672899 10.16 468961 672855 10.41 469069 672978 2.50 469023 672942 2.50 469005 672899 2.50 468981 672855 2.50 469071 672978 2.50 469025 672942 2.50 469007 672899 2.50 468983 672855 2.50 469048 672976 10.70 469004 672939 10.23 468987 672896 10.18 468961 672852 10.46 469046 672976 10.70 469002 672939 10.23 468985 672896 10.18 468959 672852 10.46 469067 672976 2.50 469022 672939 2.50 469004 672896 2.50 468979 672852 2.50 469069 672976 2.50 469024 672939 2.50 469006 672896 2.50 468981 672852 2.50 469046 672974 10.82 469003 672936 10.23 468985 672893 10.19 468960 672850 10.48 469044 672974 10.82 469001 672936 10.23 468983 672893 10.19 468958 672850 10.48 469064 672974 2.50 469020 672936 2.50 469003 672893 2.50 468978 672850 2.50 469066 672974 2.50 469022 672936 2.50 469005 672893 2.50 468980 672850 2.50 469043 672972 10.78 469002 672933 10.20 468984 672891 10.21 468958 672847 10.50 469041 672972 10.78 469000 672933 10.20 468982 672891 10.21 468956 672847 10.50 469062 672972 2.50 469019 672933 2.50 469001 672891 2.50 468976 672847 2.50 469064 672972 2.50 469021 672933 2.50 469003 672891 2.50 468978 672847 2.50 469040 672971 10.72 469001 672930 10.06 468982 672888 10.22 468956 672844 10.47 469038 672971 10.72 468999 672930 10.06 468980 672888 10.22 468954 672844 10.47 469059 672971 2.50 469017 672930 2.50 469000 672888 2.50 468974 672844 2.50 469061 672971 2.50 469019 672930 2.50 469002 672888 2.50 468976 672844 2.50 469037 672969 10.64 469000 672928 10.02 468981 672885 10.25 468955 672841 10.45 469035 672969 10.64 468998 672928 10.02 468979 672885 10.25 468953 672841 10.45 469056 672969 2.50 469017 672928 2.50 468998 672885 2.50 468972 672841 2.50 469058 672969 2.50 469019 672928 2.50 469000 672885 2.50 468974 672841 2.50 469025 672962 10.61 468999 672925 9.99 468979 672882 10.27 468953 672838 10.43 469023 672962 10.61 468997 672925 9.99 468977 672882 10.27 468951 672838 10.43 469043 672962 2.50 469016 672925 2.50 468997 672882 2.50 468970 672838 2.50 469045 672962 2.50 469018 672925 2.50 468999 672882 2.50 468972 672838 2.50 469022 672960 10.63 468998 672922 9.97 468977 672878 10.25 468951 672836 10.45 469020 672960 10.63 468996 672922 9.97 468975 672878 10.25 468949 672836 10.45 469040 672960 2.50 469014 672922 2.50 468995 672878 2.50 468969 672836 2.50 469042 672960 2.50 469016 672922 2.50 468997 672878 2.50 468971 672836 2.50 469019 672959 10.72 468997 672920 9.99 468976 672875 10.27 468949 672833 10.45 469017 672959 10.72 468995 672920 9.99 468974 672875 10.27 468947 672833 10.45 469037 672959 2.50 469014 672920 2.50 468993 672875 2.50 468967 672833 2.50 469039 672959 2.50 469016 672920 2.50 468995 672875 2.50 468969 672833 2.50 469016 672957 10.69 468996 672918 10.19 468974 672872 10.31 468947 672830 10.43 469014 672957 10.69 468994 672918 10.19 468972 672872 10.31 468945 672830 10.43 469035 672957 2.50 469013 672918 2.50 468992 672872 2.50 468965 672830 2.50 469037 672957 2.50 469015 672918 2.50 468994 672872 2.50 468967 672830 2.50 469014 672954 10.70 468995 672915 10.17 468972 672869 10.36 468945 672827 10.16 469012 672954 10.70 468993 672915 10.17 468970 672869 10.36 468943 672827 10.16 469032 672954 2.50 469012 672915 2.50 468990 672869 2.50 468962 672827 2.50 469034 672954 2.50 469014 672915 2.50 468992 672869 2.50 468964 672827 2.50 469012 672952 10.55 468994 672912 10.16 468971 672867 10.40 468943 672824 10.08 469010 672952 10.55 468992 672912 10.16 468969 672867 10.40 468941 672824 10.08 469030 672952 2.50 469011 672912 2.50 468988 672867 2.50 468960 672824 2.50 469032 672952 2.50 469013 672912 2.50 468990 672867 2.50 468962 672824 2.50 469010 672950 10.41 468992 672909 10.13 468969 672864 10.40 468941 672822 10.06 469008 672950 10.41 468990 672909 10.13 468967 672864 10.40 468939 672822 10.06 469028 672950 2.50 469009 672909 2.50 468987 672864 2.50 468958 672822 2.50 469030 672950 2.50 469011 672909 2.50 468989 672864 2.50 468960 672822 2.50 469009 672947 10.35 468991 672905 10.11 468967 672861 10.39 468940 672819 10.04 469007 672947 10.35 468989 672905 10.11 468965 672861 10.39 468938 672819 10.04 469026 672947 2.50 469008 672905 2.50 468985 672861 2.50 468957 672819 2.50 469028 672947 2.50 469010 672905 2.50 468987 672861 2.50 468959 672819 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468938 672816 10.03 468910 672775 10.53 468881 672734 10.51 468847 672686 9.98 468936 672816 10.03 468908 672775 10.53 468879 672734 10.51 468845 672686 9.98 468955 672816 2.50 468928 672775 2.50 468899 672734 2.50 468864 672686 2.50 468957 672816 2.50 468930 672775 2.50 468901 672734 2.50 468866 672686 2.50 468936 672814 10.05 468908 672772 10.54 468878 672730 10.43 468845 672683 9.88 468934 672814 10.05 468906 672772 10.54 468876 672730 10.43 468843 672683 9.88 468952 672814 2.50 468926 672772 2.50 468895 672730 2.50 468862 672683 2.50 468954 672814 2.50 468928 672772 2.50 468897 672730 2.50 468864 672683 2.50 468934 672811 10.07 468907 672770 10.54 468876 672729 10.61 468844 672681 9.74 468932 672811 10.07 468905 672770 10.54 468874 672729 10.61 468842 672681 9.74 468951 672811 2.50 468925 672770 2.50 468895 672729 2.50 468860 672681 2.50 468953 672811 2.50 468927 672770 2.50 468897 672729 2.50 468862 672681 2.50 468933 672810 10.30 468905 672767 10.54 468874 672726 10.61 468842 672678 9.82 468931 672810 10.30 468903 672767 10.54 468872 672726 10.61 468840 672678 9.82 468950 672810 2.50 468923 672767 2.50 468893 672726 2.50 468858 672678 2.50 468952 672810 2.50 468925 672767 2.50 468895 672726 2.50 468860 672678 2.50 468931 672807 10.32 468903 672765 10.50 468873 672724 10.62 468840 672676 9.91 468929 672807 10.32 468901 672765 10.50 468871 672724 10.62 468838 672676 9.91 468949 672807 2.50 468921 672765 2.50 468891 672724 2.50 468857 672676 2.50 468951 672807 2.50 468923 672765 2.50 468893 672724 2.50 468859 672676 2.50 468929 672804 10.27 468902 672762 10.53 468871 672721 10.57 468839 672674 10.11 468927 672804 10.27 468900 672762 10.53 468869 672721 10.57 468837 672674 10.11 468947 672804 2.50 468920 672762 2.50 468889 672721 2.50 468856 672674 2.50 468949 672804 2.50 468922 672762 2.50 468891 672721 2.50 468858 672674 2.50 468927 672801 10.27 468900 672760 10.65 468868 672717 10.54 468838 672671 10.18 468925 672801 10.27 468898 672760 10.65 468866 672717 10.54 468836 672671 10.18 468945 672801 2.50 468918 672760 2.50 468886 672717 2.50 468855 672671 2.50 468947 672801 2.50 468920 672760 2.50 468888 672717 2.50 468857 672671 2.50 468925 672798 10.22 468898 672757 10.67 468866 672714 10.51 468836 672668 10.23 468923 672798 10.22 468896 672757 10.67 468864 672714 10.51 468834 672668 10.23 468943 672798 2.50 468916 672757 2.50 468884 672714 2.50 468853 672668 2.50 468945 672798 2.50 468918 672757 2.50 468886 672714 2.50 468855 672668 2.50 468924 672795 10.21 468896 672754 10.68 468865 672712 10.51 468834 672665 10.32 468922 672795 10.21 468894 672754 10.68 468863 672712 10.51 468832 672665 10.32 468941 672795 2.50 468914 672754 2.50 468883 672712 2.50 468852 672665 2.50 468943 672795 2.50 468916 672754 2.50 468885 672712 2.50 468854 672665 2.50 468921 672792 10.22 468894 672752 10.72 468861 672706 10.43 468832 672662 10.38 468919 672792 10.22 468892 672752 10.72 468859 672706 10.43 468830 672662 10.38 468939 672792 2.50 468912 672752 2.50 468878 672706 2.50 468850 672662 2.50 468941 672792 2.50 468914 672752 2.50 468880 672706 2.50 468852 672662 2.50 468920 672789 10.04 468892 672749 10.62 468858 672703 10.42 468830 672658 10.39 468918 672789 10.04 468890 672749 10.62 468856 672703 10.42 468828 672658 10.39 468936 672789 2.50 468911 672749 2.50 468876 672703 2.50 468848 672658 2.50 468938 672789 2.50 468913 672749 2.50 468878 672703 2.50 468850 672658 2.50 468918 672786 10.12 468890 672747 10.67 468856 672699 10.32 468829 672654 10.42 468916 672786 10.12 468888 672747 10.67 468854 672699 10.32 468827 672654 10.42 468935 672786 2.50 468909 672747 2.50 468873 672699 2.50 468846 672654 2.50 468937 672786 2.50 468911 672747 2.50 468875 672699 2.50 468848 672654 2.50 468916 672784 10.17 468888 672743 10.77 468854 672696 10.23 468827 672651 10.47 468914 672784 10.17 468886 672743 10.77 468852 672696 10.23 468825 672651 10.47 468933 672784 2.50 468906 672743 2.50 468871 672696 2.50 468845 672651 2.50 468935 672784 2.50 468908 672743 2.50 468873 672696 2.50 468847 672651 2.50 468914 672781 10.30 468885 672740 10.67 468852 672693 10.10 468825 672647 10.58 468912 672781 10.30 468883 672740 10.67 468850 672693 10.10 468823 672647 10.58 468931 672781 2.50 468904 672740 2.50 468869 672693 2.50 468844 672647 2.50 468933 672781 2.50 468906 672740 2.50 468871 672693 2.50 468846 672647 2.50 468912 672778 10.42 468883 672737 10.59 468850 672690 10.02 468824 672644 10.63 468910 672778 10.42 468881 672737 10.59 468848 672690 10.02 468822 672644 10.63 468930 672778 2.50 468901 672737 2.50 468867 672690 2.50 468842 672644 2.50 468932 672778 2.50 468903 672737 2.50 468869 672690 2.50 468844 672644 2.50

Page 150 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468823 672641 10.70 468809 672596 10.68 468779 672548 10.71 468755 672504 10.61 468821 672641 10.70 468807 672596 10.68 468777 672548 10.71 468753 672504 10.61 468841 672641 2.50 468827 672596 2.50 468797 672548 2.50 468773 672504 2.50 468843 672641 2.50 468829 672596 2.50 468799 672548 2.50 468775 672504 2.50 468822 672638 10.78 468807 672593 10.68 468777 672545 10.70 468753 672501 10.59 468820 672638 10.78 468805 672593 10.68 468775 672545 10.70 468751 672501 10.59 468840 672638 2.50 468825 672593 2.50 468796 672545 2.50 468772 672501 2.50 468842 672638 2.50 468827 672593 2.50 468798 672545 2.50 468774 672501 2.50 468821 672635 10.98 468805 672590 10.60 468776 672542 10.64 468752 672498 10.61 468819 672635 10.98 468803 672590 10.60 468774 672542 10.64 468750 672498 10.61 468840 672635 2.50 468823 672590 2.50 468794 672542 2.50 468770 672498 2.50 468842 672635 2.50 468825 672590 2.50 468796 672542 2.50 468772 672498 2.50 468820 672632 10.91 468803 672587 10.51 468775 672539 10.61 468751 672496 10.41 468818 672632 10.91 468801 672587 10.51 468773 672539 10.61 468749 672496 10.41 468839 672632 2.50 468821 672587 2.50 468793 672539 2.50 468769 672496 2.50 468841 672632 2.50 468823 672587 2.50 468795 672539 2.50 468771 672496 2.50 468819 672629 10.96 468800 672583 10.43 468773 672536 10.59 468750 672495 10.11 468817 672629 10.96 468798 672583 10.43 468771 672536 10.59 468748 672495 10.11 468838 672629 2.50 468818 672583 2.50 468791 672536 2.50 468767 672495 2.50 468840 672629 2.50 468820 672583 2.50 468793 672536 2.50 468769 672495 2.50 468819 672626 10.94 468798 672581 10.35 468772 672534 10.74 468749 672493 10.09 468817 672626 10.94 468796 672581 10.35 468770 672534 10.74 468747 672493 10.09 468838 672626 2.50 468816 672581 2.50 468790 672534 2.50 468766 672493 2.50 468840 672626 2.50 468818 672581 2.50 468792 672534 2.50 468768 672493 2.50 468818 672622 10.90 468797 672578 10.13 468770 672530 10.68 468748 672491 10.45 468816 672622 10.90 468795 672578 10.13 468768 672530 10.68 468746 672491 10.45 468837 672622 2.50 468814 672578 2.50 468788 672530 2.50 468766 672491 2.50 468839 672622 2.50 468816 672578 2.50 468790 672530 2.50 468768 672491 2.50 468817 672619 10.83 468795 672576 10.11 468768 672527 10.62 468747 672489 10.81 468815 672619 10.83 468793 672576 10.11 468766 672527 10.62 468745 672489 10.81 468836 672619 2.50 468812 672576 2.50 468787 672527 2.50 468766 672489 2.50 468838 672619 2.50 468814 672576 2.50 468789 672527 2.50 468768 672489 2.50 468816 672616 10.75 468793 672573 10.10 468766 672524 10.64 468746 672487 10.99 468814 672616 10.75 468791 672573 10.10 468764 672524 10.64 468744 672487 10.99 468835 672616 2.50 468810 672573 2.50 468785 672524 2.50 468765 672487 2.50 468837 672616 2.50 468812 672573 2.50 468787 672524 2.50 468767 672487 2.50 468815 672613 10.71 468791 672571 10.24 468765 672521 10.61 468744 672484 11.17 468813 672613 10.71 468789 672571 10.24 468763 672521 10.61 468742 672484 11.17 468834 672613 2.50 468808 672571 2.50 468783 672521 2.50 468763 672484 2.50 468836 672613 2.50 468810 672571 2.50 468785 672521 2.50 468765 672484 2.50 468814 672610 10.67 468789 672569 10.44 468763 672518 10.58 468742 672480 11.24 468812 672610 10.67 468787 672569 10.44 468761 672518 10.58 468740 672480 11.24 468833 672610 2.50 468807 672569 2.50 468782 672518 2.50 468762 672480 2.50 468835 672610 2.50 468809 672569 2.50 468784 672518 2.50 468764 672480 2.50 468813 672606 10.62 468787 672566 10.66 468762 672515 10.60 468740 672477 11.39 468811 672606 10.62 468785 672566 10.66 468760 672515 10.60 468738 672477 11.39 468832 672606 2.50 468805 672566 2.50 468780 672515 2.50 468760 672477 2.50 468834 672606 2.50 468807 672566 2.50 468782 672515 2.50 468762 672477 2.50 468812 672603 10.57 468785 672564 11.06 468760 672512 10.62 468738 672474 11.21 468810 672603 10.57 468783 672564 11.06 468758 672512 10.62 468736 672474 11.21 468831 672603 2.50 468805 672564 2.50 468778 672512 2.50 468758 672474 2.50 468833 672603 2.50 468807 672564 2.50 468780 672512 2.50 468760 672474 2.50 468812 672602 10.74 468781 672554 11.02 468758 672509 10.61 468737 672471 11.20 468810 672602 10.74 468779 672554 11.02 468756 672509 10.61 468735 672471 11.20 468830 672602 2.50 468801 672554 2.50 468776 672509 2.50 468757 672471 2.50 468832 672602 2.50 468803 672554 2.50 468778 672509 2.50 468759 672471 2.50 468810 672599 10.74 468780 672551 10.76 468756 672506 10.59 468735 672468 11.18 468808 672599 10.74 468778 672551 10.76 468754 672506 10.59 468733 672468 11.18 468829 672599 2.50 468799 672551 2.50 468775 672506 2.50 468755 672468 2.50 468831 672599 2.50 468801 672551 2.50 468777 672506 2.50 468757 672468 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468734 672465 11.13 468703 672421 11.10 468664 672382 10.92 468624 672344 10.18 468732 672465 11.13 468701 672421 11.10 468662 672382 10.92 468622 672344 10.18 468753 672465 2.50 468723 672421 2.50 468683 672382 2.50 468642 672344 2.50 468755 672465 2.50 468725 672421 2.50 468685 672382 2.50 468644 672344 2.50 468732 672462 11.09 468700 672417 11.07 468662 672380 10.89 468622 672342 10.20 468730 672462 11.09 468698 672417 11.07 468660 672380 10.89 468620 672342 10.20 468751 672462 2.50 468720 672417 2.50 468681 672380 2.50 468639 672342 2.50 468753 672462 2.50 468722 672417 2.50 468683 672380 2.50 468641 672342 2.50 468730 672460 11.09 468698 672414 11.05 468660 672377 10.85 468619 672339 10.22 468728 672460 11.09 468696 672414 11.05 468658 672377 10.85 468617 672339 10.22 468750 672460 2.50 468717 672414 2.50 468679 672377 2.50 468636 672339 2.50 468752 672460 2.50 468719 672414 2.50 468681 672377 2.50 468638 672339 2.50 468728 672457 11.15 468695 672412 10.98 468657 672375 10.84 468616 672336 10.16 468726 672457 11.15 468693 672412 10.98 468655 672375 10.84 468614 672336 10.16 468748 672457 2.50 468714 672412 2.50 468676 672375 2.50 468633 672336 2.50 468750 672457 2.50 468716 672412 2.50 468678 672375 2.50 468635 672336 2.50 468726 672453 11.17 468692 672409 10.92 468654 672373 10.78 468613 672333 10.14 468724 672453 11.17 468690 672409 10.92 468652 672373 10.78 468611 672333 10.14 468746 672453 2.50 468711 672409 2.50 468673 672373 2.50 468630 672333 2.50 468748 672453 2.50 468713 672409 2.50 468675 672373 2.50 468632 672333 2.50 468724 672451 11.20 468690 672406 10.80 468652 672370 10.75 468610 672330 10.07 468722 672451 11.20 468688 672406 10.80 468650 672370 10.75 468608 672330 10.07 468744 672451 2.50 468708 672406 2.50 468671 672370 2.50 468627 672330 2.50 468746 672451 2.50 468710 672406 2.50 468673 672370 2.50 468629 672330 2.50 468722 672448 11.22 468686 672403 10.84 468650 672368 10.68 468607 672327 10.03 468720 672448 11.22 468684 672403 10.84 468648 672368 10.68 468605 672327 10.03 468742 672448 2.50 468705 672403 2.50 468668 672368 2.50 468624 672327 2.50 468744 672448 2.50 468707 672403 2.50 468670 672368 2.50 468626 672327 2.50 468720 672444 11.15 468684 672401 10.76 468647 672366 10.55 468605 672325 10.02 468718 672444 11.15 468682 672401 10.76 468645 672366 10.55 468603 672325 10.02 468740 672444 2.50 468702 672401 2.50 468665 672366 2.50 468621 672325 2.50 468742 672444 2.50 468704 672401 2.50 468667 672366 2.50 468623 672325 2.50 468719 672441 11.14 468681 672398 10.73 468644 672363 10.36 468602 672323 10.01 468717 672441 11.14 468679 672398 10.73 468642 672363 10.36 468600 672323 10.01 468738 672441 2.50 468700 672398 2.50 468662 672363 2.50 468619 672323 2.50 468740 672441 2.50 468702 672398 2.50 468664 672363 2.50 468621 672323 2.50 468716 672437 11.09 468679 672396 10.75 468641 672360 10.25 468600 672320 9.98 468714 672437 11.09 468677 672396 10.75 468639 672360 10.25 468598 672320 9.98 468736 672437 2.50 468697 672396 2.50 468659 672360 2.50 468617 672320 2.50 468738 672437 2.50 468699 672396 2.50 468661 672360 2.50 468619 672320 2.50 468714 672434 11.09 468676 672393 10.75 468639 672358 10.19 468597 672317 10.04 468712 672434 11.09 468674 672393 10.75 468637 672358 10.19 468595 672317 10.04 468734 672434 2.50 468694 672393 2.50 468656 672358 2.50 468613 672317 2.50 468736 672434 2.50 468696 672393 2.50 468658 672358 2.50 468615 672317 2.50 468712 672431 11.06 468673 672391 10.80 468636 672355 10.20 468594 672314 10.01 468710 672431 11.06 468671 672391 10.80 468634 672355 10.20 468592 672314 10.01 468732 672431 2.50 468692 672391 2.50 468653 672355 2.50 468610 672314 2.50 468734 672431 2.50 468694 672391 2.50 468655 672355 2.50 468612 672314 2.50 468710 672428 11.02 468671 672389 10.77 468633 672353 10.23 468590 672311 9.95 468708 672428 11.02 468669 672389 10.77 468631 672353 10.23 468588 672311 9.95 468729 672428 2.50 468690 672389 2.50 468650 672353 2.50 468607 672311 2.50 468731 672428 2.50 468692 672389 2.50 468652 672353 2.50 468609 672311 2.50 468708 672425 11.02 468669 672386 10.72 468630 672350 10.23 468587 672309 9.89 468706 672425 11.02 468667 672386 10.72 468628 672350 10.23 468585 672309 9.89 468727 672425 2.50 468687 672386 2.50 468647 672350 2.50 468604 672309 2.50 468729 672425 2.50 468689 672386 2.50 468649 672350 2.50 468606 672309 2.50 468706 672423 11.10 468666 672383 10.76 468627 672347 10.22 468584 672306 9.86 468704 672423 11.10 468664 672383 10.76 468625 672347 10.22 468582 672306 9.86 468725 672423 2.50 468684 672383 2.50 468645 672347 2.50 468601 672306 2.50 468727 672423 2.50 468686 672383 2.50 468647 672347 2.50 468603 672306 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468581 672303 9.78 468539 672260 9.68 468500 672218 9.39 468458 672175 9.74 468579 672303 9.78 468537 672260 9.68 468498 672218 9.39 468456 672175 9.74 468598 672303 2.50 468555 672260 2.50 468515 672218 2.50 468474 672175 2.50 468600 672303 2.50 468557 672260 2.50 468517 672218 2.50 468476 672175 2.50 468578 672300 9.72 468536 672257 9.70 468496 672215 9.34 468456 672172 9.71 468576 672300 9.72 468534 672257 9.70 468494 672215 9.34 468454 672172 9.71 468594 672300 2.50 468552 672257 2.50 468511 672215 2.50 468472 672172 2.50 468596 672300 2.50 468554 672257 2.50 468513 672215 2.50 468474 672172 2.50 468575 672297 9.72 468533 672254 9.67 468490 672208 9.32 468454 672170 9.70 468573 672297 9.72 468531 672254 9.67 468488 672208 9.32 468452 672170 9.70 468591 672297 2.50 468549 672254 2.50 468505 672208 2.50 468470 672170 2.50 468593 672297 2.50 468551 672254 2.50 468507 672208 2.50 468472 672170 2.50 468573 672295 9.73 468530 672251 9.63 468487 672205 9.37 468452 672168 9.67 468571 672295 9.73 468528 672251 9.63 468485 672205 9.37 468450 672168 9.67 468589 672295 2.50 468546 672251 2.50 468502 672205 2.50 468468 672168 2.50 468591 672295 2.50 468548 672251 2.50 468504 672205 2.50 468470 672168 2.50 468571 672293 8.51 468528 672248 9.61 468484 672202 9.44 468449 672165 9.67 468569 672293 8.51 468526 672248 9.61 468482 672202 9.44 468447 672165 9.67 468584 672293 2.50 468543 672248 2.50 468499 672202 2.50 468465 672165 2.50 468586 672293 2.50 468545 672248 2.50 468501 672202 2.50 468467 672165 2.50 468569 672290 8.10 468525 672245 9.62 468481 672199 9.40 468447 672163 9.66 468567 672290 8.10 468523 672245 9.62 468479 672199 9.40 468445 672163 9.66 468581 672290 2.50 468541 672245 2.50 468497 672199 2.50 468463 672163 2.50 468583 672290 2.50 468543 672245 2.50 468499 672199 2.50 468465 672163 2.50 468566 672287 8.33 468522 672242 9.60 468479 672197 9.44 468445 672160 9.63 468564 672287 8.33 468520 672242 9.60 468477 672197 9.44 468443 672160 9.63 468579 672287 2.50 468538 672242 2.50 468494 672197 2.50 468461 672160 2.50 468581 672287 2.50 468540 672242 2.50 468496 672197 2.50 468463 672160 2.50 468563 672284 8.34 468520 672240 9.62 468477 672194 9.46 468442 672157 9.61 468561 672284 8.34 468518 672240 9.62 468475 672194 9.46 468440 672157 9.61 468575 672284 2.50 468536 672240 2.50 468492 672194 2.50 468458 672157 2.50 468577 672284 2.50 468538 672240 2.50 468494 672194 2.50 468460 672157 2.50 468559 672280 8.45 468517 672237 9.65 468475 672192 9.46 468437 672151 9.55 468557 672280 8.45 468515 672237 9.65 468473 672192 9.46 468435 672151 9.55 468572 672280 2.50 468533 672237 2.50 468490 672192 2.50 468452 672151 2.50 468574 672280 2.50 468535 672237 2.50 468492 672192 2.50 468454 672151 2.50 468556 672278 9.50 468515 672235 9.62 468472 672190 9.67 468434 672148 9.58 468554 672278 9.50 468513 672235 9.62 468470 672190 9.67 468432 672148 9.58 468572 672278 2.50 468531 672235 2.50 468488 672190 2.50 468450 672148 2.50 468574 672278 2.50 468533 672235 2.50 468490 672190 2.50 468452 672148 2.50 468554 672275 9.55 468513 672233 9.67 468470 672188 9.71 468432 672145 9.62 468552 672275 9.55 468511 672233 9.67 468468 672188 9.71 468430 672145 9.62 468569 672275 2.50 468529 672233 2.50 468486 672188 2.50 468447 672145 2.50 468571 672275 2.50 468531 672233 2.50 468488 672188 2.50 468449 672145 2.50 468551 672273 9.40 468510 672230 9.67 468468 672186 9.73 468429 672143 9.68 468549 672273 9.40 468508 672230 9.67 468466 672186 9.73 468427 672143 9.68 468567 672273 2.50 468526 672230 2.50 468484 672186 2.50 468445 672143 2.50 468569 672273 2.50 468528 672230 2.50 468486 672186 2.50 468447 672143 2.50 468549 672270 9.38 468507 672227 9.48 468466 672183 9.74 468426 672140 9.77 468547 672270 9.38 468505 672227 9.48 468464 672183 9.74 468424 672140 9.77 468564 672270 2.50 468523 672227 2.50 468482 672183 2.50 468443 672140 2.50 468566 672270 2.50 468525 672227 2.50 468484 672183 2.50 468445 672140 2.50 468546 672267 9.41 468505 672224 9.48 468463 672180 9.74 468424 672137 9.86 468544 672267 9.41 468503 672224 9.48 468461 672180 9.74 468422 672137 9.86 468562 672267 2.50 468520 672224 2.50 468479 672180 2.50 468440 672137 2.50 468564 672267 2.50 468522 672224 2.50 468481 672180 2.50 468442 672137 2.50 468541 672262 9.47 468502 672221 9.46 468460 672177 9.75 468421 672135 9.93 468539 672262 9.47 468500 672221 9.46 468458 672177 9.75 468419 672135 9.93 468556 672262 2.50 468517 672221 2.50 468477 672177 2.50 468438 672135 2.50 468558 672262 2.50 468519 672221 2.50 468479 672177 2.50 468440 672135 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468419 672132 9.95 468380 672090 10.04 468345 672050 10.11 468306 672017 11.51 468417 672132 9.95 468378 672090 10.04 468343 672050 10.11 468304 672017 11.51 468435 672132 2.50 468397 672090 2.50 468362 672050 2.50 468327 672017 2.50 468437 672132 2.50 468399 672090 2.50 468364 672050 2.50 468329 672017 2.50 468416 672129 9.99 468378 672087 10.05 468342 672047 10.14 468303 672015 11.61 468414 672129 9.99 468376 672087 10.05 468340 672047 10.14 468301 672015 11.61 468432 672129 2.50 468395 672087 2.50 468359 672047 2.50 468324 672015 2.50 468434 672129 2.50 468397 672087 2.50 468361 672047 2.50 468326 672015 2.50 468413 672126 10.03 468376 672085 10.07 468339 672044 10.14 468300 672012 11.60 468411 672126 10.03 468374 672085 10.07 468337 672044 10.14 468298 672012 11.60 468430 672126 2.50 468393 672085 2.50 468357 672044 2.50 468321 672012 2.50 468432 672126 2.50 468395 672085 2.50 468359 672044 2.50 468323 672012 2.50 468410 672122 10.05 468373 672082 10.09 468337 672042 10.12 468298 672010 11.69 468408 672122 10.05 468371 672082 10.09 468335 672042 10.12 468296 672010 11.69 468427 672122 2.50 468390 672082 2.50 468354 672042 2.50 468319 672010 2.50 468429 672122 2.50 468392 672082 2.50 468356 672042 2.50 468321 672010 2.50 468407 672119 10.06 468371 672079 10.11 468334 672039 10.14 468295 672008 11.67 468405 672119 10.06 468369 672079 10.11 468332 672039 10.14 468293 672008 11.67 468424 672119 2.50 468388 672079 2.50 468351 672039 2.50 468316 672008 2.50 468426 672119 2.50 468390 672079 2.50 468353 672039 2.50 468318 672008 2.50 468404 672116 10.10 468368 672076 10.12 468331 672037 10.60 468292 672006 11.67 468402 672116 10.10 468366 672076 10.12 468329 672037 10.60 468290 672006 11.67 468421 672116 2.50 468385 672076 2.50 468350 672037 2.50 468313 672006 2.50 468423 672116 2.50 468387 672076 2.50 468352 672037 2.50 468315 672006 2.50 468402 672113 10.14 468366 672074 10.12 468329 672035 10.77 468289 672003 11.61 468400 672113 10.14 468364 672074 10.12 468327 672035 10.77 468287 672003 11.61 468419 672113 2.50 468383 672074 2.50 468348 672035 2.50 468310 672003 2.50 468421 672113 2.50 468385 672074 2.50 468350 672035 2.50 468312 672003 2.50 468399 672110 10.16 468363 672070 10.12 468326 672033 11.13 468286 672000 11.52 468397 672110 10.16 468361 672070 10.12 468324 672033 11.13 468284 672000 11.52 468416 672110 2.50 468380 672070 2.50 468346 672033 2.50 468307 672000 2.50 468418 672110 2.50 468382 672070 2.50 468348 672033 2.50 468309 672000 2.50 468397 672108 10.14 468360 672067 10.15 468324 672031 11.27 468395 672108 10.14 468358 672067 10.15 468322 672031 11.27 468414 672108 2.50 468377 672067 2.50 468344 672031 2.50 468416 672108 2.50 468379 672067 2.50 468346 672031 2.50 468394 672106 10.17 468358 672065 10.15 468321 672029 11.42 468392 672106 10.17 468356 672065 10.15 468319 672029 11.42 468412 672106 2.50 468375 672065 2.50 468341 672029 2.50 468414 672106 2.50 468377 672065 2.50 468343 672029 2.50 468392 672103 10.16 468356 672062 10.19 468319 672028 11.54 468390 672103 10.16 468354 672062 10.19 468317 672028 11.54 468410 672103 2.50 468373 672062 2.50 468340 672028 2.50 468412 672103 2.50 468375 672062 2.50 468342 672028 2.50 468390 672101 10.13 468354 672060 10.19 468317 672026 11.51 468388 672101 10.13 468352 672060 10.19 468315 672026 11.51 468407 672101 2.50 468371 672060 2.50 468338 672026 2.50 468409 672101 2.50 468373 672060 2.50 468340 672026 2.50 468388 672098 10.11 468351 672057 10.14 468315 672024 11.52 468386 672098 10.11 468349 672057 10.14 468313 672024 11.52 468405 672098 2.50 468368 672057 2.50 468335 672024 2.50 468407 672098 2.50 468370 672057 2.50 468337 672024 2.50 468385 672095 10.09 468349 672054 10.17 468311 672021 11.44 468383 672095 10.09 468347 672054 10.17 468309 672021 11.44 468402 672095 2.50 468366 672054 2.50 468331 672021 2.50 468404 672095 2.50 468368 672054 2.50 468333 672021 2.50 468383 672092 10.07 468347 672052 10.12 468308 672019 11.48 468381 672092 10.07 468345 672052 10.12 468306 672019 11.48 468400 672092 2.50 468364 672052 2.50 468329 672019 2.50 468402 672092 2.50 468366 672052 2.50 468331 672019 2.50

Page 154 September 2013 B3 Surveys

5.2 Walkway RL Survey 04-05-2011

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468279 672000 11.44 468230 671923 10.48 468180 671840 9.69 468125 671760 9.50 468277 672000 11.44 468228 671923 10.48 468178 671840 9.69 468123 671760 9.50 468302 672000 2.50 468250 671923 2.50 468198 671840 2.50 468142 671760 2.50 468305 672000 2.50 468253 671923 2.50 468201 671840 2.50 468145 671760 2.50 468276 671996 11.30 468227 671918 10.48 468177 671834 9.68 468120 671755 9.49 468274 671996 11.30 468225 671918 10.48 468175 671834 9.68 468118 671755 9.49 468298 671996 2.50 468247 671918 2.50 468195 671834 2.50 468138 671755 2.50 468301 671996 2.50 468250 671918 2.50 468198 671834 2.50 468141 671755 2.50 468272 671991 10.95 468224 671912 10.48 468174 671829 9.55 468117 671750 9.48 468270 671991 10.95 468222 671912 10.48 468172 671829 9.55 468115 671750 9.48 468293 671991 2.50 468244 671912 2.50 468192 671829 2.50 468134 671750 2.50 468296 671991 2.50 468247 671912 2.50 468195 671829 2.50 468137 671750 2.50 468270 671985 10.74 468220 671907 10.44 468171 671823 9.41 468113 671745 9.48 468268 671985 10.74 468218 671907 10.44 468169 671823 9.41 468111 671745 9.48 468291 671985 2.50 468240 671907 2.50 468188 671823 2.50 468130 671745 2.50 468294 671985 2.50 468243 671907 2.50 468191 671823 2.50 468133 671745 2.50 468267 671981 10.62 468217 671901 10.41 468167 671818 9.36 468109 671740 9.51 468265 671981 10.62 468215 671901 10.41 468165 671818 9.36 468107 671740 9.51 468287 671981 2.50 468236 671901 2.50 468185 671818 2.50 468126 671740 2.50 468290 671981 2.50 468239 671901 2.50 468188 671818 2.50 468129 671740 2.50 468264 671976 10.55 468213 671896 10.36 468164 671812 9.33 468105 671735 9.53 468262 671976 10.55 468211 671896 10.36 468162 671812 9.33 468103 671735 9.53 468284 671976 2.50 468233 671896 2.50 468181 671812 2.50 468122 671735 2.50 468287 671976 2.50 468236 671896 2.50 468184 671812 2.50 468125 671735 2.50 468261 671970 10.55 468210 671891 10.25 468161 671807 9.26 468101 671730 9.47 468259 671970 10.55 468208 671891 10.25 468159 671807 9.26 468099 671730 9.47 468281 671970 2.50 468229 671891 2.50 468178 671807 2.50 468118 671730 2.50 468284 671970 2.50 468232 671891 2.50 468181 671807 2.50 468121 671730 2.50 468258 671966 10.55 468207 671885 10.11 468157 671801 9.26 468097 671725 9.50 468256 671966 10.55 468205 671885 10.11 468155 671801 9.26 468095 671725 9.50 468278 671966 2.50 468226 671885 2.50 468174 671801 2.50 468114 671725 2.50 468281 671966 2.50 468229 671885 2.50 468177 671801 2.50 468117 671725 2.50 468254 671960 10.48 468203 671879 10.03 468153 671796 9.28 468093 671720 9.46 468252 671960 10.48 468201 671879 10.03 468151 671796 9.28 468091 671720 9.46 468274 671960 2.50 468222 671879 2.50 468170 671796 2.50 468110 671720 2.50 468277 671960 2.50 468225 671879 2.50 468173 671796 2.50 468113 671720 2.50 468251 671954 10.45 468200 671873 10.01 468148 671790 9.29 468089 671716 9.25 468249 671954 10.45 468198 671873 10.01 468146 671790 9.29 468087 671716 9.25 468271 671954 2.50 468218 671873 2.50 468165 671790 2.50 468106 671716 2.50 468274 671954 2.50 468221 671873 2.50 468168 671790 2.50 468109 671716 2.50 468247 671949 10.49 468196 671867 9.99 468144 671784 9.25 468085 671711 9.00 468245 671949 10.49 468194 671867 9.99 468142 671784 9.25 468083 671711 9.00 468267 671949 2.50 468214 671867 2.50 468161 671784 2.50 468101 671711 2.50 468270 671949 2.50 468217 671867 2.50 468164 671784 2.50 468104 671711 2.50 468243 671943 10.50 468193 671862 9.97 468141 671780 9.22 468080 671707 8.96 468241 671943 10.50 468191 671862 9.97 468139 671780 9.22 468078 671707 8.96 468263 671943 2.50 468211 671862 2.50 468158 671780 2.50 468097 671707 2.50 468266 671943 2.50 468214 671862 2.50 468161 671780 2.50 468100 671707 2.50 468240 671938 10.52 468189 671856 9.92 468137 671775 9.21 468076 671703 9.02 468238 671938 10.52 468187 671856 9.92 468135 671775 9.21 468074 671703 9.02 468260 671938 2.50 468208 671856 2.50 468154 671775 2.50 468092 671703 2.50 468263 671938 2.50 468211 671856 2.50 468157 671775 2.50 468095 671703 2.50 468237 671933 10.58 468186 671851 9.86 468133 671770 9.28 468070 671700 9.12 468235 671933 10.58 468184 671851 9.86 468131 671770 9.28 468068 671700 9.12 468257 671933 2.50 468205 671851 2.50 468150 671770 2.50 468087 671700 2.50 468260 671933 2.50 468208 671851 2.50 468153 671770 2.50 468090 671700 2.50 468233 671928 10.55 468183 671845 9.74 468129 671765 9.47 468065 671696 9.28 468231 671928 10.55 468181 671845 9.74 468127 671765 9.47 468063 671696 9.28 468253 671928 2.50 468201 671845 2.50 468146 671765 2.50 468082 671696 2.50 468256 671928 2.50 468204 671845 2.50 468149 671765 2.50 468085 671696 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 468060 671692 9.42 467998 671618 9.59 467936 671543 11.02 467875 671462 10.93 468058 671692 9.42 467996 671618 9.59 467934 671543 11.02 467873 671462 10.93 468077 671692 2.50 468016 671618 2.50 467957 671543 2.50 467896 671462 2.50 468080 671692 2.50 468019 671618 2.50 467960 671543 2.50 467899 671462 2.50 468055 671688 9.53 467994 671613 9.62 467932 671538 11.02 467871 671456 10.79 468053 671688 9.53 467992 671613 9.62 467930 671538 11.02 467869 671456 10.79 468073 671688 2.50 468012 671613 2.50 467953 671538 2.50 467892 671456 2.50 468076 671688 2.50 468015 671613 2.50 467956 671538 2.50 467895 671456 2.50 468051 671683 9.68 467991 671608 9.66 467928 671532 11.04 467868 671450 10.28 468049 671683 9.68 467989 671608 9.66 467926 671532 11.04 467866 671450 10.28 468069 671683 2.50 468008 671608 2.50 467949 671532 2.50 467887 671450 2.50 468072 671683 2.50 468011 671608 2.50 467952 671532 2.50 467890 671450 2.50 468046 671678 9.73 467986 671604 9.92 467924 671527 11.09 467864 671445 10.30 468044 671678 9.73 467984 671604 9.92 467922 671527 11.09 467862 671445 10.30 468064 671678 2.50 468005 671604 2.50 467945 671527 2.50 467884 671445 2.50 468067 671678 2.50 468008 671604 2.50 467948 671527 2.50 467887 671445 2.50 468042 671673 9.77 467982 671600 10.08 467920 671522 11.14 467860 671440 10.54 468040 671673 9.77 467980 671600 10.08 467918 671522 11.14 467858 671440 10.54 468060 671673 2.50 468001 671600 2.50 467941 671522 2.50 467880 671440 2.50 468063 671673 2.50 468004 671600 2.50 467944 671522 2.50 467883 671440 2.50 468038 671668 9.81 467977 671595 10.34 467916 671517 11.11 467855 671435 10.79 468036 671668 9.81 467975 671595 10.34 467914 671517 11.11 467853 671435 10.79 468056 671668 2.50 467997 671595 2.50 467937 671517 2.50 467876 671435 2.50 468059 671668 2.50 468000 671595 2.50 467940 671517 2.50 467879 671435 2.50 468034 671663 9.81 467973 671590 10.49 467912 671511 11.05 467851 671429 10.86 468032 671663 9.81 467971 671590 10.49 467910 671511 11.05 467849 671429 10.86 468052 671663 2.50 467993 671590 2.50 467933 671511 2.50 467872 671429 2.50 468055 671663 2.50 467996 671590 2.50 467936 671511 2.50 467875 671429 2.50 468030 671658 9.82 467964 671579 10.70 467908 671505 11.02 467847 671424 10.84 468028 671658 9.82 467962 671579 10.70 467906 671505 11.02 467845 671424 10.84 468048 671658 2.50 467984 671579 2.50 467929 671505 2.50 467868 671424 2.50 468051 671658 2.50 467987 671579 2.50 467932 671505 2.50 467871 671424 2.50 468026 671653 9.82 467964 671579 10.69 467904 671500 10.91 467843 671419 10.83 468024 671653 9.82 467962 671579 10.69 467902 671500 10.91 467841 671419 10.83 468044 671653 2.50 467984 671579 2.50 467925 671500 2.50 467864 671419 2.50 468047 671653 2.50 467987 671579 2.50 467928 671500 2.50 467867 671419 2.50 468022 671648 9.80 467960 671574 10.80 467899 671494 10.98 467839 671413 10.80 468020 671648 9.80 467958 671574 10.80 467897 671494 10.98 467837 671413 10.80 468040 671648 2.50 467981 671574 2.50 467921 671494 2.50 467860 671413 2.50 468043 671648 2.50 467984 671574 2.50 467924 671494 2.50 467863 671413 2.50 468018 671643 9.82 467956 671569 10.88 467896 671489 11.00 467834 671407 10.87 468016 671643 9.82 467954 671569 10.88 467894 671489 11.00 467832 671407 10.87 468036 671643 2.50 467977 671569 2.50 467917 671489 2.50 467855 671407 2.50 468039 671643 2.50 467980 671569 2.50 467920 671489 2.50 467858 671407 2.50 468013 671637 9.79 467952 671564 10.97 467892 671484 11.06 467831 671402 10.93 468011 671637 9.79 467950 671564 10.97 467890 671484 11.06 467829 671402 10.93 468032 671637 2.50 467973 671564 2.50 467913 671484 2.50 467852 671402 2.50 468035 671637 2.50 467976 671564 2.50 467916 671484 2.50 467855 671402 2.50 468010 671633 9.71 467948 671558 10.97 467887 671479 11.11 467827 671397 10.93 468008 671633 9.71 467946 671558 10.97 467885 671479 11.11 467825 671397 10.93 468028 671633 2.50 467969 671558 2.50 467909 671479 2.50 467848 671397 2.50 468031 671633 2.50 467972 671558 2.50 467912 671479 2.50 467851 671397 2.50 468005 671627 9.67 467944 671553 10.98 467883 671474 11.04 467823 671392 10.96 468003 671627 9.67 467942 671553 10.98 467881 671474 11.04 467821 671392 10.96 468023 671627 2.50 467965 671553 2.50 467905 671474 2.50 467844 671392 2.50 468026 671627 2.50 467968 671553 2.50 467908 671474 2.50 467847 671392 2.50 468002 671622 9.65 467940 671548 11.03 467879 671468 11.04 467819 671386 10.99 468000 671622 9.65 467938 671548 11.03 467877 671468 11.04 467817 671386 10.99 468020 671622 2.50 467961 671548 2.50 467900 671468 2.50 467840 671386 2.50 468023 671622 2.50 467964 671548 2.50 467903 671468 2.50 467843 671386 2.50

Page 156 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467815 671381 11.07 467770 671308 11.45 467724 671227 11.15 467672 671145 10.25 467813 671381 11.07 467768 671308 11.45 467722 671227 11.15 467670 671145 10.25 467836 671381 2.50 467792 671308 2.50 467745 671227 2.50 467691 671145 2.50 467839 671381 2.50 467795 671308 2.50 467748 671227 2.50 467694 671145 2.50 467811 671375 11.12 467767 671302 11.42 467720 671222 11.13 467670 671140 10.08 467809 671375 11.12 467765 671302 11.42 467718 671222 11.13 467668 671140 10.08 467832 671375 2.50 467789 671302 2.50 467742 671222 2.50 467689 671140 2.50 467835 671375 2.50 467792 671302 2.50 467745 671222 2.50 467692 671140 2.50 467807 671369 11.12 467764 671297 11.40 467717 671217 11.16 467667 671135 9.85 467805 671369 11.12 467762 671297 11.40 467715 671217 11.16 467665 671135 9.85 467829 671369 2.50 467786 671297 2.50 467739 671217 2.50 467685 671135 2.50 467832 671369 2.50 467789 671297 2.50 467742 671217 2.50 467688 671135 2.50 467803 671362 11.20 467760 671291 11.36 467714 671212 11.18 467664 671128 9.65 467801 671362 11.20 467758 671291 11.36 467712 671212 11.18 467662 671128 9.65 467824 671362 2.50 467782 671291 2.50 467736 671212 2.50 467682 671128 2.50 467827 671362 2.50 467785 671291 2.50 467739 671212 2.50 467685 671128 2.50 467799 671357 11.24 467756 671286 11.44 467711 671206 11.13 467662 671123 9.55 467797 671357 11.24 467754 671286 11.44 467709 671206 11.13 467660 671123 9.55 467821 671357 2.50 467779 671286 2.50 467732 671206 2.50 467680 671123 2.50 467824 671357 2.50 467782 671286 2.50 467735 671206 2.50 467683 671123 2.50 467796 671352 11.24 467753 671280 11.47 467708 671201 11.15 467660 671117 9.41 467794 671352 11.24 467751 671280 11.47 467706 671201 11.15 467658 671117 9.41 467818 671352 2.50 467775 671280 2.50 467729 671201 2.50 467677 671117 2.50 467821 671352 2.50 467778 671280 2.50 467732 671201 2.50 467680 671117 2.50 467796 671351 11.30 467750 671275 11.36 467704 671196 11.13 467657 671107 9.16 467794 671351 11.30 467748 671275 11.36 467702 671196 11.13 467655 671107 9.16 467818 671351 2.50 467772 671275 2.50 467726 671196 2.50 467673 671107 2.50 467821 671351 2.50 467775 671275 2.50 467729 671196 2.50 467676 671107 2.50 467791 671342 11.30 467747 671269 11.36 467701 671191 11.15 467655 671100 8.96 467789 671342 11.30 467745 671269 11.36 467699 671191 11.15 467653 671100 8.96 467813 671342 2.50 467769 671269 2.50 467722 671191 2.50 467671 671100 2.50 467816 671342 2.50 467772 671269 2.50 467725 671191 2.50 467674 671100 2.50 467790 671342 11.24 467744 671264 11.37 467697 671187 11.15 467653 671088 8.77 467788 671342 11.24 467742 671264 11.37 467695 671187 11.15 467651 671088 8.77 467812 671342 2.50 467766 671264 2.50 467719 671187 2.50 467668 671088 2.50 467815 671342 2.50 467769 671264 2.50 467722 671187 2.50 467671 671088 2.50 467787 671337 11.23 467741 671259 11.35 467694 671182 11.16 467652 671082 8.66 467785 671337 11.23 467739 671259 11.35 467692 671182 11.16 467650 671082 8.66 467809 671337 2.50 467763 671259 2.50 467715 671182 2.50 467668 671082 2.50 467812 671337 2.50 467766 671259 2.50 467718 671182 2.50 467671 671082 2.50 467785 671333 11.27 467738 671254 11.32 467690 671177 11.06 467652 671076 8.52 467783 671333 11.27 467736 671254 11.32 467688 671177 11.06 467650 671076 8.52 467807 671333 2.50 467760 671254 2.50 467711 671177 2.50 467667 671076 2.50 467810 671333 2.50 467763 671254 2.50 467714 671177 2.50 467670 671076 2.50 467782 671329 11.37 467736 671249 11.28 467683 671167 10.88 467651 671070 8.28 467780 671329 11.37 467734 671249 11.28 467681 671167 10.88 467649 671070 8.28 467804 671329 2.50 467757 671249 2.50 467704 671167 2.50 467666 671070 2.50 467807 671329 2.50 467760 671249 2.50 467707 671167 2.50 467669 671070 2.50 467779 671324 11.44 467733 671243 11.25 467680 671162 10.79 467651 671063 7.97 467777 671324 11.44 467731 671243 11.25 467678 671162 10.79 467649 671063 7.97 467801 671324 2.50 467754 671243 2.50 467701 671162 2.50 467664 671063 2.50 467804 671324 2.50 467757 671243 2.50 467704 671162 2.50 467667 671063 2.50 467776 671318 11.47 467729 671238 11.20 467677 671156 10.70 467650 671057 7.63 467774 671318 11.47 467727 671238 11.20 467675 671156 10.70 467648 671057 7.63 467798 671318 2.50 467751 671238 2.50 467698 671156 2.50 467663 671057 2.50 467801 671318 2.50 467754 671238 2.50 467701 671156 2.50 467666 671057 2.50 467773 671313 11.46 467727 671233 11.18 467674 671150 10.43 467650 671051 7.29 467771 671313 11.46 467725 671233 11.18 467672 671150 10.43 467648 671051 7.29 467795 671313 2.50 467748 671233 2.50 467694 671150 2.50 467662 671051 2.50 467798 671313 2.50 467751 671233 2.50 467697 671150 2.50 467665 671051 2.50

Page 157 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467646 671030 6.41 467592 670941 6.28 467546 670850 6.53 467492 670774 8.73 467644 671030 6.41 467590 670941 6.28 467544 670850 6.53 467490 670774 8.73 467655 671030 2.50 467601 670941 2.50 467556 670850 2.50 467507 670774 2.50 467658 671030 2.50 467604 670941 2.50 467559 670850 2.50 467510 670774 2.50 467644 671025 6.27 467589 670935 6.23 467543 670845 6.55 467486 670769 9.85 467642 671025 6.27 467587 670935 6.23 467541 670845 6.55 467484 670769 9.85 467653 671025 2.50 467598 670935 2.50 467554 670845 2.50 467505 670769 2.50 467656 671025 2.50 467601 670935 2.50 467557 670845 2.50 467508 670769 2.50 467642 671019 6.25 467586 670929 6.17 467541 670839 6.60 467482 670766 10.53 467640 671019 6.25 467584 670929 6.17 467539 670839 6.60 467480 670766 10.53 467651 671019 2.50 467595 670929 2.50 467551 670839 2.50 467502 670766 2.50 467654 671019 2.50 467598 670929 2.50 467554 670839 2.50 467505 670766 2.50 467639 671013 6.26 467582 670921 6.29 467537 670834 6.69 467480 670760 10.67 467637 671013 6.26 467580 670921 6.29 467535 670834 6.69 467478 670760 10.67 467649 671013 2.50 467592 670921 2.50 467548 670834 2.50 467500 670760 2.50 467652 671013 2.50 467595 670921 2.50 467551 670834 2.50 467503 670760 2.50 467636 671007 6.28 467580 670915 6.41 467534 670827 6.69 467478 670754 10.56 467634 671007 6.28 467578 670915 6.41 467532 670827 6.69 467476 670754 10.56 467646 671007 2.50 467590 670915 2.50 467545 670827 2.50 467498 670754 2.50 467649 671007 2.50 467593 670915 2.50 467548 670827 2.50 467501 670754 2.50 467633 671001 6.22 467577 670909 6.46 467532 670821 6.71 467475 670748 10.60 467631 671001 6.22 467575 670909 6.46 467530 670821 6.71 467473 670748 10.60 467642 671001 2.50 467587 670909 2.50 467542 670821 2.50 467496 670748 2.50 467645 671001 2.50 467590 670909 2.50 467545 670821 2.50 467499 670748 2.50 467629 670995 6.22 467574 670902 6.48 467529 670815 6.72 467473 670743 10.61 467627 670995 6.22 467572 670902 6.48 467527 670815 6.72 467471 670743 10.61 467639 670995 2.50 467584 670902 2.50 467539 670815 2.50 467494 670743 2.50 467642 670995 2.50 467587 670902 2.50 467542 670815 2.50 467497 670743 2.50 467625 670990 6.24 467571 670896 6.46 467526 670808 6.72 467471 670737 10.57 467623 670990 6.24 467569 670896 6.46 467524 670808 6.72 467469 670737 10.57 467634 670990 2.50 467581 670896 2.50 467536 670808 2.50 467491 670737 2.50 467637 670990 2.50 467584 670896 2.50 467539 670808 2.50 467494 670737 2.50 467620 670984 6.23 467568 670890 6.46 467523 670803 6.74 467469 670731 10.61 467618 670984 6.23 467566 670890 6.46 467521 670803 6.74 467467 670731 10.61 467630 670984 2.50 467578 670890 2.50 467534 670803 2.50 467489 670731 2.50 467633 670984 2.50 467581 670890 2.50 467537 670803 2.50 467492 670731 2.50 467616 670978 6.26 467564 670884 6.41 467520 670798 6.71 467466 670725 10.63 467614 670978 6.26 467562 670884 6.41 467518 670798 6.71 467464 670725 10.63 467625 670978 2.50 467574 670884 2.50 467530 670798 2.50 467486 670725 2.50 467628 670978 2.50 467577 670884 2.50 467533 670798 2.50 467489 670725 2.50 467612 670972 6.30 467561 670878 6.42 467517 670794 6.74 467463 670718 10.62 467610 670972 6.30 467559 670878 6.42 467515 670794 6.74 467461 670718 10.62 467621 670972 2.50 467571 670878 2.50 467527 670794 2.50 467484 670718 2.50 467624 670972 2.50 467574 670878 2.50 467530 670794 2.50 467487 670718 2.50 467608 670966 6.29 467558 670873 6.43 467513 670788 6.56 467460 670712 10.69 467606 670966 6.29 467556 670873 6.43 467511 670788 6.56 467458 670712 10.69 467617 670966 2.50 467568 670873 2.50 467523 670788 2.50 467481 670712 2.50 467620 670966 2.50 467571 670873 2.50 467526 670788 2.50 467484 670712 2.50 467603 670961 6.31 467555 670867 6.41 467508 670784 6.56 467458 670706 10.76 467601 670961 6.31 467553 670867 6.41 467506 670784 6.56 467456 670706 10.76 467613 670961 2.50 467565 670867 2.50 467518 670784 2.50 467479 670706 2.50 467616 670961 2.50 467568 670867 2.50 467521 670784 2.50 467482 670706 2.50 467599 670955 6.35 467552 670862 6.46 467503 670781 7.04 467456 670701 10.81 467597 670955 6.35 467550 670862 6.46 467501 670781 7.04 467454 670701 10.81 467609 670955 2.50 467562 670862 2.50 467514 670781 2.50 467477 670701 2.50 467612 670955 2.50 467565 670862 2.50 467517 670781 2.50 467480 670701 2.50 467595 670948 6.30 467549 670856 6.47 467497 670778 7.84 467454 670696 10.82 467593 670948 6.30 467547 670856 6.47 467495 670778 7.84 467452 670696 10.82 467605 670948 2.50 467559 670856 2.50 467511 670778 2.50 467475 670696 2.50 467608 670948 2.50 467562 670856 2.50 467514 670778 2.50 467478 670696 2.50

Page 158 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467452 670691 10.84 467419 670603 11.08 467377 670507 10.72 467334 670413 10.09 467450 670691 10.84 467417 670603 11.08 467375 670507 10.72 467332 670413 10.09 467473 670691 2.50 467440 670603 2.50 467398 670507 2.50 467353 670413 2.50 467476 670691 2.50 467443 670603 2.50 467401 670507 2.50 467356 670413 2.50 467449 670685 10.96 467416 670598 11.12 467374 670500 10.56 467331 670408 10.06 467447 670685 10.96 467414 670598 11.12 467372 670500 10.56 467329 670408 10.06 467470 670685 2.50 467438 670598 2.50 467394 670500 2.50 467350 670408 2.50 467473 670685 2.50 467441 670598 2.50 467397 670500 2.50 467353 670408 2.50 467446 670680 11.19 467414 670592 11.20 467371 670493 10.48 467329 670402 10.14 467444 670680 11.19 467412 670592 11.20 467369 670493 10.48 467327 670402 10.14 467468 670680 2.50 467435 670592 2.50 467391 670493 2.50 467348 670402 2.50 467471 670680 2.50 467438 670592 2.50 467394 670493 2.50 467351 670402 2.50 467444 670673 11.78 467412 670586 11.30 467368 670487 10.44 467326 670397 10.18 467442 670673 11.78 467410 670586 11.30 467366 670487 10.44 467324 670397 10.18 467467 670673 2.50 467434 670586 2.50 467388 670487 2.50 467346 670397 2.50 467470 670673 2.50 467437 670586 2.50 467391 670487 2.50 467349 670397 2.50 467443 670668 11.86 467411 670579 11.20 467365 670481 10.32 467324 670391 10.29 467441 670668 11.86 467409 670579 11.20 467363 670481 10.32 467322 670391 10.29 467466 670668 2.50 467433 670579 2.50 467385 670481 2.50 467343 670391 2.50 467469 670668 2.50 467436 670579 2.50 467388 670481 2.50 467346 670391 2.50 467442 670662 11.92 467410 670573 11.25 467362 670474 10.28 467321 670386 10.34 467440 670662 11.92 467408 670573 11.25 467360 670474 10.28 467319 670386 10.34 467465 670662 2.50 467432 670573 2.50 467381 670474 2.50 467341 670386 2.50 467468 670662 2.50 467435 670573 2.50 467384 670474 2.50 467344 670386 2.50 467441 670656 11.81 467409 670567 11.24 467359 670467 10.36 467319 670380 10.33 467439 670656 11.81 467407 670567 11.24 467357 670467 10.36 467317 670380 10.33 467464 670656 2.50 467431 670567 2.50 467379 670467 2.50 467338 670380 2.50 467467 670656 2.50 467434 670567 2.50 467382 670467 2.50 467341 670380 2.50 467440 670650 11.81 467404 670551 11.06 467356 670461 10.28 467316 670375 10.38 467438 670650 11.81 467402 670551 11.06 467354 670461 10.28 467314 670375 10.38 467463 670650 2.50 467425 670551 2.50 467376 670461 2.50 467336 670375 2.50 467466 670650 2.50 467428 670551 2.50 467379 670461 2.50 467339 670375 2.50 467438 670643 11.81 467401 670546 11.05 467353 670455 10.25 467314 670369 10.41 467436 670643 11.81 467399 670546 11.05 467351 670455 10.25 467312 670369 10.41 467461 670643 2.50 467422 670546 2.50 467373 670455 2.50 467334 670369 2.50 467464 670643 2.50 467425 670546 2.50 467376 670455 2.50 467337 670369 2.50 467436 670638 11.70 467397 670541 10.98 467350 670448 10.22 467311 670363 10.41 467434 670638 11.70 467395 670541 10.98 467348 670448 10.22 467309 670363 10.41 467459 670638 2.50 467418 670541 2.50 467369 670448 2.50 467331 670363 2.50 467462 670638 2.50 467421 670541 2.50 467372 670448 2.50 467334 670363 2.50 467434 670633 11.61 467394 670536 10.97 467347 670442 10.21 467309 670358 10.40 467432 670633 11.61 467392 670536 10.97 467345 670442 10.21 467307 670358 10.40 467457 670633 2.50 467415 670536 2.50 467366 670442 2.50 467329 670358 2.50 467460 670633 2.50 467418 670536 2.50 467369 670442 2.50 467332 670358 2.50 467431 670627 11.40 467390 670531 10.98 467344 670436 10.48 467307 670353 10.34 467429 670627 11.40 467388 670531 10.98 467342 670436 10.48 467305 670353 10.34 467454 670627 2.50 467411 670531 2.50 467364 670436 2.50 467326 670353 2.50 467457 670627 2.50 467414 670531 2.50 467367 670436 2.50 467329 670353 2.50 467429 670621 11.29 467387 670525 10.93 467342 670431 10.48 467304 670347 10.33 467427 670621 11.29 467385 670525 10.93 467340 670431 10.48 467302 670347 10.33 467451 670621 2.50 467408 670525 2.50 467362 670431 2.50 467324 670347 2.50 467454 670621 2.50 467411 670525 2.50 467365 670431 2.50 467327 670347 2.50 467426 670616 11.25 467384 670520 10.86 467339 670425 10.44 467302 670341 10.24 467424 670616 11.25 467382 670520 10.86 467337 670425 10.44 467300 670341 10.24 467448 670616 2.50 467404 670520 2.50 467359 670425 2.50 467321 670341 2.50 467451 670616 2.50 467407 670520 2.50 467362 670425 2.50 467324 670341 2.50 467422 670610 11.12 467380 670514 10.73 467336 670419 10.16 467299 670335 10.23 467420 670610 11.12 467378 670514 10.73 467334 670419 10.16 467297 670335 10.23 467444 670610 2.50 467401 670514 2.50 467355 670419 2.50 467319 670335 2.50 467447 670610 2.50 467404 670514 2.50 467358 670419 2.50 467322 670335 2.50

Page 159 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing RL Easting Northing RL 467297 670330 10.24 467266 670250 10.07 467295 670330 10.24 467264 670250 10.07 467316 670330 2.50 467285 670250 2.50 467319 670330 2.50 467288 670250 2.50 467294 670324 10.27 467292 670324 10.27 467313 670324 2.50 467316 670324 2.50 467291 670318 10.28 467289 670318 10.28 467311 670318 2.50 467314 670318 2.50 467289 670312 10.35 467287 670312 10.35 467309 670312 2.50 467312 670312 2.50 467287 670308 10.48 467285 670308 10.48 467307 670308 2.50 467310 670308 2.50 467287 670307 10.60 467285 670307 10.60 467307 670307 2.50 467310 670307 2.50 467283 670298 10.60 467281 670298 10.60 467303 670298 2.50 467306 670298 2.50 467283 670298 10.47 467281 670298 10.47 467303 670298 2.50 467306 670298 2.50 467281 670292 10.30 467279 670292 10.30 467301 670292 2.50 467304 670292 2.50 467279 670287 10.20 467277 670287 10.20 467299 670287 2.50 467302 670287 2.50 467277 670282 10.10 467275 670282 10.10 467296 670282 2.50 467299 670282 2.50 467275 670276 10.05 467273 670276 10.05 467294 670276 2.50 467297 670276 2.50 467273 670270 10.04 467271 670270 10.04 467292 670270 2.50 467295 670270 2.50 467271 670265 10.01 467269 670265 10.01 467290 670265 2.50 467293 670265 2.50 467269 670259 10.03 467267 670259 10.03 467288 670259 2.50 467291 670259 2.50

Page 160 September 2013 B3 Surveys

5.3 Walkway RL Survey 03

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467286 670267 10.127 467085 669735 10.759 466854 669131 10.116 466653 668578 10.405 467283 670258 10.104 467082 669727 10.756 466851 669121 10.171 466651 668567 10.408 467280 670250 10.135 467078 669718 10.737 466848 669110 10.262 466651 668562 10.427 467277 670241 10.133 467074 669710 10.65 466847 669105 10.211 466650 668552 10.467 467274 670232 10.147 467071 669701 10.669 466848 669105 10.206 466649 668541 10.419 467270 670222 10.124 467067 669691 10.596 466844 669095 10.336 466648 668533 10.397 467268 670215 10.195 467058 669671 10.62 466843 669095 10.443 466647 668522 10.412 467267 670206 10.165 467054 669661 10.63 466840 669086 10.347 466646 668511 10.282 467265 670197 10.106 467050 669652 10.644 466837 669077 10.141 466644 668499 10.34 467264 670188 10.112 467046 669643 10.58 466834 669067 10.04 466644 668489 10.398 467263 670179 10.066 467043 669634 10.501 466831 669058 10.52 466643 668480 10.462 467261 670169 10.061 467038 669624 10.519 466827 669048 10.361 466643 668469 10.346 467259 670157 10.119 467034 669613 10.569 466822 669038 10.348 466643 668456 10.418 467257 670151 10.041 467029 669601 10.535 466822 669038 10.348 466643 668444 10.44 467254 670147 10.096 467026 669592 10.538 466818 669027 10.122 466644 668433 10.357 467248 670141 10.109 467022 669582 10.531 466813 669016 9.998 466644 668423 10.272 467241 670136 10.125 467018 669571 10.566 466809 669006 10.049 466645 668414 10.281 467235 670131 10.113 467013 669559 10.513 466805 668995 10.157 466644 668405 10.245 467227 670118 10.113 467005 669540 10.469 466801 668984 10.189 466643 668394 10.287 467224 670109 10.103 467002 669530 10.398 466797 668974 10.258 466641 668383 10.358 467221 670101 10.115 466998 669521 10.32 466793 668963 10.271 466639 668372 10.399 467218 670091 10.124 466994 669511 10.357 466789 668952 10.315 466637 668360 10.393 467216 670083 10.171 466989 669500 10.461 466785 668942 10.364 466635 668349 10.378 467213 670074 10.192 466985 669491 10.568 466781 668931 10.384 466634 668338 10.383 467209 670063 10.277 466982 669481 10.538 466776 668919 10.425 466632 668327 10.614 467206 670054 10.318 466978 669470 10.504 466773 668909 10.427 466630 668321 10.659 467203 670045 10.329 466974 669460 10.522 466769 668899 10.399 466626 668316 10.541 467200 670036 10.334 466971 669450 10.538 466766 668889 10.357 466622 668312 10.453 467198 670026 10.501 466967 669443 10.435 466762 668877 10.443 466616 668308 10.502 467195 670016 10.568 466962 669434 10.332 466759 668865 10.522 466608 668303 10.52 467193 670007 10.576 466958 669426 10.341 466755 668855 10.586 466601 668297 10.631 467191 669997 10.591 466947 669399 10.317 466752 668844 10.671 466595 668291 10.54 467186 669979 10.619 466945 669395 10.314 466749 668833 10.659 466588 668284 10.521 467182 669969 10.587 466942 669384 10.332 466746 668822 10.609 466583 668279 10.581 467178 669959 10.593 466939 669375 10.432 466743 668811 10.564 466578 668271 10.605 467174 669949 10.642 466935 669363 10.498 466740 668800 10.611 466574 668264 10.611 467170 669939 10.696 466932 669354 10.546 466737 668789 10.619 466570 668255 10.617 467166 669929 10.671 466930 669344 10.597 466733 668777 10.626 466568 668250 10.532 467162 669919 10.661 466927 669335 10.489 466730 668766 10.539 467158 669911 10.63 466924 669327 10.349 466728 668756 10.565 467154 669902 10.675 466923 669322 10.379 466724 668744 10.56 467149 669894 10.649 466920 669314 10.386 466721 668733 10.565 467144 669885 10.55 466918 669304 10.22 466717 668723 10.598 467141 669878 10.481 466915 669294 10.146 466715 668713 10.545 467140 669878 10.795 466912 669282 10.059 466712 668702 10.549 467135 669869 10.788 466910 669273 10.06 466709 668691 10.553 467135 669869 10.609 466906 669263 10.037 466706 668680 10.602 467131 669862 10.557 466902 669253 10.054 466703 668669 10.566 467127 669854 10.605 466898 669242 10.042 466700 668659 10.569 467123 669843 10.609 466894 669233 10.116 466699 668653 10.53 467119 669833 10.659 466890 669222 10.174 466697 668648 10.57 467116 669823 10.708 466885 669212 10.216 466694 668644 10.668 467113 669813 10.748 466881 669202 10.199 466689 668640 10.187 467110 669804 10.74 466876 669193 10.214 466682 668632 10.222 467105 669787 10.586 466872 669183 10.196 466674 668624 10.27 467101 669778 10.597 466875 669191 9.626 466668 668616 10.338 467098 669770 10.63 466872 669183 9.601 466662 668608 10.374 467095 669762 10.669 466861 669159 9.698 466658 668601 10.445 467091 669752 10.668 466858 669150 9.724 466656 668595 10.443 467088 669744 10.719 466856 669141 9.89 466654 668588 10.407

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5.4 Walkway RL Survey 25-05-2011

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466584 668250 10.56 466583 668190 10.16 466578 668110 10.10 466559 668026 10.55 466582 668250 10.56 466581 668190 10.16 466576 668110 10.10 466557 668026 10.55 466605 668250 2.50 466602 668190 2.50 466597 668110 2.50 466579 668026 2.50 466607 668250 2.50 466604 668190 2.50 466599 668110 2.50 466581 668026 2.50 466582 668244 10.50 466585 668187 10.29 466576 668105 10.29 466558 668020 10.57 466580 668244 10.50 466583 668187 10.29 466574 668105 10.29 466556 668020 10.57 466602 668244 2.50 466604 668187 2.50 466595 668105 2.50 466579 668020 2.50 466604 668244 2.50 466606 668187 2.50 466597 668105 2.50 466581 668020 2.50 466580 668239 10.38 466588 668182 10.33 466574 668101 10.40 466558 668014 10.58 466578 668239 10.38 466586 668182 10.33 466572 668101 10.40 466556 668014 10.58 466599 668239 2.50 466607 668182 2.50 466594 668101 2.50 466579 668014 2.50 466601 668239 2.50 466609 668182 2.50 466596 668101 2.50 466581 668014 2.50 466578 668235 10.28 466590 668178 10.31 466572 668095 10.45 466558 668008 10.51 466576 668235 10.28 466588 668178 10.31 466570 668095 10.45 466556 668008 10.51 466598 668235 2.50 466609 668178 2.50 466592 668095 2.50 466578 668008 2.50 466600 668235 2.50 466611 668178 2.50 466594 668095 2.50 466580 668008 2.50 466577 668231 10.19 466591 668174 10.31 466569 668090 10.60 466559 668002 10.50 466575 668231 10.19 466589 668174 10.31 466567 668090 10.60 466557 668002 10.50 466596 668231 2.50 466610 668174 2.50 466590 668090 2.50 466579 668002 2.50 466598 668231 2.50 466612 668174 2.50 466592 668090 2.50 466581 668002 2.50 466576 668228 10.05 466591 668167 10.27 466567 668085 10.61 466558 667993 10.55 466574 668228 10.05 466589 668167 10.27 466565 668085 10.61 466556 667993 10.55 466595 668228 2.50 466610 668167 2.50 466588 668085 2.50 466578 667993 2.50 466597 668228 2.50 466612 668167 2.50 466590 668085 2.50 466580 667993 2.50 466575 668224 10.04 466590 668162 10.28 466566 668080 10.58 466558 667987 10.64 466573 668224 10.04 466588 668162 10.28 466564 668080 10.58 466556 667987 10.64 466594 668224 2.50 466610 668162 2.50 466586 668080 2.50 466579 667987 2.50 466596 668224 2.50 466612 668162 2.50 466588 668080 2.50 466581 667987 2.50 466574 668221 10.05 466589 668156 10.27 466564 668074 10.51 466558 667983 10.76 466572 668221 10.05 466587 668156 10.27 466562 668074 10.51 466556 667983 10.76 466593 668221 2.50 466609 668156 2.50 466584 668074 2.50 466578 667983 2.50 466595 668221 2.50 466611 668156 2.50 466586 668074 2.50 466580 667983 2.50 466574 668218 10.07 466588 668150 10.31 466562 668068 10.58 466558 667977 10.81 466572 668218 10.07 466586 668150 10.31 466560 668068 10.58 466556 667977 10.81 466593 668218 2.50 466608 668150 2.50 466583 668068 2.50 466578 667977 2.50 466595 668218 2.50 466610 668150 2.50 466585 668068 2.50 466580 667977 2.50 466574 668214 10.01 466587 668144 10.01 466561 668061 10.74 466557 667973 10.70 466572 668214 10.01 466585 668144 10.01 466559 668061 10.74 466555 667973 10.70 466593 668214 2.50 466606 668144 2.50 466582 668061 2.50 466577 667973 2.50 466595 668214 2.50 466608 668144 2.50 466584 668061 2.50 466579 667973 2.50 466575 668210 10.03 466586 668138 9.92 466561 668056 10.80 466555 667968 10.72 466573 668210 10.03 466584 668138 9.92 466559 668056 10.80 466553 667968 10.72 466594 668210 2.50 466605 668138 2.50 466581 668056 2.50 466575 667968 2.50 466596 668210 2.50 466607 668138 2.50 466583 668056 2.50 466577 667968 2.50 466576 668207 10.05 466585 668133 9.88 466560 668049 10.70 466553 667963 10.72 466574 668207 10.05 466583 668133 9.88 466558 668049 10.70 466551 667963 10.72 466595 668207 2.50 466604 668133 2.50 466580 668049 2.50 466574 667963 2.50 466597 668207 2.50 466606 668133 2.50 466582 668049 2.50 466576 667963 2.50 466577 668203 10.05 466584 668127 9.94 466559 668043 10.66 466552 667958 10.61 466575 668203 10.05 466582 668127 9.94 466557 668043 10.66 466550 667958 10.61 466596 668203 2.50 466603 668127 2.50 466580 668043 2.50 466572 667958 2.50 466598 668203 2.50 466605 668127 2.50 466582 668043 2.50 466574 667958 2.50 466578 668200 10.02 466583 668122 9.94 466559 668037 10.59 466550 667953 10.58 466576 668200 10.02 466581 668122 9.94 466557 668037 10.59 466548 667953 10.58 466597 668200 2.50 466602 668122 2.50 466579 668037 2.50 466570 667953 2.50 466599 668200 2.50 466604 668122 2.50 466581 668037 2.50 466572 667953 2.50 466580 668195 10.03 466580 668116 10.01 466559 668031 10.60 466548 667949 10.56 466578 668195 10.03 466578 668116 10.01 466557 668031 10.60 466546 667949 10.56 466599 668195 2.50 466599 668116 2.50 466579 668031 2.50 466568 667949 2.50 466601 668195 2.50 466601 668116 2.50 466581 668031 2.50 466570 667949 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466546 667944 10.52 466540 667876 8.91 466526 667798 10.52 466521 667716 10.53 466544 667944 10.52 466538 667876 8.91 466524 667798 10.52 466519 667716 10.53 466566 667944 2.50 466556 667876 2.50 466546 667798 2.50 466541 667716 2.50 466568 667944 2.50 466558 667876 2.50 466548 667798 2.50 466543 667716 2.50 466544 667939 10.49 466540 667873 9.21 466526 667792 10.56 466520 667711 10.47 466542 667939 10.49 466538 667873 9.21 466524 667792 10.56 466518 667711 10.47 466564 667939 2.50 466556 667873 2.50 466546 667792 2.50 466540 667711 2.50 466566 667939 2.50 466558 667873 2.50 466548 667792 2.50 466542 667711 2.50 466542 667933 10.37 466539 667869 9.88 466526 667787 10.55 466520 667705 10.46 466540 667933 10.37 466537 667869 9.88 466524 667787 10.55 466518 667705 10.46 466562 667933 2.50 466558 667869 2.50 466546 667787 2.50 466540 667705 2.50 466564 667933 2.50 466560 667869 2.50 466548 667787 2.50 466542 667705 2.50 466541 667929 10.36 466539 667864 10.53 466526 667783 10.51 466519 667699 10.40 466539 667929 10.36 466537 667864 10.53 466524 667783 10.51 466517 667699 10.40 466560 667929 2.50 466559 667864 2.50 466546 667783 2.50 466539 667699 2.50 466562 667929 2.50 466561 667864 2.50 466548 667783 2.50 466541 667699 2.50 466540 667925 10.32 466538 667860 10.58 466526 667777 10.50 466519 667692 10.26 466538 667925 10.32 466536 667860 10.58 466524 667777 10.50 466517 667692 10.26 466559 667925 2.50 466558 667860 2.50 466546 667777 2.50 466538 667692 2.50 466561 667925 2.50 466560 667860 2.50 466548 667777 2.50 466540 667692 2.50 466539 667921 10.22 466537 667855 10.54 466525 667772 10.54 466518 667686 10.25 466537 667921 10.22 466535 667855 10.54 466523 667772 10.54 466516 667686 10.25 466559 667921 2.50 466557 667855 2.50 466545 667772 2.50 466538 667686 2.50 466561 667921 2.50 466559 667855 2.50 466547 667772 2.50 466540 667686 2.50 466539 667917 10.19 466536 667849 10.53 466525 667768 10.62 466518 667680 10.17 466537 667917 10.19 466534 667849 10.53 466523 667768 10.62 466516 667680 10.17 466558 667917 2.50 466556 667849 2.50 466545 667768 2.50 466537 667680 2.50 466560 667917 2.50 466558 667849 2.50 466547 667768 2.50 466539 667680 2.50 466539 667913 10.19 466534 667844 10.59 466524 667763 10.75 466517 667674 10.19 466537 667913 10.19 466532 667844 10.59 466522 667763 10.75 466515 667674 10.19 466559 667913 2.50 466555 667844 2.50 466545 667763 2.50 466536 667674 2.50 466561 667913 2.50 466557 667844 2.50 466547 667763 2.50 466538 667674 2.50 466540 667908 10.24 466533 667839 10.64 466524 667757 10.82 466516 667668 10.20 466538 667908 10.24 466531 667839 10.64 466522 667757 10.82 466514 667668 10.20 466559 667908 2.50 466554 667839 2.50 466544 667757 2.50 466535 667668 2.50 466561 667908 2.50 466556 667839 2.50 466546 667757 2.50 466537 667668 2.50 466540 667903 10.21 466532 667833 10.62 466523 667751 10.80 466514 667654 10.24 466538 667903 10.21 466530 667833 10.62 466521 667751 10.80 466512 667654 10.24 466559 667903 2.50 466552 667833 2.50 466544 667751 2.50 466533 667654 2.50 466561 667903 2.50 466554 667833 2.50 466546 667751 2.50 466535 667654 2.50 466540 667897 10.09 466531 667828 10.59 466523 667746 10.80 466513 667648 10.13 466538 667897 10.09 466529 667828 10.59 466521 667746 10.80 466511 667648 10.13 466559 667897 2.50 466551 667828 2.50 466543 667746 2.50 466532 667648 2.50 466561 667897 2.50 466553 667828 2.50 466545 667746 2.50 466534 667648 2.50 466541 667891 10.05 466530 667822 10.65 466522 667740 10.78 466512 667642 10.14 466539 667891 10.05 466528 667822 10.65 466520 667740 10.78 466510 667642 10.14 466559 667891 2.50 466550 667822 2.50 466543 667740 2.50 466531 667642 2.50 466561 667891 2.50 466552 667822 2.50 466545 667740 2.50 466533 667642 2.50 466540 667888 9.57 466528 667816 10.62 466522 667734 10.77 466511 667636 10.04 466538 667888 9.57 466526 667816 10.62 466520 667734 10.77 466509 667636 10.04 466558 667888 2.50 466549 667816 2.50 466542 667734 2.50 466529 667636 2.50 466560 667888 2.50 466551 667816 2.50 466544 667734 2.50 466531 667636 2.50 466540 667884 9.07 466528 667810 10.51 466521 667727 10.77 466510 667631 9.89 466538 667884 9.07 466526 667810 10.51 466519 667727 10.77 466508 667631 9.89 466556 667884 2.50 466548 667810 2.50 466542 667727 2.50 466528 667631 2.50 466558 667884 2.50 466550 667810 2.50 466544 667727 2.50 466530 667631 2.50 466540 667880 8.90 466527 667804 10.43 466521 667721 10.68 466509 667625 9.91 466538 667880 8.90 466525 667804 10.43 466519 667721 10.68 466507 667625 9.91 466556 667880 2.50 466547 667804 2.50 466541 667721 2.50 466528 667625 2.50 466558 667880 2.50 466549 667804 2.50 466543 667721 2.50 466530 667625 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466508 667619 9.95 466506 667527 10.52 466506 667441 10.79 466499 667363 10.86 466506 667619 9.95 466504 667527 10.52 466504 667441 10.79 466497 667363 10.86 466527 667619 2.50 466526 667527 2.50 466527 667441 2.50 466520 667363 2.50 466529 667619 2.50 466528 667527 2.50 466529 667441 2.50 466522 667363 2.50 466507 667613 9.98 466506 667521 10.55 466506 667436 10.76 466499 667357 10.80 466505 667613 9.98 466504 667521 10.55 466504 667436 10.76 466497 667357 10.80 466526 667613 2.50 466526 667521 2.50 466526 667436 2.50 466519 667357 2.50 466528 667613 2.50 466528 667521 2.50 466528 667436 2.50 466521 667357 2.50 466507 667608 10.05 466506 667515 10.60 466505 667430 10.82 466498 667352 10.82 466505 667608 10.05 466504 667515 10.60 466503 667430 10.82 466496 667352 10.82 466526 667608 2.50 466526 667515 2.50 466526 667430 2.50 466519 667352 2.50 466528 667608 2.50 466528 667515 2.50 466528 667430 2.50 466521 667352 2.50 466506 667602 10.12 466506 667509 10.56 466505 667424 10.85 466498 667346 10.81 466504 667602 10.12 466504 667509 10.56 466503 667424 10.85 466496 667346 10.81 466525 667602 2.50 466526 667509 2.50 466526 667424 2.50 466518 667346 2.50 466527 667602 2.50 466528 667509 2.50 466528 667424 2.50 466520 667346 2.50 466506 667596 10.31 466506 667502 10.55 466504 667419 10.82 466497 667340 10.80 466504 667596 10.31 466504 667502 10.55 466502 667419 10.82 466495 667340 10.80 466525 667596 2.50 466526 667502 2.50 466525 667419 2.50 466518 667340 2.50 466527 667596 2.50 466528 667502 2.50 466527 667419 2.50 466520 667340 2.50 466505 667590 10.52 466506 667495 10.54 466504 667412 10.80 466496 667334 10.84 466503 667590 10.52 466504 667495 10.54 466502 667412 10.80 466494 667334 10.84 466525 667590 2.50 466526 667495 2.50 466525 667412 2.50 466517 667334 2.50 466527 667590 2.50 466528 667495 2.50 466527 667412 2.50 466519 667334 2.50 466506 667584 10.55 466506 667489 10.51 466503 667407 10.81 466496 667328 10.83 466504 667584 10.55 466504 667489 10.51 466501 667407 10.81 466494 667328 10.83 466526 667584 2.50 466526 667489 2.50 466524 667407 2.50 466516 667328 2.50 466528 667584 2.50 466528 667489 2.50 466526 667407 2.50 466518 667328 2.50 466506 667577 10.61 466506 667484 10.51 466503 667401 10.86 466495 667321 10.88 466504 667577 10.61 466504 667484 10.51 466501 667401 10.86 466493 667321 10.88 466526 667577 2.50 466526 667484 2.50 466524 667401 2.50 466516 667321 2.50 466528 667577 2.50 466528 667484 2.50 466526 667401 2.50 466518 667321 2.50 466506 667570 10.62 466507 667477 10.52 466502 667395 10.83 466494 667316 10.90 466504 667570 10.62 466505 667477 10.52 466500 667395 10.83 466492 667316 10.90 466526 667570 2.50 466527 667477 2.50 466523 667395 2.50 466515 667316 2.50 466528 667570 2.50 466529 667477 2.50 466525 667395 2.50 466517 667316 2.50 466505 667564 10.68 466507 667471 10.55 466502 667389 10.80 466494 667310 10.78 466503 667564 10.68 466505 667471 10.55 466500 667389 10.80 466492 667310 10.78 466526 667564 2.50 466527 667471 2.50 466523 667389 2.50 466515 667310 2.50 466528 667564 2.50 466529 667471 2.50 466525 667389 2.50 466517 667310 2.50 466505 667558 10.68 466507 667465 10.67 466501 667384 10.89 466495 667304 10.59 466503 667558 10.68 466505 667465 10.67 466499 667384 10.89 466493 667304 10.59 466526 667558 2.50 466527 667465 2.50 466522 667384 2.50 466515 667304 2.50 466528 667558 2.50 466529 667465 2.50 466524 667384 2.50 466517 667304 2.50 466505 667552 10.66 466506 667458 10.71 466502 667384 10.89 466496 667297 10.47 466503 667552 10.66 466504 667458 10.71 466500 667384 10.89 466494 667297 10.47 466526 667552 2.50 466527 667458 2.50 466523 667384 2.50 466516 667297 2.50 466528 667552 2.50 466529 667458 2.50 466525 667384 2.50 466518 667297 2.50 466505 667546 10.64 466506 667452 10.78 466500 667374 10.88 466497 667292 10.51 466503 667546 10.64 466504 667452 10.78 466498 667374 10.88 466495 667292 10.51 466526 667546 2.50 466527 667452 2.50 466521 667374 2.50 466517 667292 2.50 466528 667546 2.50 466529 667452 2.50 466523 667374 2.50 466519 667292 2.50 466505 667540 10.58 466506 667447 10.80 466501 667374 10.97 466498 667286 10.52 466503 667540 10.58 466504 667447 10.80 466499 667374 10.97 466496 667286 10.52 466526 667540 2.50 466527 667447 2.50 466522 667374 2.50 466518 667286 2.50 466528 667540 2.50 466529 667447 2.50 466524 667374 2.50 466520 667286 2.50 466506 667533 10.52 466497 667444 11.11 466500 667369 10.88 466499 667281 10.54 466504 667533 10.52 466495 667444 11.11 466498 667369 10.88 466497 667281 10.54 466526 667533 2.50 466519 667444 2.50 466521 667369 2.50 466519 667281 2.50 466528 667533 2.50 466521 667444 2.50 466523 667369 2.50 466521 667281 2.50

Page 164 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466501 667274 10.51 466529 667176 10.76 466532 667086 10.91 466539 666997 10.58 466499 667274 10.51 466527 667176 10.76 466530 667086 10.91 466537 666997 10.58 466521 667274 2.50 466550 667176 2.50 466553 667086 2.50 466559 666997 2.50 466523 667274 2.50 466552 667176 2.50 466555 667086 2.50 466561 666997 2.50 466502 667267 10.45 466531 667169 10.89 466532 667080 10.94 466540 666991 10.53 466500 667267 10.45 466529 667169 10.89 466530 667080 10.94 466538 666991 10.53 466522 667267 2.50 466552 667169 2.50 466553 667080 2.50 466560 666991 2.50 466524 667267 2.50 466554 667169 2.50 466555 667080 2.50 466562 666991 2.50 466504 667261 10.31 466532 667163 10.90 466532 667074 10.89 466540 666985 10.55 466502 667261 10.31 466530 667163 10.90 466530 667074 10.89 466538 666985 10.55 466524 667261 2.50 466553 667163 2.50 466553 667074 2.50 466560 666985 2.50 466526 667261 2.50 466555 667163 2.50 466555 667074 2.50 466562 666985 2.50 466507 667248 10.28 466533 667157 10.93 466532 667068 10.87 466541 666979 10.54 466505 667248 10.28 466531 667157 10.93 466530 667068 10.87 466539 666979 10.54 466527 667248 2.50 466554 667157 2.50 466553 667068 2.50 466561 666979 2.50 466529 667248 2.50 466556 667157 2.50 466555 667068 2.50 466563 666979 2.50 466509 667243 10.30 466534 667151 10.89 466533 667062 10.89 466541 666973 10.54 466507 667243 10.30 466532 667151 10.89 466531 667062 10.89 466539 666973 10.54 466528 667243 2.50 466555 667151 2.50 466553 667062 2.50 466561 666973 2.50 466530 667243 2.50 466557 667151 2.50 466555 667062 2.50 466563 666973 2.50 466510 667237 10.40 466535 667145 10.89 466533 667057 10.85 466542 666966 10.52 466508 667237 10.40 466533 667145 10.89 466531 667057 10.85 466540 666966 10.52 466530 667237 2.50 466556 667145 2.50 466554 667057 2.50 466562 666966 2.50 466532 667237 2.50 466558 667145 2.50 466556 667057 2.50 466564 666966 2.50 466512 667231 10.39 466535 667140 10.90 466533 667051 10.83 466543 666957 10.50 466510 667231 10.39 466533 667140 10.90 466531 667051 10.83 466541 666957 10.50 466532 667231 2.50 466556 667140 2.50 466554 667051 2.50 466563 666957 2.50 466534 667231 2.50 466558 667140 2.50 466556 667051 2.50 466565 666957 2.50 466514 667225 10.27 466535 667133 10.88 466534 667044 10.77 466544 666950 10.49 466512 667225 10.27 466533 667133 10.88 466532 667044 10.77 466542 666950 10.49 466534 667225 2.50 466556 667133 2.50 466555 667044 2.50 466564 666950 2.50 466536 667225 2.50 466558 667133 2.50 466557 667044 2.50 466566 666950 2.50 466516 667219 10.26 466535 667128 10.92 466534 667039 10.75 466546 666937 10.50 466514 667219 10.26 466533 667128 10.92 466532 667039 10.75 466544 666937 10.50 466536 667219 2.50 466556 667128 2.50 466555 667039 2.50 466566 666937 2.50 466538 667219 2.50 466558 667128 2.50 466557 667039 2.50 466568 666937 2.50 466518 667213 10.23 466535 667122 10.91 466535 667033 10.69 466547 666931 10.50 466516 667213 10.23 466533 667122 10.91 466533 667033 10.69 466545 666931 10.50 466538 667213 2.50 466556 667122 2.50 466555 667033 2.50 466567 666931 2.50 466540 667213 2.50 466558 667122 2.50 466557 667033 2.50 466569 666931 2.50 466520 667206 10.31 466535 667116 10.87 466536 667027 10.65 466547 666926 10.52 466518 667206 10.31 466533 667116 10.87 466534 667027 10.65 466545 666926 10.52 466540 667206 2.50 466556 667116 2.50 466556 667027 2.50 466567 666926 2.50 466542 667206 2.50 466558 667116 2.50 466558 667027 2.50 466569 666926 2.50 466522 667200 10.44 466535 667110 10.96 466536 667020 10.61 466548 666920 10.52 466520 667200 10.44 466533 667110 10.96 466534 667020 10.61 466546 666920 10.52 466542 667200 2.50 466556 667110 2.50 466557 667020 2.50 466568 666920 2.50 466544 667200 2.50 466558 667110 2.50 466559 667020 2.50 466570 666920 2.50 466524 667193 10.56 466534 667104 10.93 466537 667014 10.58 466549 666915 10.52 466522 667193 10.56 466532 667104 10.93 466535 667014 10.58 466547 666915 10.52 466544 667193 2.50 466555 667104 2.50 466557 667014 2.50 466569 666915 2.50 466546 667193 2.50 466557 667104 2.50 466559 667014 2.50 466571 666915 2.50 466526 667187 10.66 466533 667098 10.91 466538 667008 10.59 466549 666910 10.55 466524 667187 10.66 466531 667098 10.91 466536 667008 10.59 466547 666910 10.55 466546 667187 2.50 466554 667098 2.50 466558 667008 2.50 466570 666910 2.50 466548 667187 2.50 466556 667098 2.50 466560 667008 2.50 466572 666910 2.50 466527 667181 10.72 466533 667092 10.91 466538 667003 10.58 466550 666905 10.52 466525 667181 10.72 466531 667092 10.91 466536 667003 10.58 466548 666905 10.52 466548 667181 2.50 466554 667092 2.50 466559 667003 2.50 466570 666905 2.50 466550 667181 2.50 466556 667092 2.50 466561 667003 2.50 466572 666905 2.50

Page 165 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466552 666894 10.50 466562 666819 10.52 466574 666737 10.19 466570 666653 10.52 466550 666894 10.50 466560 666819 10.52 466572 666737 10.19 466568 666653 10.52 466572 666894 2.50 466582 666819 2.50 466593 666737 2.50 466590 666653 2.50 466574 666894 2.50 466584 666819 2.50 466595 666737 2.50 466592 666653 2.50 466552 666894 10.52 466563 666812 10.57 466574 666731 10.22 466570 666647 10.51 466550 666894 10.52 466561 666812 10.57 466572 666731 10.22 466568 666647 10.51 466572 666894 2.50 466583 666812 2.50 466594 666731 2.50 466590 666647 2.50 466574 666894 2.50 466585 666812 2.50 466596 666731 2.50 466592 666647 2.50 466552 666890 10.54 466564 666807 10.56 466575 666726 10.25 466570 666641 10.48 466550 666890 10.54 466562 666807 10.56 466573 666726 10.25 466568 666641 10.48 466573 666890 2.50 466584 666807 2.50 466595 666726 2.50 466590 666641 2.50 466575 666890 2.50 466586 666807 2.50 466597 666726 2.50 466592 666641 2.50 466553 666884 10.50 466565 666802 10.62 466575 666720 10.19 466570 666635 10.49 466551 666884 10.50 466563 666802 10.62 466573 666720 10.19 466568 666635 10.49 466573 666884 2.50 466585 666802 2.50 466595 666720 2.50 466590 666635 2.50 466575 666884 2.50 466587 666802 2.50 466597 666720 2.50 466592 666635 2.50 466554 666879 10.50 466566 666797 10.63 466576 666714 10.04 466571 666629 10.54 466552 666879 10.50 466564 666797 10.63 466574 666714 10.04 466569 666629 10.54 466574 666879 2.50 466586 666797 2.50 466595 666714 2.50 466591 666629 2.50 466576 666879 2.50 466588 666797 2.50 466597 666714 2.50 466593 666629 2.50 466555 666874 10.50 466566 666791 10.62 466576 666710 9.85 466572 666623 10.53 466553 666874 10.50 466564 666791 10.62 466574 666710 9.85 466570 666623 10.53 466575 666874 2.50 466587 666791 2.50 466594 666710 2.50 466592 666623 2.50 466577 666874 2.50 466589 666791 2.50 466596 666710 2.50 466594 666623 2.50 466556 666869 10.53 466567 666786 10.55 466575 666704 9.89 466573 666611 10.49 466554 666869 10.53 466565 666786 10.55 466573 666704 9.89 466571 666611 10.49 466576 666869 2.50 466587 666786 2.50 466594 666704 2.50 466593 666611 2.50 466578 666869 2.50 466589 666786 2.50 466596 666704 2.50 466595 666611 2.50 466556 666863 10.51 466568 666780 10.43 466574 666699 10.16 466574 666606 10.49 466554 666863 10.51 466566 666780 10.43 466572 666699 10.16 466572 666606 10.49 466577 666863 2.50 466588 666780 2.50 466594 666699 2.50 466594 666606 2.50 466579 666863 2.50 466590 666780 2.50 466596 666699 2.50 466596 666606 2.50 466557 666857 10.55 466569 666775 10.27 466574 666693 10.21 466574 666600 10.48 466555 666857 10.55 466567 666775 10.27 466572 666693 10.21 466572 666600 10.48 466577 666857 2.50 466588 666775 2.50 466593 666693 2.50 466594 666600 2.50 466579 666857 2.50 466590 666775 2.50 466595 666693 2.50 466596 666600 2.50 466558 666852 10.58 466570 666770 10.20 466573 666687 10.21 466575 666594 10.51 466556 666852 10.58 466568 666770 10.20 466571 666687 10.21 466573 666594 10.51 466578 666852 2.50 466589 666770 2.50 466592 666687 2.50 466595 666594 2.50 466580 666852 2.50 466591 666770 2.50 466594 666687 2.50 466597 666594 2.50 466559 666846 10.57 466570 666765 10.20 466572 666681 10.21 466576 666588 10.53 466557 666846 10.57 466568 666765 10.20 466570 666681 10.21 466574 666588 10.53 466579 666846 2.50 466589 666765 2.50 466592 666681 2.50 466596 666588 2.50 466581 666846 2.50 466591 666765 2.50 466594 666681 2.50 466598 666588 2.50 466560 666840 10.54 466571 666758 10.20 466572 666676 10.28 466576 666582 10.54 466558 666840 10.54 466569 666758 10.20 466570 666676 10.28 466574 666582 10.54 466580 666840 2.50 466590 666758 2.50 466591 666676 2.50 466597 666582 2.50 466582 666840 2.50 466592 666758 2.50 466593 666676 2.50 466599 666582 2.50 466560 666835 10.56 466571 666753 10.20 466571 666670 10.28 466577 666577 10.54 466558 666835 10.56 466569 666753 10.20 466569 666670 10.28 466575 666577 10.54 466580 666835 2.50 466591 666753 2.50 466591 666670 2.50 466597 666577 2.50 466582 666835 2.50 466593 666753 2.50 466593 666670 2.50 466599 666577 2.50 466561 666829 10.55 466572 666746 10.19 466571 666664 10.35 466578 666571 10.49 466559 666829 10.55 466570 666746 10.19 466569 666664 10.35 466576 666571 10.49 466581 666829 2.50 466592 666746 2.50 466590 666664 2.50 466598 666571 2.50 466583 666829 2.50 466594 666746 2.50 466592 666664 2.50 466600 666571 2.50 466562 666824 10.55 466573 666742 10.19 466570 666659 10.49 466578 666565 10.48 466560 666824 10.55 466571 666742 10.19 466568 666659 10.49 466576 666565 10.48 466582 666824 2.50 466592 666742 2.50 466590 666659 2.50 466598 666565 2.50 466584 666824 2.50 466594 666742 2.50 466592 666659 2.50 466600 666565 2.50

Page 166 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466579 666558 10.53 466590 666470 10.30 466607 666378 10.22 466629 666286 10.15 466577 666558 10.53 466588 666470 10.30 466605 666378 10.22 466627 666286 10.15 466599 666558 2.50 466610 666470 2.50 466626 666378 2.50 466648 666286 2.50 466601 666558 2.50 466612 666470 2.50 466628 666378 2.50 466650 666286 2.50 466580 666553 10.47 466591 666464 10.24 466608 666372 10.27 466631 666280 10.20 466578 666553 10.47 466589 666464 10.24 466606 666372 10.27 466629 666280 10.20 466600 666553 2.50 466611 666464 2.50 466628 666372 2.50 466650 666280 2.50 466602 666553 2.50 466613 666464 2.50 466630 666372 2.50 466652 666280 2.50 466581 666547 10.41 466592 666458 10.28 466610 666365 10.26 466579 666547 10.41 466590 666458 10.28 466608 666365 10.26 466600 666547 2.50 466611 666458 2.50 466629 666365 2.50 466602 666547 2.50 466613 666458 2.50 466631 666365 2.50 466581 666541 10.38 466593 666453 10.25 466611 666359 10.26 466579 666541 10.38 466591 666453 10.25 466609 666359 10.26 466601 666541 2.50 466612 666453 2.50 466630 666359 2.50 466603 666541 2.50 466614 666453 2.50 466632 666359 2.50 466582 666536 10.28 466594 666447 10.06 466612 666353 10.24 466580 666536 10.28 466592 666447 10.06 466610 666353 10.24 466602 666536 2.50 466613 666447 2.50 466632 666353 2.50 466604 666536 2.50 466615 666447 2.50 466634 666353 2.50 466583 666530 10.27 466595 666441 9.84 466614 666347 10.23 466581 666530 10.27 466593 666441 9.84 466612 666347 10.23 466602 666530 2.50 466613 666441 2.50 466633 666347 2.50 466604 666530 2.50 466615 666441 2.50 466635 666347 2.50 466583 666523 10.28 466596 666436 9.85 466615 666341 10.26 466581 666523 10.28 466594 666436 9.85 466613 666341 10.26 466603 666523 2.50 466614 666436 2.50 466634 666341 2.50 466605 666523 2.50 466616 666436 2.50 466636 666341 2.50 466584 666517 10.26 466597 666429 9.83 466616 666335 10.21 466582 666517 10.26 466595 666429 9.83 466614 666335 10.21 466603 666517 2.50 466615 666429 2.50 466636 666335 2.50 466605 666517 2.50 466617 666429 2.50 466638 666335 2.50 466585 666512 10.25 466598 666423 9.83 466618 666329 10.20 466583 666512 10.25 466596 666423 9.83 466616 666329 10.20 466604 666512 2.50 466616 666423 2.50 466637 666329 2.50 466606 666512 2.50 466618 666423 2.50 466639 666329 2.50 466586 666506 10.22 466599 666416 9.79 466619 666323 10.23 466584 666506 10.22 466597 666416 9.79 466617 666323 10.23 466605 666506 2.50 466618 666416 2.50 466639 666323 2.50 466607 666506 2.50 466620 666416 2.50 466641 666323 2.50 466586 666500 10.20 466600 666410 9.98 466621 666317 10.22 466584 666500 10.20 466598 666410 9.98 466619 666317 10.22 466606 666500 2.50 466619 666410 2.50 466640 666317 2.50 466608 666500 2.50 466621 666410 2.50 466642 666317 2.50 466587 666494 10.22 466602 666403 10.13 466622 666311 10.20 466585 666494 10.22 466600 666403 10.13 466620 666311 10.20 466606 666494 2.50 466621 666403 2.50 466642 666311 2.50 466608 666494 2.50 466623 666403 2.50 466644 666311 2.50 466588 666487 10.26 466603 666397 10.24 466624 666305 10.16 466586 666487 10.26 466601 666397 10.24 466622 666305 10.16 466607 666487 2.50 466622 666397 2.50 466643 666305 2.50 466609 666487 2.50 466624 666397 2.50 466645 666305 2.50 466589 666482 10.25 466604 666391 10.24 466626 666298 10.11 466587 666482 10.25 466602 666391 10.24 466624 666298 10.11 466608 666482 2.50 466624 666391 2.50 466645 666298 2.50 466610 666482 2.50 466626 666391 2.50 466647 666298 2.50 466590 666476 10.28 466606 666385 10.22 466628 666292 10.12 466588 666476 10.28 466604 666385 10.22 466626 666292 10.12 466609 666476 2.50 466625 666385 2.50 466647 666292 2.50 466611 666476 2.50 466627 666385 2.50 466649 666292 2.50

Page 167 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

5.5 Walkway RL Survey 24-05-2011

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466630 666280 10.22 466651 666212 10.14 466674 666156 10.12 466702 666095 10.05 466628 666280 10.22 466649 666212 10.14 466672 666156 10.12 466700 666095 10.05 466650 666280 2.50 466670 666212 2.50 466693 666156 2.50 466721 666095 2.50 466648 666280 2.50 466668 666212 2.50 466691 666156 2.50 466719 666095 2.50 466652 666280 2.50 466672 666212 2.50 466695 666156 2.50 466723 666095 2.50 466650 666280 2.50 466670 666212 2.50 466693 666156 2.50 466721 666095 2.50 466634 666269 10.13 466653 666206 10.13 466677 666150 10.14 466705 666090 10.10 466632 666269 10.13 466651 666206 10.13 466675 666150 10.14 466703 666090 10.10 466653 666269 2.50 466672 666206 2.50 466696 666150 2.50 466724 666090 2.50 466651 666269 2.50 466670 666206 2.50 466694 666150 2.50 466722 666090 2.50 466655 666269 2.50 466674 666206 2.50 466698 666150 2.50 466726 666090 2.50 466653 666269 2.50 466672 666206 2.50 466696 666150 2.50 466724 666090 2.50 466636 666261 10.12 466655 666200 10.08 466680 666143 10.12 466707 666084 10.10 466634 666261 10.12 466653 666200 10.08 466678 666143 10.12 466705 666084 10.10 466655 666261 2.50 466674 666200 2.50 466699 666143 2.50 466726 666084 2.50 466653 666261 2.50 466672 666200 2.50 466697 666143 2.50 466724 666084 2.50 466657 666261 2.50 466676 666200 2.50 466701 666143 2.50 466728 666084 2.50 466655 666261 2.50 466674 666200 2.50 466699 666143 2.50 466726 666084 2.50 466638 666255 10.11 466657 666194 10.03 466683 666137 10.07 466711 666077 10.16 466636 666255 10.11 466655 666194 10.03 466681 666137 10.07 466709 666077 10.16 466657 666255 2.50 466676 666194 2.50 466702 666137 2.50 466730 666077 2.50 466655 666255 2.50 466674 666194 2.50 466700 666137 2.50 466728 666077 2.50 466659 666255 2.50 466678 666194 2.50 466704 666137 2.50 466732 666077 2.50 466657 666255 2.50 466676 666194 2.50 466702 666137 2.50 466730 666077 2.50 466639 666249 10.11 466660 666188 10.06 466686 666131 10.04 466713 666070 10.14 466637 666249 10.11 466658 666188 10.06 466684 666131 10.04 466711 666070 10.14 466658 666249 2.50 466679 666188 2.50 466705 666131 2.50 466732 666070 2.50 466656 666249 2.50 466677 666188 2.50 466703 666131 2.50 466730 666070 2.50 466660 666249 2.50 466681 666188 2.50 466707 666131 2.50 466734 666070 2.50 466658 666249 2.50 466679 666188 2.50 466705 666131 2.50 466732 666070 2.50 466641 666243 10.10 466662 666182 10.05 466689 666125 10.03 466716 666063 10.14 466639 666243 10.10 466660 666182 10.05 466687 666125 10.03 466714 666063 10.14 466660 666243 2.50 466681 666182 2.50 466708 666125 2.50 466735 666063 2.50 466658 666243 2.50 466679 666182 2.50 466706 666125 2.50 466733 666063 2.50 466662 666243 2.50 466683 666182 2.50 466710 666125 2.50 466737 666063 2.50 466660 666243 2.50 466681 666182 2.50 466708 666125 2.50 466735 666063 2.50 466643 666237 10.09 466664 666177 10.06 466692 666120 10.00 466718 666057 10.08 466641 666237 10.09 466662 666177 10.06 466690 666120 10.00 466716 666057 10.08 466662 666237 2.50 466683 666177 2.50 466710 666120 2.50 466737 666057 2.50 466660 666237 2.50 466681 666177 2.50 466708 666120 2.50 466735 666057 2.50 466664 666237 2.50 466685 666177 2.50 466712 666120 2.50 466739 666057 2.50 466662 666237 2.50 466683 666177 2.50 466710 666120 2.50 466737 666057 2.50 466645 666231 10.01 466667 666172 10.04 466694 666113 9.96 466720 666050 10.11 466643 666231 10.01 466665 666172 10.04 466692 666113 9.96 466718 666050 10.11 466664 666231 2.50 466686 666172 2.50 466713 666113 2.50 466739 666050 2.50 466662 666231 2.50 466684 666172 2.50 466711 666113 2.50 466737 666050 2.50 466666 666231 2.50 466688 666172 2.50 466715 666113 2.50 466741 666050 2.50 466664 666231 2.50 466686 666172 2.50 466713 666113 2.50 466739 666050 2.50 466647 666224 10.09 466669 666166 10.07 466697 666107 9.99 466722 666043 10.12 466645 666224 10.09 466667 666166 10.07 466695 666107 9.99 466720 666043 10.12 466666 666224 2.50 466688 666166 2.50 466716 666107 2.50 466741 666043 2.50 466664 666224 2.50 466686 666166 2.50 466714 666107 2.50 466739 666043 2.50 466668 666224 2.50 466690 666166 2.50 466718 666107 2.50 466743 666043 2.50 466666 666224 2.50 466688 666166 2.50 466716 666107 2.50 466741 666043 2.50 466649 666218 10.09 466672 666161 10.08 466700 666101 10.05 466723 666036 10.13 466647 666218 10.09 466670 666161 10.08 466698 666101 10.05 466721 666036 10.13 466668 666218 2.50 466691 666161 2.50 466719 666101 2.50 466742 666036 2.50 466666 666218 2.50 466689 666161 2.50 466717 666101 2.50 466740 666036 2.50 466670 666218 2.50 466693 666161 2.50 466721 666101 2.50 466744 666036 2.50 466668 666218 2.50 466691 666161 2.50 466719 666101 2.50 466742 666036 2.50

Page 168 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466725 666029 10.18 466740 665961 10.18 466755 665892 10.07 466775 665828 10.11 466723 666029 10.18 466738 665961 10.18 466753 665892 10.07 466773 665828 10.11 466744 666029 2.50 466759 665961 2.50 466773 665892 2.50 466794 665828 2.50 466742 666029 2.50 466757 665961 2.50 466771 665892 2.50 466792 665828 2.50 466746 666029 2.50 466761 665961 2.50 466775 665892 2.50 466796 665828 2.50 466744 666029 2.50 466759 665961 2.50 466773 665892 2.50 466794 665828 2.50 466726 666022 10.15 466741 665954 10.14 466756 665885 10.19 466777 665822 10.17 466724 666022 10.15 466739 665954 10.14 466754 665885 10.19 466775 665822 10.17 466746 666022 2.50 466760 665954 2.50 466775 665885 2.50 466796 665822 2.50 466744 666022 2.50 466758 665954 2.50 466773 665885 2.50 466794 665822 2.50 466748 666022 2.50 466762 665954 2.50 466777 665885 2.50 466798 665822 2.50 466746 666022 2.50 466760 665954 2.50 466775 665885 2.50 466796 665822 2.50 466728 666014 10.11 466743 665947 10.08 466757 665879 10.19 466779 665816 10.23 466726 666014 10.11 466741 665947 10.08 466755 665879 10.19 466777 665816 10.23 466747 666014 2.50 466762 665947 2.50 466777 665879 2.50 466799 665816 2.50 466745 666014 2.50 466760 665947 2.50 466775 665879 2.50 466797 665816 2.50 466749 666014 2.50 466764 665947 2.50 466779 665879 2.50 466801 665816 2.50 466747 666014 2.50 466762 665947 2.50 466777 665879 2.50 466799 665816 2.50 466730 666007 10.07 466745 665939 10.07 466759 665873 10.19 466781 665810 10.25 466728 666007 10.07 466743 665939 10.07 466757 665873 10.19 466779 665810 10.25 466749 666007 2.50 466764 665939 2.50 466779 665873 2.50 466801 665810 2.50 466747 666007 2.50 466762 665939 2.50 466777 665873 2.50 466799 665810 2.50 466751 666007 2.50 466766 665939 2.50 466781 665873 2.50 466803 665810 2.50 466749 666007 2.50 466764 665939 2.50 466779 665873 2.50 466801 665810 2.50 466731 666001 10.02 466746 665933 10.00 466761 665866 10.23 466783 665804 10.24 466729 666001 10.02 466744 665933 10.00 466759 665866 10.23 466781 665804 10.24 466750 666001 2.50 466765 665933 2.50 466781 665866 2.50 466803 665804 2.50 466748 666001 2.50 466763 665933 2.50 466779 665866 2.50 466801 665804 2.50 466752 666001 2.50 466767 665933 2.50 466783 665866 2.50 466805 665804 2.50 466750 666001 2.50 466765 665933 2.50 466781 665866 2.50 466803 665804 2.50 466732 665995 10.02 466748 665925 10.01 466763 665860 10.27 466786 665798 10.16 466730 665995 10.02 466746 665925 10.01 466761 665860 10.27 466784 665798 10.16 466751 665995 2.50 466767 665925 2.50 466783 665860 2.50 466805 665798 2.50 466749 665995 2.50 466765 665925 2.50 466781 665860 2.50 466803 665798 2.50 466753 665995 2.50 466769 665925 2.50 466785 665860 2.50 466807 665798 2.50 466751 665995 2.50 466767 665925 2.50 466783 665860 2.50 466805 665798 2.50 466734 665987 10.01 466749 665918 10.05 466766 665853 10.20 466788 665794 10.15 466732 665987 10.01 466747 665918 10.05 466764 665853 10.20 466786 665794 10.15 466753 665987 2.50 466768 665918 2.50 466785 665853 2.50 466807 665794 2.50 466751 665987 2.50 466766 665918 2.50 466783 665853 2.50 466805 665794 2.50 466755 665987 2.50 466770 665918 2.50 466787 665853 2.50 466809 665794 2.50 466753 665987 2.50 466768 665918 2.50 466785 665853 2.50 466807 665794 2.50 466735 665981 10.09 466751 665911 10.07 466768 665846 10.20 466792 665781 10.00 466733 665981 10.09 466749 665911 10.07 466766 665846 10.20 466790 665781 10.00 466754 665981 2.50 466770 665911 2.50 466788 665846 2.50 466811 665781 2.50 466752 665981 2.50 466768 665911 2.50 466786 665846 2.50 466809 665781 2.50 466756 665981 2.50 466772 665911 2.50 466790 665846 2.50 466813 665781 2.50 466754 665981 2.50 466770 665911 2.50 466788 665846 2.50 466811 665781 2.50 466737 665974 10.15 466752 665904 10.06 466771 665840 10.15 466794 665775 10.06 466735 665974 10.15 466750 665904 10.06 466769 665840 10.15 466792 665775 10.06 466756 665974 2.50 466771 665904 2.50 466790 665840 2.50 466813 665775 2.50 466754 665974 2.50 466769 665904 2.50 466788 665840 2.50 466811 665775 2.50 466758 665974 2.50 466773 665904 2.50 466792 665840 2.50 466815 665775 2.50 466756 665974 2.50 466771 665904 2.50 466790 665840 2.50 466813 665775 2.50 466738 665968 10.16 466753 665898 10.07 466773 665834 10.12 466796 665770 10.10 466736 665968 10.16 466751 665898 10.07 466771 665834 10.12 466794 665770 10.10 466757 665968 2.50 466772 665898 2.50 466792 665834 2.50 466815 665770 2.50 466755 665968 2.50 466770 665898 2.50 466790 665834 2.50 466813 665770 2.50 466759 665968 2.50 466774 665898 2.50 466794 665834 2.50 466817 665770 2.50 466757 665968 2.50 466772 665898 2.50 466792 665834 2.50 466815 665770 2.50

Page 169 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466798 665764 10.08 466820 665708 10.22 466841 665647 10.21 466862 665584 10.06 466796 665764 10.08 466818 665708 10.22 466839 665647 10.21 466860 665584 10.06 466817 665764 2.50 466839 665708 2.50 466860 665647 2.50 466881 665584 2.50 466815 665764 2.50 466837 665708 2.50 466858 665647 2.50 466879 665584 2.50 466819 665764 2.50 466841 665708 2.50 466862 665647 2.50 466883 665584 2.50 466817 665764 2.50 466839 665708 2.50 466860 665647 2.50 466881 665584 2.50 466800 665758 10.10 466822 665702 10.27 466843 665641 10.17 466865 665579 10.21 466798 665758 10.10 466820 665702 10.27 466841 665641 10.17 466863 665579 10.21 466819 665758 2.50 466841 665702 2.50 466862 665641 2.50 466884 665579 2.50 466817 665758 2.50 466839 665702 2.50 466860 665641 2.50 466882 665579 2.50 466821 665758 2.50 466843 665702 2.50 466864 665641 2.50 466886 665579 2.50 466819 665758 2.50 466841 665702 2.50 466862 665641 2.50 466884 665579 2.50 466802 665753 10.10 466824 665696 10.28 466845 665635 10.07 466868 665573 10.28 466800 665753 10.10 466822 665696 10.28 466843 665635 10.07 466866 665573 10.28 466821 665753 2.50 466843 665696 2.50 466864 665635 2.50 466888 665573 2.50 466819 665753 2.50 466841 665696 2.50 466862 665635 2.50 466886 665573 2.50 466823 665753 2.50 466845 665696 2.50 466866 665635 2.50 466890 665573 2.50 466821 665753 2.50 466843 665696 2.50 466864 665635 2.50 466888 665573 2.50 466805 665747 10.10 466826 665690 10.29 466847 665628 10.00 466872 665566 10.31 466803 665747 10.10 466824 665690 10.29 466845 665628 10.00 466870 665566 10.31 466824 665747 2.50 466845 665690 2.50 466866 665628 2.50 466891 665566 2.50 466822 665747 2.50 466843 665690 2.50 466864 665628 2.50 466889 665566 2.50 466826 665747 2.50 466847 665690 2.50 466868 665628 2.50 466893 665566 2.50 466824 665747 2.50 466845 665690 2.50 466866 665628 2.50 466891 665566 2.50 466807 665742 10.10 466828 665684 10.30 466849 665622 9.97 466875 665560 10.24 466805 665742 10.10 466826 665684 10.30 466847 665622 9.97 466873 665560 10.24 466826 665742 2.50 466848 665684 2.50 466868 665622 2.50 466894 665560 2.50 466824 665742 2.50 466846 665684 2.50 466866 665622 2.50 466892 665560 2.50 466828 665742 2.50 466850 665684 2.50 466870 665622 2.50 466896 665560 2.50 466826 665742 2.50 466848 665684 2.50 466868 665622 2.50 466894 665560 2.50 466810 665736 10.06 466830 665678 10.28 466851 665615 9.99 466878 665554 10.16 466808 665736 10.06 466828 665678 10.28 466849 665615 9.99 466876 665554 10.16 466828 665736 2.50 466850 665678 2.50 466870 665615 2.50 466897 665554 2.50 466826 665736 2.50 466848 665678 2.50 466868 665615 2.50 466895 665554 2.50 466830 665736 2.50 466852 665678 2.50 466872 665615 2.50 466899 665554 2.50 466828 665736 2.50 466850 665678 2.50 466870 665615 2.50 466897 665554 2.50 466812 665730 10.06 466832 665673 10.27 466853 665609 9.96 466880 665548 10.14 466810 665730 10.06 466830 665673 10.27 466851 665609 9.96 466878 665548 10.14 466831 665730 2.50 466852 665673 2.50 466872 665609 2.50 466899 665548 2.50 466829 665730 2.50 466850 665673 2.50 466870 665609 2.50 466897 665548 2.50 466833 665730 2.50 466854 665673 2.50 466874 665609 2.50 466901 665548 2.50 466831 665730 2.50 466852 665673 2.50 466872 665609 2.50 466899 665548 2.50 466814 665725 10.14 466835 665666 10.22 466855 665602 9.88 466882 665543 10.24 466812 665725 10.14 466833 665666 10.22 466853 665602 9.88 466880 665543 10.24 466833 665725 2.50 466854 665666 2.50 466874 665602 2.50 466901 665543 2.50 466831 665725 2.50 466852 665666 2.50 466872 665602 2.50 466899 665543 2.50 466835 665725 2.50 466856 665666 2.50 466876 665602 2.50 466903 665543 2.50 466833 665725 2.50 466854 665666 2.50 466874 665602 2.50 466901 665543 2.50 466816 665719 10.20 466837 665660 10.21 466858 665596 9.86 466884 665537 10.32 466814 665719 10.20 466835 665660 10.21 466856 665596 9.86 466882 665537 10.32 466835 665719 2.50 466856 665660 2.50 466876 665596 2.50 466903 665537 2.50 466833 665719 2.50 466854 665660 2.50 466874 665596 2.50 466901 665537 2.50 466837 665719 2.50 466858 665660 2.50 466878 665596 2.50 466905 665537 2.50 466835 665719 2.50 466856 665660 2.50 466876 665596 2.50 466903 665537 2.50 466818 665714 10.20 466839 665654 10.21 466860 665590 9.92 466885 665531 10.38 466816 665714 10.20 466837 665654 10.21 466858 665590 9.92 466883 665531 10.38 466837 665714 2.50 466858 665654 2.50 466879 665590 2.50 466905 665531 2.50 466835 665714 2.50 466856 665654 2.50 466877 665590 2.50 466903 665531 2.50 466839 665714 2.50 466860 665654 2.50 466881 665590 2.50 466907 665531 2.50 466837 665714 2.50 466858 665654 2.50 466879 665590 2.50 466905 665531 2.50

Page 170 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466887 665525 10.45 466906 665465 10.07 466929 665426 10.18 466949 665367 10.26 466885 665525 10.45 466904 665465 10.07 466927 665426 10.18 466947 665367 10.26 466907 665525 2.50 466925 665465 2.50 466948 665426 2.50 466968 665367 2.50 466905 665525 2.50 466923 665465 2.50 466946 665426 2.50 466966 665367 2.50 466909 665525 2.50 466927 665465 2.50 466950 665426 2.50 466970 665367 2.50 466907 665525 2.50 466925 665465 2.50 466948 665426 2.50 466968 665367 2.50 466889 665518 10.47 466909 665460 10.04 466931 665420 10.24 466951 665362 10.27 466887 665518 10.47 466907 665460 10.04 466929 665420 10.24 466949 665362 10.27 466909 665518 2.50 466928 665460 2.50 466951 665420 2.50 466970 665362 2.50 466907 665518 2.50 466926 665460 2.50 466949 665420 2.50 466968 665362 2.50 466911 665518 2.50 466930 665460 2.50 466953 665420 2.50 466972 665362 2.50 466909 665518 2.50 466928 665460 2.50 466951 665420 2.50 466970 665362 2.50 466890 665512 10.49 466912 665458 9.60 466934 665415 10.22 466952 665356 10.28 466888 665512 10.49 466910 665458 9.60 466932 665415 10.22 466950 665356 10.28 466910 665512 2.50 466930 665458 2.50 466953 665415 2.50 466972 665356 2.50 466908 665512 2.50 466928 665458 2.50 466951 665415 2.50 466970 665356 2.50 466912 665512 2.50 466932 665458 2.50 466955 665415 2.50 466974 665356 2.50 466910 665512 2.50 466930 665458 2.50 466953 665415 2.50 466972 665356 2.50 466891 665505 10.52 466914 665455 9.61 466936 665409 10.21 466954 665350 10.34 466889 665505 10.52 466912 665455 9.61 466934 665409 10.21 466952 665350 10.34 466911 665505 2.50 466932 665455 2.50 466955 665409 2.50 466974 665350 2.50 466909 665505 2.50 466930 665455 2.50 466953 665409 2.50 466972 665350 2.50 466913 665505 2.50 466934 665455 2.50 466957 665409 2.50 466976 665350 2.50 466911 665505 2.50 466932 665455 2.50 466955 665409 2.50 466974 665350 2.50 466892 665499 10.52 466914 665452 10.11 466938 665403 10.18 466956 665344 10.31 466890 665499 10.52 466912 665452 10.11 466936 665403 10.18 466954 665344 10.31 466912 665499 2.50 466933 665452 2.50 466957 665403 2.50 466975 665344 2.50 466910 665499 2.50 466931 665452 2.50 466955 665403 2.50 466973 665344 2.50 466914 665499 2.50 466935 665452 2.50 466959 665403 2.50 466977 665344 2.50 466912 665499 2.50 466933 665452 2.50 466957 665403 2.50 466975 665344 2.50 466894 665493 10.50 466916 665449 10.13 466940 665397 10.24 466958 665338 10.26 466892 665493 10.50 466914 665449 10.13 466938 665397 10.24 466956 665338 10.26 466914 665493 2.50 466935 665449 2.50 466960 665397 2.50 466977 665338 2.50 466912 665493 2.50 466933 665449 2.50 466958 665397 2.50 466975 665338 2.50 466916 665493 2.50 466937 665449 2.50 466962 665397 2.50 466979 665338 2.50 466914 665493 2.50 466935 665449 2.50 466960 665397 2.50 466977 665338 2.50 466895 665486 10.32 466919 665445 10.13 466942 665391 10.25 466960 665332 10.25 466893 665486 10.32 466917 665445 10.13 466940 665391 10.25 466958 665332 10.25 466915 665486 2.50 466938 665445 2.50 466961 665391 2.50 466979 665332 2.50 466913 665486 2.50 466936 665445 2.50 466959 665391 2.50 466977 665332 2.50 466917 665486 2.50 466940 665445 2.50 466963 665391 2.50 466981 665332 2.50 466915 665486 2.50 466938 665445 2.50 466961 665391 2.50 466979 665332 2.50 466897 665480 10.21 466922 665439 10.11 466944 665385 10.24 466961 665327 10.21 466895 665480 10.21 466920 665439 10.11 466942 665385 10.24 466959 665327 10.21 466916 665480 2.50 466941 665439 2.50 466963 665385 2.50 466980 665327 2.50 466914 665480 2.50 466939 665439 2.50 466961 665385 2.50 466978 665327 2.50 466918 665480 2.50 466943 665439 2.50 466965 665385 2.50 466982 665327 2.50 466916 665480 2.50 466941 665439 2.50 466963 665385 2.50 466980 665327 2.50 466900 665475 10.16 466925 665434 10.14 466945 665380 10.20 466963 665321 10.21 466898 665475 10.16 466923 665434 10.14 466943 665380 10.20 466961 665321 10.21 466919 665475 2.50 466944 665434 2.50 466965 665380 2.50 466982 665321 2.50 466917 665475 2.50 466942 665434 2.50 466963 665380 2.50 466980 665321 2.50 466921 665475 2.50 466946 665434 2.50 466967 665380 2.50 466984 665321 2.50 466919 665475 2.50 466944 665434 2.50 466965 665380 2.50 466982 665321 2.50 466903 665470 10.08 466927 665429 10.13 466947 665374 10.23 466965 665315 10.21 466901 665470 10.08 466925 665429 10.13 466945 665374 10.23 466963 665315 10.21 466922 665470 2.50 466947 665429 2.50 466967 665374 2.50 466984 665315 2.50 466920 665470 2.50 466945 665429 2.50 466965 665374 2.50 466982 665315 2.50 466924 665470 2.50 466949 665429 2.50 466969 665374 2.50 466986 665315 2.50 466922 665470 2.50 466947 665429 2.50 466967 665374 2.50 466984 665315 2.50

Page 171 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 466966 665308 10.23 466983 665245 10.31 466997 665197 10.28 467019 665138 10.20 466964 665308 10.23 466981 665245 10.31 466995 665197 10.28 467017 665138 10.20 466986 665308 2.50 467002 665245 2.50 467016 665197 2.50 467038 665138 2.50 466984 665308 2.50 467000 665245 2.50 467014 665197 2.50 467036 665138 2.50 466988 665308 2.50 467004 665245 2.50 467018 665197 2.50 467040 665138 2.50 466986 665308 2.50 467002 665245 2.50 467016 665197 2.50 467038 665138 2.50 466968 665302 10.31 466985 665238 10.23 466998 665192 10.26 467022 665131 10.18 466966 665302 10.31 466983 665238 10.23 466996 665192 10.26 467020 665131 10.18 466988 665302 2.50 467004 665238 2.50 467018 665192 2.50 467041 665131 2.50 466986 665302 2.50 467002 665238 2.50 467016 665192 2.50 467039 665131 2.50 466990 665302 2.50 467006 665238 2.50 467020 665192 2.50 467043 665131 2.50 466988 665302 2.50 467004 665238 2.50 467018 665192 2.50 467041 665131 2.50 466970 665296 10.36 466986 665232 10.24 467001 665186 10.25 467024 665125 10.17 466968 665296 10.36 466984 665232 10.24 466999 665186 10.25 467022 665125 10.17 466990 665296 2.50 467006 665232 2.50 467020 665186 2.50 467044 665125 2.50 466988 665296 2.50 467004 665232 2.50 467018 665186 2.50 467042 665125 2.50 466992 665296 2.50 467008 665232 2.50 467022 665186 2.50 467046 665125 2.50 466990 665296 2.50 467006 665232 2.50 467020 665186 2.50 467044 665125 2.50 466972 665289 10.44 466988 665226 10.25 467003 665180 10.26 467027 665119 10.21 466970 665289 10.44 466986 665226 10.25 467001 665180 10.26 467025 665119 10.21 466992 665289 2.50 467007 665226 2.50 467022 665180 2.50 467046 665119 2.50 466990 665289 2.50 467005 665226 2.50 467020 665180 2.50 467044 665119 2.50 466994 665289 2.50 467009 665226 2.50 467024 665180 2.50 467048 665119 2.50 466992 665289 2.50 467007 665226 2.50 467022 665180 2.50 467046 665119 2.50 466974 665283 10.38 466989 665220 10.25 467005 665174 10.22 467029 665113 10.18 466972 665283 10.38 466987 665220 10.25 467003 665174 10.22 467027 665113 10.18 466993 665283 2.50 467009 665220 2.50 467024 665174 2.50 467049 665113 2.50 466991 665283 2.50 467007 665220 2.50 467022 665174 2.50 467047 665113 2.50 466995 665283 2.50 467011 665220 2.50 467026 665174 2.50 467051 665113 2.50 466993 665283 2.50 467009 665220 2.50 467024 665174 2.50 467049 665113 2.50 466975 665277 10.33 466991 665215 10.29 467007 665168 10.18 467032 665108 10.19 466973 665277 10.33 466989 665215 10.29 467005 665168 10.18 467030 665108 10.19 466995 665277 2.50 467010 665215 2.50 467026 665168 2.50 467051 665108 2.50 466993 665277 2.50 467008 665215 2.50 467024 665168 2.50 467049 665108 2.50 466997 665277 2.50 467012 665215 2.50 467028 665168 2.50 467053 665108 2.50 466995 665277 2.50 467010 665215 2.50 467026 665168 2.50 467051 665108 2.50 466977 665271 10.30 466991 665215 10.40 467010 665162 10.18 467035 665101 10.17 466975 665271 10.30 466989 665215 10.40 467008 665162 10.18 467033 665101 10.17 466997 665271 2.50 467011 665215 2.50 467029 665162 2.50 467054 665101 2.50 466995 665271 2.50 467009 665215 2.50 467027 665162 2.50 467052 665101 2.50 466999 665271 2.50 467013 665215 2.50 467031 665162 2.50 467056 665101 2.50 466997 665271 2.50 467011 665215 2.50 467029 665162 2.50 467054 665101 2.50 466978 665264 10.31 466994 665205 10.44 467012 665155 10.19 467037 665096 10.19 466976 665264 10.31 466992 665205 10.44 467010 665155 10.19 467035 665096 10.19 466998 665264 2.50 467014 665205 2.50 467031 665155 2.50 467056 665096 2.50 466996 665264 2.50 467012 665205 2.50 467029 665155 2.50 467054 665096 2.50 467000 665264 2.50 467016 665205 2.50 467033 665155 2.50 467058 665096 2.50 466998 665264 2.50 467014 665205 2.50 467031 665155 2.50 467056 665096 2.50 466980 665258 10.30 466994 665205 10.30 467014 665149 10.19 467039 665091 10.17 466978 665258 10.30 466992 665205 10.30 467012 665149 10.19 467037 665091 10.17 466999 665258 2.50 467013 665205 2.50 467034 665149 2.50 467058 665091 2.50 466997 665258 2.50 467011 665205 2.50 467032 665149 2.50 467056 665091 2.50 467001 665258 2.50 467015 665205 2.50 467036 665149 2.50 467060 665091 2.50 466999 665258 2.50 467013 665205 2.50 467034 665149 2.50 467058 665091 2.50 466981 665252 10.31 466995 665201 10.26 467017 665143 10.21 467042 665086 10.18 466979 665252 10.31 466993 665201 10.26 467015 665143 10.21 467040 665086 10.18 467001 665252 2.50 467015 665201 2.50 467036 665143 2.50 467061 665086 2.50 466999 665252 2.50 467013 665201 2.50 467034 665143 2.50 467059 665086 2.50 467003 665252 2.50 467017 665201 2.50 467038 665143 2.50 467063 665086 2.50 467001 665252 2.50 467015 665201 2.50 467036 665143 2.50 467061 665086 2.50

Page 172 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467044 665080 10.20 467069 665027 10.25 467095 664972 10.44 467114 664921 10.10 467042 665080 10.20 467067 665027 10.25 467093 664972 10.44 467112 664921 10.10 467063 665080 2.50 467089 665027 2.50 467115 664972 2.50 467133 664921 2.50 467061 665080 2.50 467087 665027 2.50 467113 664972 2.50 467131 664921 2.50 467065 665080 2.50 467091 665027 2.50 467117 664972 2.50 467135 664921 2.50 467063 665080 2.50 467089 665027 2.50 467115 664972 2.50 467133 664921 2.50 467046 665075 10.19 467072 665022 10.29 467097 664965 10.39 467116 664915 10.14 467044 665075 10.19 467070 665022 10.29 467095 664965 10.39 467114 664915 10.14 467066 665075 2.50 467091 665022 2.50 467117 664965 2.50 467135 664915 2.50 467064 665075 2.50 467089 665022 2.50 467115 664965 2.50 467133 664915 2.50 467068 665075 2.50 467093 665022 2.50 467119 664965 2.50 467137 664915 2.50 467066 665075 2.50 467091 665022 2.50 467117 664965 2.50 467135 664915 2.50 467049 665070 10.15 467075 665016 10.32 467099 664960 10.40 467118 664909 10.15 467047 665070 10.15 467073 665016 10.32 467097 664960 10.40 467116 664909 10.15 467068 665070 2.50 467094 665016 2.50 467119 664960 2.50 467137 664909 2.50 467066 665070 2.50 467092 665016 2.50 467117 664960 2.50 467135 664909 2.50 467070 665070 2.50 467096 665016 2.50 467121 664960 2.50 467139 664909 2.50 467068 665070 2.50 467094 665016 2.50 467119 664960 2.50 467137 664909 2.50 467051 665064 10.13 467077 665011 10.33 467099 664960 10.40 467120 664902 10.19 467049 665064 10.13 467075 665011 10.33 467097 664960 10.40 467118 664902 10.19 467070 665064 2.50 467097 665011 2.50 467119 664960 2.50 467139 664902 2.50 467068 665064 2.50 467095 665011 2.50 467117 664960 2.50 467137 664902 2.50 467072 665064 2.50 467099 665011 2.50 467121 664960 2.50 467141 664902 2.50 467070 665064 2.50 467097 665011 2.50 467119 664960 2.50 467139 664902 2.50 467054 665059 10.11 467080 665005 10.30 467101 664955 10.36 467122 664897 10.19 467052 665059 10.11 467078 665005 10.30 467099 664955 10.36 467120 664897 10.19 467073 665059 2.50 467100 665005 2.50 467121 664955 2.50 467141 664897 2.50 467071 665059 2.50 467098 665005 2.50 467119 664955 2.50 467139 664897 2.50 467075 665059 2.50 467102 665005 2.50 467123 664955 2.50 467143 664897 2.50 467073 665059 2.50 467100 665005 2.50 467121 664955 2.50 467141 664897 2.50 467056 665054 10.11 467083 665000 10.31 467103 664949 10.30 467124 664891 10.23 467054 665054 10.11 467081 665000 10.31 467101 664949 10.30 467122 664891 10.23 467075 665054 2.50 467102 665000 2.50 467123 664949 2.50 467143 664891 2.50 467073 665054 2.50 467100 665000 2.50 467121 664949 2.50 467141 664891 2.50 467077 665054 2.50 467104 665000 2.50 467125 664949 2.50 467145 664891 2.50 467075 665054 2.50 467102 665000 2.50 467123 664949 2.50 467143 664891 2.50 467059 665049 10.10 467085 664994 10.31 467105 664944 10.28 467126 664888 10.20 467057 665049 10.10 467083 664994 10.31 467103 664944 10.28 467124 664888 10.20 467078 665049 2.50 467105 664994 2.50 467125 664944 2.50 467145 664888 2.50 467076 665049 2.50 467103 664994 2.50 467123 664944 2.50 467143 664888 2.50 467080 665049 2.50 467107 664994 2.50 467127 664944 2.50 467147 664888 2.50 467078 665049 2.50 467105 664994 2.50 467125 664944 2.50 467145 664888 2.50 467062 665043 10.15 467088 664988 10.31 467108 664938 10.24 467126 664886 10.17 467060 665043 10.15 467086 664988 10.31 467106 664938 10.24 467124 664886 10.17 467081 665043 2.50 467108 664988 2.50 467127 664938 2.50 467145 664886 2.50 467079 665043 2.50 467106 664988 2.50 467125 664938 2.50 467143 664886 2.50 467083 665043 2.50 467110 664988 2.50 467129 664938 2.50 467147 664886 2.50 467081 665043 2.50 467108 664988 2.50 467127 664938 2.50 467145 664886 2.50 467064 665038 10.21 467090 664983 10.36 467110 664932 10.21 467128 664881 10.17 467062 665038 10.21 467088 664983 10.36 467108 664932 10.21 467126 664881 10.17 467083 665038 2.50 467110 664983 2.50 467129 664932 2.50 467147 664881 2.50 467081 665038 2.50 467108 664983 2.50 467127 664932 2.50 467145 664881 2.50 467085 665038 2.50 467112 664983 2.50 467131 664932 2.50 467149 664881 2.50 467083 665038 2.50 467110 664983 2.50 467129 664932 2.50 467147 664881 2.50 467067 665033 10.25 467092 664977 10.43 467112 664926 10.12 467131 664875 10.27 467065 665033 10.25 467090 664977 10.43 467110 664926 10.12 467129 664875 10.27 467086 665033 2.50 467112 664977 2.50 467131 664926 2.50 467150 664875 2.50 467084 665033 2.50 467110 664977 2.50 467129 664926 2.50 467148 664875 2.50 467088 665033 2.50 467114 664977 2.50 467133 664926 2.50 467152 664875 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467133 664868 10.20 467154 664801 10.20 467167 664738 10.02 467176 664682 9.94 467131 664868 10.20 467152 664801 10.20 467165 664738 10.02 467174 664682 9.94 467152 664868 2.50 467173 664801 2.50 467186 664738 2.50 467195 664682 2.50 467150 664868 2.50 467171 664801 2.50 467184 664738 2.50 467193 664682 2.50 467154 664868 2.50 467175 664801 2.50 467188 664738 2.50 467197 664682 2.50 467152 664868 2.50 467173 664801 2.50 467186 664738 2.50 467195 664682 2.50 467135 664862 10.23 467156 664795 10.23 467168 664732 10.03 467175 664682 9.95 467133 664862 10.23 467154 664795 10.23 467166 664732 10.03 467173 664682 9.95 467154 664862 2.50 467175 664795 2.50 467187 664732 2.50 467194 664682 2.50 467152 664862 2.50 467173 664795 2.50 467185 664732 2.50 467192 664682 2.50 467156 664862 2.50 467177 664795 2.50 467189 664732 2.50 467196 664682 2.50 467154 664862 2.50 467175 664795 2.50 467187 664732 2.50 467194 664682 2.50 467137 664855 10.28 467158 664788 10.29 467169 664727 10.04 467177 664672 9.98 467135 664855 10.28 467156 664788 10.29 467167 664727 10.04 467175 664672 9.98 467157 664855 2.50 467177 664788 2.50 467188 664727 2.50 467195 664672 2.50 467155 664855 2.50 467175 664788 2.50 467186 664727 2.50 467193 664672 2.50 467159 664855 2.50 467179 664788 2.50 467190 664727 2.50 467197 664672 2.50 467157 664855 2.50 467177 664788 2.50 467188 664727 2.50 467195 664672 2.50 467139 664849 10.28 467159 664782 10.26 467169 664720 10.03 467178 664672 9.99 467137 664849 10.28 467157 664782 10.26 467167 664720 10.03 467176 664672 9.99 467159 664849 2.50 467178 664782 2.50 467188 664720 2.50 467196 664672 2.50 467157 664849 2.50 467176 664782 2.50 467186 664720 2.50 467194 664672 2.50 467161 664849 2.50 467180 664782 2.50 467190 664720 2.50 467198 664672 2.50 467159 664849 2.50 467178 664782 2.50 467188 664720 2.50 467196 664672 2.50 467142 664842 10.28 467160 664776 10.23 467170 664715 10.04 467177 664671 10.01 467140 664842 10.28 467158 664776 10.23 467168 664715 10.04 467175 664671 10.01 467161 664842 2.50 467180 664776 2.50 467189 664715 2.50 467196 664671 2.50 467159 664842 2.50 467178 664776 2.50 467187 664715 2.50 467194 664671 2.50 467163 664842 2.50 467182 664776 2.50 467191 664715 2.50 467198 664671 2.50 467161 664842 2.50 467180 664776 2.50 467189 664715 2.50 467196 664671 2.50 467144 664835 10.23 467162 664769 10.18 467171 664708 9.98 467178 664665 10.10 467142 664835 10.23 467160 664769 10.18 467169 664708 9.98 467176 664665 10.10 467164 664835 2.50 467181 664769 2.50 467190 664708 2.50 467197 664665 2.50 467162 664835 2.50 467179 664769 2.50 467188 664708 2.50 467195 664665 2.50 467166 664835 2.50 467183 664769 2.50 467192 664708 2.50 467199 664665 2.50 467164 664835 2.50 467181 664769 2.50 467190 664708 2.50 467197 664665 2.50 467146 664829 10.23 467163 664764 10.16 467173 664702 9.82 467179 664658 10.16 467144 664829 10.23 467161 664764 10.16 467171 664702 9.82 467177 664658 10.16 467166 664829 2.50 467182 664764 2.50 467191 664702 2.50 467198 664658 2.50 467164 664829 2.50 467180 664764 2.50 467189 664702 2.50 467196 664658 2.50 467168 664829 2.50 467184 664764 2.50 467193 664702 2.50 467200 664658 2.50 467166 664829 2.50 467182 664764 2.50 467191 664702 2.50 467198 664658 2.50 467148 664822 10.24 467164 664758 10.09 467174 664696 9.81 467180 664652 10.17 467146 664822 10.24 467162 664758 10.09 467172 664696 9.81 467178 664652 10.17 467168 664822 2.50 467183 664758 2.50 467192 664696 2.50 467199 664652 2.50 467166 664822 2.50 467181 664758 2.50 467190 664696 2.50 467197 664652 2.50 467170 664822 2.50 467185 664758 2.50 467194 664696 2.50 467201 664652 2.50 467168 664822 2.50 467183 664758 2.50 467192 664696 2.50 467199 664652 2.50 467150 664815 10.22 467165 664751 10.05 467175 664688 9.87 467181 664646 10.21 467148 664815 10.22 467163 664751 10.05 467173 664688 9.87 467179 664646 10.21 467170 664815 2.50 467184 664751 2.50 467193 664688 2.50 467200 664646 2.50 467168 664815 2.50 467182 664751 2.50 467191 664688 2.50 467198 664646 2.50 467172 664815 2.50 467186 664751 2.50 467195 664688 2.50 467202 664646 2.50 467170 664815 2.50 467184 664751 2.50 467193 664688 2.50 467200 664646 2.50 467152 664808 10.23 467166 664745 10.02 467176 664682 9.90 467182 664640 10.21 467150 664808 10.23 467164 664745 10.02 467174 664682 9.90 467180 664640 10.21 467172 664808 2.50 467185 664745 2.50 467194 664682 2.50 467201 664640 2.50 467170 664808 2.50 467183 664745 2.50 467192 664682 2.50 467199 664640 2.50 467174 664808 2.50 467187 664745 2.50 467196 664682 2.50 467203 664640 2.50 467172 664808 2.50 467185 664745 2.50 467194 664682 2.50 467201 664640 2.50

Page 174 September 2013 B3 Surveys

Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467183 664634 10.21 467185 664566 10.48 467178 664493 10.33 467172 664422 9.67 467181 664634 10.21 467183 664566 10.48 467176 664493 10.33 467170 664422 9.67 467202 664634 2.50 467205 664566 2.50 467198 664493 2.50 467190 664422 2.50 467200 664634 2.50 467203 664566 2.50 467196 664493 2.50 467188 664422 2.50 467204 664634 2.50 467207 664566 2.50 467200 664493 2.50 467192 664422 2.50 467202 664634 2.50 467205 664566 2.50 467198 664493 2.50 467190 664422 2.50 467184 664628 10.26 467185 664559 10.44 467178 664485 10.34 467171 664415 9.67 467182 664628 10.26 467183 664559 10.44 467176 664485 10.34 467169 664415 9.67 467204 664628 2.50 467205 664559 2.50 467197 664485 2.50 467189 664415 2.50 467202 664628 2.50 467203 664559 2.50 467195 664485 2.50 467187 664415 2.50 467206 664628 2.50 467207 664559 2.50 467199 664485 2.50 467191 664415 2.50 467204 664628 2.50 467205 664559 2.50 467197 664485 2.50 467189 664415 2.50 467185 664623 10.29 467184 664551 10.40 467177 664479 10.30 467170 664408 9.67 467183 664623 10.29 467182 664551 10.40 467175 664479 10.30 467168 664408 9.67 467204 664623 2.50 467204 664551 2.50 467197 664479 2.50 467187 664408 2.50 467202 664623 2.50 467202 664551 2.50 467195 664479 2.50 467185 664408 2.50 467206 664623 2.50 467206 664551 2.50 467199 664479 2.50 467189 664408 2.50 467204 664623 2.50 467204 664551 2.50 467197 664479 2.50 467187 664408 2.50 467186 664617 10.30 467183 664543 10.45 467177 664471 10.25 467168 664401 9.70 467184 664617 10.30 467181 664543 10.45 467175 664471 10.25 467166 664401 9.70 467205 664617 2.50 467203 664543 2.50 467196 664471 2.50 467186 664401 2.50 467203 664617 2.50 467201 664543 2.50 467194 664471 2.50 467184 664401 2.50 467207 664617 2.50 467205 664543 2.50 467198 664471 2.50 467188 664401 2.50 467205 664617 2.50 467203 664543 2.50 467196 664471 2.50 467186 664401 2.50 467186 664610 10.34 467183 664536 10.44 467176 664465 10.18 467167 664394 9.75 467184 664610 10.34 467181 664536 10.44 467174 664465 10.18 467165 664394 9.75 467206 664610 2.50 467202 664536 2.50 467195 664465 2.50 467185 664394 2.50 467204 664610 2.50 467200 664536 2.50 467193 664465 2.50 467183 664394 2.50 467208 664610 2.50 467204 664536 2.50 467197 664465 2.50 467187 664394 2.50 467206 664610 2.50 467202 664536 2.50 467195 664465 2.50 467185 664394 2.50 467188 664603 10.27 467182 664529 10.44 467176 664459 10.12 467166 664387 9.76 467186 664603 10.27 467180 664529 10.44 467174 664459 10.12 467164 664387 9.76 467208 664603 2.50 467202 664529 2.50 467195 664459 2.50 467184 664387 2.50 467206 664603 2.50 467200 664529 2.50 467193 664459 2.50 467182 664387 2.50 467210 664603 2.50 467204 664529 2.50 467197 664459 2.50 467186 664387 2.50 467208 664603 2.50 467202 664529 2.50 467195 664459 2.50 467184 664387 2.50 467188 664596 10.25 467181 664522 10.37 467175 664451 9.98 467165 664380 9.82 467186 664596 10.25 467179 664522 10.37 467173 664451 9.98 467163 664380 9.82 467207 664596 2.50 467201 664522 2.50 467194 664451 2.50 467183 664380 2.50 467205 664596 2.50 467199 664522 2.50 467192 664451 2.50 467181 664380 2.50 467209 664596 2.50 467203 664522 2.50 467196 664451 2.50 467185 664380 2.50 467207 664596 2.50 467201 664522 2.50 467194 664451 2.50 467183 664380 2.50 467187 664588 10.32 467180 664515 10.38 467174 664444 9.89 467164 664374 9.86 467185 664588 10.32 467178 664515 10.38 467172 664444 9.89 467162 664374 9.86 467207 664588 2.50 467200 664515 2.50 467193 664444 2.50 467183 664374 2.50 467205 664588 2.50 467198 664515 2.50 467191 664444 2.50 467181 664374 2.50 467209 664588 2.50 467202 664515 2.50 467195 664444 2.50 467185 664374 2.50 467207 664588 2.50 467200 664515 2.50 467193 664444 2.50 467183 664374 2.50 467187 664581 10.39 467180 664508 10.38 467173 664436 9.80 467163 664367 9.90 467185 664581 10.39 467178 664508 10.38 467171 664436 9.80 467161 664367 9.90 467206 664581 2.50 467199 664508 2.50 467192 664436 2.50 467182 664367 2.50 467204 664581 2.50 467197 664508 2.50 467190 664436 2.50 467180 664367 2.50 467208 664581 2.50 467201 664508 2.50 467194 664436 2.50 467184 664367 2.50 467206 664581 2.50 467199 664508 2.50 467192 664436 2.50 467182 664367 2.50 467186 664573 10.52 467179 664501 10.35 467173 664429 9.68 467162 664361 9.85 467184 664573 10.52 467177 664501 10.35 467171 664429 9.68 467160 664361 9.85 467206 664573 2.50 467199 664501 2.50 467190 664429 2.50 467181 664361 2.50 467204 664573 2.50 467197 664501 2.50 467188 664429 2.50 467179 664361 2.50 467208 664573 2.50 467201 664501 2.50 467192 664429 2.50 467183 664361 2.50 467206 664573 2.50 467199 664501 2.50 467190 664429 2.50 467181 664361 2.50

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Easting Northing RL Easting Northing RL Easting Northing RL Easting Northing RL 467161 664356 9.83 467154 664302 9.70 467145 664234 9.00 467135 664173 8.04 467159 664356 9.83 467152 664302 9.70 467143 664234 9.00 467133 664173 8.04 467180 664356 2.50 467172 664302 2.50 467161 664234 2.50 467149 664173 2.50 467178 664356 2.50 467170 664302 2.50 467159 664234 2.50 467147 664173 2.50 467182 664356 2.50 467174 664302 2.50 467163 664234 2.50 467151 664173 2.50 467180 664356 2.50 467172 664302 2.50 467161 664234 2.50 467149 664173 2.50 467160 664349 9.85 467153 664295 9.69 467144 664229 8.94 467133 664167 8.05 467158 664349 9.85 467151 664295 9.69 467142 664229 8.94 467131 664167 8.05 467179 664349 2.50 467171 664295 2.50 467160 664229 2.50 467147 664167 2.50 467177 664349 2.50 467169 664295 2.50 467158 664229 2.50 467145 664167 2.50 467181 664349 2.50 467173 664295 2.50 467162 664229 2.50 467149 664167 2.50 467179 664349 2.50 467171 664295 2.50 467160 664229 2.50 467147 664167 2.50 467159 664340 9.91 467152 664289 9.67 467145 664222 8.48 467131 664161 8.20 467157 664340 9.91 467150 664289 9.67 467143 664222 8.48 467129 664161 8.20 467177 664340 2.50 467170 664289 2.50 467160 664222 2.50 467145 664161 2.50 467175 664340 2.50 467168 664289 2.50 467158 664222 2.50 467143 664161 2.50 467179 664340 2.50 467172 664289 2.50 467162 664222 2.50 467147 664161 2.50 467177 664340 2.50 467170 664289 2.50 467160 664222 2.50 467145 664161 2.50 467158 664334 9.92 467151 664284 9.60 467144 664216 8.33 467130 664156 8.12 467156 664334 9.92 467149 664284 9.60 467142 664216 8.33 467128 664156 8.12 467177 664334 2.50 467169 664284 2.50 467159 664216 2.50 467144 664156 2.50 467175 664334 2.50 467167 664284 2.50 467157 664216 2.50 467142 664156 2.50 467179 664334 2.50 467171 664284 2.50 467161 664216 2.50 467146 664156 2.50 467177 664334 2.50 467169 664284 2.50 467159 664216 2.50 467144 664156 2.50 467157 664328 9.93 467149 664274 9.55 467143 664210 8.45 467155 664328 9.93 467147 664274 9.55 467141 664210 8.45 467176 664328 2.50 467167 664274 2.50 467158 664210 2.50 467174 664328 2.50 467165 664274 2.50 467156 664210 2.50 467178 664328 2.50 467169 664274 2.50 467160 664210 2.50 467176 664328 2.50 467167 664274 2.50 467158 664210 2.50 467157 664328 9.83 467149 664267 9.53 467142 664203 8.25 467155 664328 9.83 467147 664267 9.53 467140 664203 8.25 467175 664328 2.50 467166 664267 2.50 467157 664203 2.50 467173 664328 2.50 467164 664267 2.50 467155 664203 2.50 467177 664328 2.50 467168 664267 2.50 467159 664203 2.50 467175 664328 2.50 467166 664267 2.50 467157 664203 2.50 467156 664325 9.68 467148 664260 9.43 467141 664196 8.20 467154 664325 9.68 467146 664260 9.43 467139 664196 8.20 467174 664325 2.50 467165 664260 2.50 467156 664196 2.50 467172 664325 2.50 467163 664260 2.50 467154 664196 2.50 467176 664325 2.50 467167 664260 2.50 467158 664196 2.50 467174 664325 2.50 467165 664260 2.50 467156 664196 2.50 467156 664319 9.65 467147 664254 9.40 467140 664190 8.22 467154 664319 9.65 467145 664254 9.40 467138 664190 8.22 467174 664319 2.50 467164 664254 2.50 467154 664190 2.50 467172 664319 2.50 467162 664254 2.50 467152 664190 2.50 467176 664319 2.50 467166 664254 2.50 467156 664190 2.50 467174 664319 2.50 467164 664254 2.50 467154 664190 2.50 467155 664314 9.71 467146 664247 9.35 467138 664184 8.06 467153 664314 9.71 467144 664247 9.35 467136 664184 8.06 467173 664314 2.50 467163 664247 2.50 467152 664184 2.50 467171 664314 2.50 467161 664247 2.50 467150 664184 2.50 467175 664314 2.50 467165 664247 2.50 467154 664184 2.50 467173 664314 2.50 467163 664247 2.50 467152 664184 2.50 467154 664308 9.70 467146 664241 8.95 467137 664178 7.97 467152 664308 9.70 467144 664241 8.95 467135 664178 7.97 467172 664308 2.50 467162 664241 2.50 467151 664178 2.50 467170 664308 2.50 467160 664241 2.50 467149 664178 2.50 467174 664308 2.50 467164 664241 2.50 467153 664178 2.50 467172 664308 2.50 467162 664241 2.50 467151 664178 2.50

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6 Field visits of the project areas on Jamuna, Padma and Meghna 6.1 Field trip on 14-12-2012 to 16-12-2012 From Friday the 14.12.2012 until Sunday the 16.12.2012, the left bank of the Padma and the right and left bank of the Jamuna were inspected.

Participants of this field trip were: Name: Position: Organization: Mr. Md. Abdul Quddus Project Director PMO-JMREMP, BWDB, Dhaka Mr. Md. Amir Faisal Executive Engineer PMO-JMREMP, BWDB, Dhaka Mr. Rezaul Karim Executive Engineer Kaitola Construction Division, BWDB, Kaitola, Bera, Pabna Mr. Jalal Ahmed Sectional officer Kaitola Construction Division, BWDB, Kaitola, Bera, Pabna Mr. Zakir Hossain Sectional officer Kaitola Construction Division, BWDB, Kaitola, Bera, Pabna Mr. Shariful Islam Sub-Divisional Engineer Manikganj O&M Division, BWDB, Manikganj Mr. Abdul Mannan Sub-Divisional Engineer Dhaka O&M Division-2, BWDB, Dhaka Mr. Knut Oberhagemann Team Leader nhc Mr. Makbul Hossain Deputy Team Leader RPMC Mr. Mukhlesuzzaman River Engineer Mr. JesperMathiesen Junior Engineer RPMC Ms. Saida Afrose Junior Engineer RPMC Mr. Tahsin Ahmed Junior Engineer RPMC Mr. Osman Ghani Surveyor All of these persons were present on all three days.

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14.12.2012

On the first day, the left bank of the Padma was inspected. The boat trip started in Paturia and ended in Mowa. The exact route can be seen in Figure 6-1.

Figure 6-1: 14.12.2012

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Figure 2: left riverbank of the Padma

Figure 3: left riverbank of the Padma

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15.12.2012

On the second day, the right bank of the Jamuna was inspected. The boat trip started at Enayetpur spar and ended in Harirampur. The exact route can be seen in Figure .

Figure 4: 15.12.2012

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Figure 5: Erosion upstream of Enayetpur spur

Figure 6: Erosion at the right riverbank of the Jamuna

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Figure 7: Existing Riverbank Protection at the Jamuna Right bank

Figure 8: Existing Riverbank Protection at the Jamuna Right bank (Jagtala)

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16.12.2012

On the third day the left bank of the Jamuna was inspected. The boat trip started around 1 km south of the Jamuna-bridge and ended in Shivalaya. The exact route can be seen in Figure 9.

Figure 9: 16.12.2012

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Figure 10: Riverbank at the left riverbank of the Jamuna

Figure 11: Erosion at the left riverbank of the Jamuna

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Field trip on 19-02-2013 On Tuesday the 19.02.2013 the right bank of the Padma was inspected. Participants of this field trip were:

Name: Position: Organization: Mr. Md. Abdul Quddus Project Director PMO-JMREMP, BWDB, Dhaka Mr. Zahiul Islam Chief Engineer Mid Southwest Zone, BWDB, Faridpur Mr. Md. Aminul Haque Superintending Engineer PMO-JMREMP, BWDB, Dhaka Mr. Md. Amir Faisal Executive Engineer PMO-JMREMP, BWDB, Dhaka Upazila Chairman Naria Upazilla, Shariatpur Sub-Divisional Engineer Shariatpur O&M Division, BWDB, Shariatpur Sectional Officer Shariatpur O&M Division, BWDB, Shariatpur Mr. Knut Oberhagemann Team Leader nhc Mr. Makbul Hossain Deputy Team Leader RPMC Mr. Mukhlesuzzaman River Engineer Mr. Jesper Mathiesen Junior Engineer RPMC

The Boat trip started in Paturia and went to the south to Chadpur and Jalalpur back to Paturia. The exact route can be seen in Figure 12.

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Figure 12: 19.02.2013

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Figure 13: Right bank of the Padma

Figure 14: Right bank of the Padma

Field trip on 03-05-2013 On Friday the 03.05.2013 the Project sub reach JRB 1 was visited. Participants of this field trip were:

Page 187 PPTA 8054-BAN: Main Rivers Flood and Bank Erosion Risk Management Program

Name: Position: Organization: Mr. Md. Abdul Quddus Project Director PMO-JMREMP, BWDB, Dhaka Ms. Natsuko Totsuka Water Resources Specialist Environment, Natural Resources and Agriculture Division, ADB Mr. Md. Aminul Haque Superintending Engineer PMO-JMREMP, BWDB, Dhaka Rezaul Karen Executive Engineer BWDB Jamilur Rahman Adviser ADB Consultant Mr. Tod Ragsdale Resettlement Specialist Mr. Knut Oberhagemann Team Leader NHC Mr. Jesper Mathiesen Junior Engineer RPMC

The team visited different spots along the Jamuna and the Hurashagar. The team also met with the survey team at the old embankment at the Jamuna/Hurashagar confluence. The exact route can be seen in Figure 15.

Figure 15: 03.05.2013

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Figure 16: Mosque at Koijuri

Figure 17: Survey at the old Embankment

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Figure 18: Old Regulator at the Hurashagar

Figure 19: Baghabari Port

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Field trip on 10-05-2013 to 11-05-2013 The field trip on the 10th and 11th May 2013 covered the same area as the field trip on the 3rd May. The purpose of this trip was, to introduce the ADB resettlement specialist to the project area. The participants of this field trip were:

Name: Position: Organization: Mr. Makbul Hossain Deputy Team Leader RPMC Mr. Bishwanath Debnath Social Safeguard Specialist ADB Mr. Amir Faisal Executive Engineer PMO-JMREMP, BWDB, Dhaka Mr. Tod Ragsdale Resettlement Specialist Mr. Jesper Mathiesen Junior Engineer RPMC Mr. Tahsin Ahmed Junior Engineer RPMC Ms. Saida Afrose Junior Engineer RPMC

On the first day, the whole coast line was covered from Koijuri Bazar to Baghabari port. Besides Koijuri, several places along the alignment were visited. These places are:

- Koijuri Bazar - Gudhibari - Jamirta - Jagtala - Taratia - Datta Darta - Chayra

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Figure 20: Locations 10.5.2013

Figure 21: Koijuri Bazar

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Figure 22: Mosque Pathaliapara

Figure 23: Jamirta

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Figure 24: Graveyard Jagtala

Figure 25: Borrowpit Old Embankment

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On the second day, the resettlement villages of the JMREMP were visited. The consultation of the resettled people showed that they are in average very satisfied with their condition after the resettlement.

Figure 26: JMREMP Resettlement Village It is also notable that some of the people in the RV started to invest in brick houses. This type of structure is rarely found in this area. It shows that the people are able to save money for a big investment and are willing to invest it into better structures, as they are not threatened by erosion anymore.

Figure 27: JMREMP Resettlement Village

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