Emergency Plan of Action Final Report Bangladesh: Flood
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Rhd Road Network, Rangpur Zone
RHD ROAD NETWORK, RANGPUR ZONE Banglabandha 5 N Tentulia Nijbari N 5 Z 5 0 6 Burimari 0 INDIA Patgram Panchagarh Z Mirgarh 5 9 0 Angorpota 3 1 0 0 5 Z Dhagram Bhaulaganj Chilahati Atwari Z 57 Z 06 5 0 Kolonihat Boda 2 1 Tunirhat Gomnati 3 0 Dhaldanga 7 Ruhea Z 5 N 6 5 Z 5 0 0 Dimla 0 0 2 3 7 9 2 5 6 Z 54 INDIA 5 Debiganj Z50 Sardarhat Z 9 5 0 5 5 Domar Hatibanda Bhurungamari Baliadangi Z N Kathuria Boragarihat Z5 Bahadur Dragha 002 2 Z5 0 7 0 03 5 Thakurgaon Z RLY 7 R 0 Station 58 2 7 7 Jaldhaka 2 5 Bus 6 Dharmagarh Stand Z 5 1 Z Z5 70 029 Z5 Nekmand Z Mogalhat 5 Kaliganj 6 Z5 Tengonmari 17 Nageshwari 2 7 56 4 7 Z 2 09 1 Raninagar Kadamtala 0 Z 0 0 57 5 9 0 Z 0 5 Phulbari Z 5 5 2 Z 5 5 Z Namorihat 0 Kalibari 2 Khansama 16 6 5 56 Z 2 Z Z Aditmari 01 Madarganj 50 Z5018 N509 Z59 4 Ranisonkail N5 08 Tebaria Nilphamari Kishoreganj 8 Z5 Kutubpur 00 008 Lalmonirhat Bhitarbond Z5 Z 2 Z5018 Z5018 Shaptibari 5 2 6 4 Darwani Z 2 6 0 1 0 5 Manthanahat 5 R Z5 Z 9 6 Z 0 00 Pirganj Bakultala 0 Barabari 5 2 5 5 5 1 0 Z Z Z Z5002 7 5 5 Z5002 Birganj 0 0 02 Gangachara N 5 0 5 Moshaldangi Z5020 06 6 06 0 5 0 N 5 Haragach Haripur Z 7 0 N5 Habumorh Bochaganj 0 5 4 Z 2 Z5 61 3 6 5 1 11 Z 5 Taraganj 2 6 Kurigram 0 N Hazirhat 5 Kaharol 5 Teesta 18 Z N5 Ranirbandar N5 Z Kaunia Bridge Rajarhat Z Saidpur Rangpur Shahebganj 5 Beldanga 0 Medical 0 5 Shapla 6 1 more 1 1 more 0 0 5 5 25 Ghagat Z 50 N517 Z Z Bridge Taxerhat N5 Mohiganj 1 2 Mordern 6 4 more 5 02 Z 8 5 Z Shampur 0 Modhupur Z 5 Parbatipur 50 N Sonapukur Badarganj 1 Chirirbandar Z5025 0 Ulipur Datbanga Govt Z5025 Pirgachha College R 5025 Simultala Laldangi 5 Z Kolahat Z 8 Kadamtali Biral Cantt. -
HCTT Monsoon Flood Humanitarian Response Plan: Monitoring Dashboard (5 September 2020)
HCTT Monsoon Flood Humanitarian Response Plan: Monitoring Dashboard (5 September 2020) KEY FIGURES prioritized funding requested people people districts (US$) targeted reached 1,093,091 252,970* 7 $40M *Number of people partially reached by the multi-sectoral response OVERALL BREAKDOWN OF BENEFICIARIES Targeted 308,325 239,040 245,344 women (≥18) boys (<18) girls (<18) Reached 76,447 51,585 64,018 women (≥18) boys (<18) girls (<18) Targeted 300,383 32,985 men (≥18) people with disability Reached 60,920 5,190 men (≥18) people with disability SITUATION OVERVIEW Heavy monsoon rain and water from upstream sources caused slow-onset severe flooding in low lying areas of Northern Bangladesh. The 2020 floods has some remarkable characteristics in comparison with major floods in the recent past. It started earlier than usual (late June), it lasted more 60 days in some areas and, in Bahadurabad of Jamalpur, the Jamuna flowed at 20.79 m, 17cm above the last water level record set in 1988 according to Floods Forecasting Warning Centre (FFWC). According to the National Disaster Response Coordination Center (NDRCC), one (1) million households were waterlogged. The disruption of services hindered meeting basic needs and, people suffered from hunger, illness, thirst and filthiness. The NDRCC report informs that 5.5 million (highest at 4 August) people were directly affected and, that 1,059,295 households were inundated. Among them, 211,859 families were displaced, and 94,414 people were evacuated in 1,525 shelters. The Department of Public Health and Engineering (DPHE) informs that 928,60 tube-wells and 100,223 latrines were damaged. -
Do Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction?
Journal of Risk and Financial Management Article Do Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction? Shafiqul Islam 1,*, Khondker Mohammad Zobair 2, Cordia Chu 3, James C. R. Smart 1 and Md Samsul Alam 4 1 School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia; j.smart@griffith.edu.au 2 Business School, Griffith University, Nathan, QLD 4111, Australia; k.zobair@griffith.edu.au 3 Centre for Environment and Population Health, School of Medicine, Griffith University, Nathan, QLD 4111, Australia; c.chu@griffith.edu.au 4 Leicester Castle Business School, De Montfort University, Leicester LE1 9BH, UK; [email protected] * Correspondence: shafiqul.islam@griffithuni.edu.au Abstract: Considering the importance of political economy in implementing Disaster Risk Reduction (DRR), this research investigates the significance of political economy in the distribution of DRR funding in Bangladesh. The study analysed data from self-reported surveys from 133 members of the sub-district level disaster management committee and government officials working with DRR. Employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, we find that political economy factors explain 68% of the variance in funding allocations. We also show that four categories of political economy factors—power and authority, interest and incentives, institutions, and values and ideas—are significantly influential over the distribution of DRR funding across subdistricts of Bangladesh. Our findings offer important policy implications to reduce the potential risks surrounding political economy influences in fund allocation and advance climate Citation: Islam, Shafiqul, Khondker finance literature. Mohammad Zobair, Cordia Chu, James C. R. -
Cropping Patterns in Mymensingh Region: Diversity, Constraint and Potential
Bangladesh Rice J. 21 (2) : 217-235, 2017 Cropping Patterns in Mymensingh Region: Diversity, Constraint and Potential A Khatun1*, N Parvin1, M M R Dewan2 and A Saha1 ABSTRACT A consistent and comprehensive database on cropping pattern, cropping intensity and crop diversity of a particular area is the prime importance for guiding policy makers, researchers, extentionists and development agencies for the future research and development planning. The study was carried out all the upazilas of Mymensingh region during 2015-16 using pre-designed and pre-tested semi- structured questionnaire with a view to document the existing cropping pattern, crop diversity and cropping intensity. The most dominant cropping pattern Boro−Fallow−T. Aman occupied about one- half of net cropped area (NCA) of the region distributed to 46 out of 47 upazilas. Single Boro cropping pattern ranked the second position which covered 23% of NCA distributed in 45 upazilas. A total of 129 cropping patterns were identified in the whole area of Mymensingh region under this investigation. The highest number of (30) cropping patterns were identified in Pakundia upazila of Kishoreganj and the lowest was (10) in Sreebardi of Sherpur. The lowest crop diversity index (CDI) was reported (0.111) in Mithamoin of Kishoreganj followed by 0.114 at Khaliajuri in Netrokona. The highest value of CDI was observed 0.933 at Dewanganj in Jamalpur followed by 0.920 at Bhairab in Kishoreganj. The range of cropping intensity values was recorded 101-249%. The maximum value was for Hossainpur and minimum for Itna and Mithamoin in Kishoreganj. At a glance the calculated CDI of Mymensingh region was 0.840 and the average cropping intensity was 187%. -
A GATHERING STORM: Climate Change Clouds the Future of Children in Bangladesh
A CLIMATE CHANGE CLOUDS GATHERING THE FUTURE OF CHILDREN STORM IN BANGLADESH 2 A GATHERING STORM: Climate change clouds the future of children in Bangladesh A GATHERING STORM CLIMATE CHANGE CLOUDS THE FUTURE OF CHILDREN IN BANGLADESH Cover photo: A child wades through water on her way to school in Kurigram district of northern Bangladesh during fl oods in August 2016. © G.M.B. Akash/Panos Pictures 2 A GATHERING STORM: Climate change clouds the future of children in Bangladesh CONTENTS Bangladesh: 20 districts most at risk from climate change 4-5 Foreword 7 On the cutting edge of climate change 10 Seawater contaminates water and crops 13 Rural communities at the mercy of the river 15 Youthful futures eroded by river’s daily assault 17 Children’s nutrition and health in jepoardy 20 Deepening climate crisis triggers exodus to the cities 24 Harsh realities in Dhaka’s slums 26 Risks for children pushed into the workplace 29 Dirty air deepens health risks facing climate migrants in the cities 32 Fragile environment imperils Rohingya refugees 33 Youth join the battle for climate action 34 Call to action: Shielding children from the effects of climate change 35 A family take to their boats after severe fl ooding in 2017 in the northern district of Kurigram. © UNICEF/ PRONOB GHOSH 4 A GATHERING STORM: Climate change clouds the future of children in Bangladesh MARCH 2019 5 BANGLADESH: 20 DISTRICTS MOST AT RISK FROM CLIMATE CHANGE PANCHAGARH LALMONIRHAT THAKURGAON NILPHAMARI Twenty of Bangladesh’s 64 Districts are exposed to and several more remote inland areas are particularly RANGPUR KURIGRAM the greatest risk from climate change-related disasters, vulnerable. -
Conducting and Developing Disaster Management Plan at Upazila Level
Conducting and Developing Disaster Management Plan at Upazila Level Upazila: Bakshiganj, Jamalpur Implemented By Upazila Disaster Management Committee Coordinated by Community Development Organization (CDO) Overall Assisted by: Comprehensive Disaster Management Program (CDMP II) Ministry of Disaster Management and Relief Table of Contents First Chapter: Introduction to Local Area 1.1 Background 1.2 Mission 1.3 Introduction to Local Area 1.3.1 Geographical Location of District/Upazila 1.3.2 Size 1.3.3 Population 1.4 Brief description of Infrastructure and non-infrastructure-related data 1.4.1 Infrastructure 1.4.2 Social Resources 1.4.3 Weather and Climate 1.4.4 Other Second Chapter: Disaster, Danger and Vulnerability 2.1 Overall history of disaster 2.2 Sequence danger of Upazila 2.3 Describes the various danger and its current and future Figure 2.4 Vulnerability and capacity 2.4 The danger area 2.6 Rest of the sector development plan 2.7 Social Map 2.8 Danger and risk maps 2.9 You out of seasonal calendar 2.10 Living seasonal calendar 2.11 About lives and livelihood vulnerability 2.12 sector-based danger and risk description 2.13 Climate change and its potential impact Third Chapter: Disaster Risk Reduction 3.1 Identifying the cause of risks 3.2 Identifying ways to mitigate the risks 3.3 NGOs Development Plan 3.4 Disaster Management Action Plan 3.4.1Pre-disaster 3.4.2 Disaster Preparation time 3.4.3 Preparing for disaster 3.4.4 In normal times / risk reducing time Fourth Chapter: Emergency response 4.1 Emergency Operation Center (EOC) -
Econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Khandker, Shahidur Rahman Working Paper What Influences Patters of Women's Work in Rural Bangladesh? Center Discussion Paper, No. 489 Provided in Cooperation with: Economic Growth Center (EGC), Yale University Suggested Citation: Khandker, Shahidur Rahman (1985) : What Influences Patters of Women's Work in Rural Bangladesh?, Center Discussion Paper, No. 489, Yale University, Economic Growth Center, New Haven, CT This Version is available at: http://hdl.handle.net/10419/160412 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. www.econstor.eu ·~ -\ :OCO!n1IC GRCWI'H CENI'ER YALE UNIVERSITY P.O. Box 1987, Yale station 27 Hillhoose Avenue New Haven, Connecticut 06520 CENl'ER DISClJSSION' PAPER 00. -
SASEC Dhaka-Northwest Corridor Road Project Phase 2 Was Approved in October 2017
Semiannual Social Monitoring Report Loan No- 3592 Project No. 40540-017 December 2018 South Asia Subregional Economic Cooperation Dhaka-Northwest Corridor Road Project, Phase 2 - Tranche 1 This Semiannual Social Monitoring Report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Social Monitoring Report Third Semi-Annual Report BAN: SASEC Dhaka Northwest Corridor Road Project, Phase- 2 Improvement of Elenga-Hatikamrul-Rangpur Road to a 4 Lane Highway February 2019 Prepared by Ms. Hasina Khatun, Social Development Specialist, Project Implementation Consultant (PIC), SASEC RCP-II on behalf of the Roads and Highways Department (RHD), Ministry of Road Transport and Bridges for the Government of the People’s Republic of Bangladesh and the Asian Development Bank. CURRENCY EQUIVALENTS (As of 04 February’ 2019) Currency Unit – Bangladesh Taka (BDT) BDT 1.00 = $0.0119164 $1.00 BDT 83.9179 1 BDT = 0.0119164 USD1 USD = 83.9179 BDT. WEIGHTS AND MEASURES 1ha (Hectare) = 10000sq.m (square meter) Or 2.47 Acre Or 247 Decimal 1 Acre = 100 Decimal 1 km (kilometer) = 1000 m (Meter) 1 Metric Ton = 1000 kg (kilogram) ABBREVIATIONS AB - -
1 Small Area Estimation of Poverty in Rural
1 Bangladesh Journal of Agricultural Economics, XL 1&2 (2019): 1-16 SMALL AREA ESTIMATION OF POVERTY IN RURAL BANGLADESH Md. Farouq Imam1 Mohammad Amirul Islam1 Md. Akhtarul Alam1* Md. Jamal Hossain1 Sumonkanti Das2 ABSTRACT Poverty is a complex phenomenon and most of the developing countries are struggling to overcome the problem. Small area estimation offers help to allocate resources efficiently to address poverty at lower administrative level. This study used data from Census 2011 and Household Income and Expenditure Survey (HIES)-2010. Using ELL and M-Quantile methods, this study identified Rangpur division as the poorest one where Kurigram is the poorest district. Finally, considering both upper and lower poverty lines this study identified the poverty estimates at upazila level of Rangpur division using ELL and M-Quantile methods. The analyses found that 32% of the households were absolute poor and 19% were extremely poor in rural Bangladesh. Among the upazilas under Rangpur division Rajarhat, Ulipur, Char Rajibpur, Phulbari, Chilmari, Kurigram Sadar, Nageshwari, and Fulchhari Upazilas have been identified as the poorest upazilas. Keywords: Small area, poverty, ELL, M-Quantile methods I. INTRODUCTION Bangladesh is a developing country in the south Asia. According to the recent statistics by Bangladesh Bureau of Statistics (BBS, 2017, HIES, 2010) the per capita annual income of Bangladesh is US$1610, estimated Gross Domestic Product (GDP) is 7.28, and the percentage below the poverty line (upper) is 24.30 percent. The population is predominantly rural, with about 70 percent people living in rural areas (HIES, 2016). In Bangladesh, poverty scenario was first surveyed in 1973-1974. -
Bangladesh: a Sustainable and Disaster Resilient Future
Bangladesh: A Sustainable and Disaster Resilient Future 6th DIPECHO Action Plan Prepared by Syed Shahnawaz Ali Programme Manager-DRR Islamic Relief Worldwide-Bangladesh M. Mizanur Rahman Programme Officer (Monitoring, Evaluaon and Research) Islamic Relief Worldwide-Bangladesh Nushrat Rahman Chowdhury Assistant Project Officer Islamic Relief Worldwide-Bangladesh Edited by Syed Shahnawaz Ali Programme Manager-DRR Islamic Relief Worldwide-Bangladesh Published by Islamic Relief Worldwide-Bangladesh June 2012 Special thanks to Niger Dil Nahar, Md. Simon Rahman, Norul Alam Raju, Abdus Samad SKS Team Photo Dr. Marfy Ryhan Bradley Klees M. Mizanur Rahman Design and Producon Preview Dhaka, Bangladesh Contact Islamic Relief Worldwide - Bangladesh House No: 10, Road No: 10, Block-K, Baridhara, Dhaka-1212 E-mail: [email protected] Web: www.irwbd.org This document has been prepared under the 6th DIPECHO Acon Plan for South Asia implemented by Islamic Relief Worldwide-Bangladesh working under the NARRI consorum. Islamic Relief Worldwide- Bangladesh preserves the copyright of this but it can be quoted or printed with proper acknowledgement. It has been produced with financial assistance from European Commission Humanitarian Aid and Civil Protecon (ECHO). The views expressed herein should not be taken, in any way, to reflect the official opinion of the European Commission Humanitarian Aid and Civil Protecon (ECHO). A Sustainable and Disaster Resilient Future Flood Prone Areas in Bangladesh A Sustainable and Disaster Resilient Future Introducon Bangladesh is one of the most disaster-prone countries in the world, suffering from regular floods, cyclones, earthquakes and drought. It is esmated that in the past 20 years, 135 million people in Bangladesh have been affected by natural disasters, and while many have lost their lives or been injured, millions of others have also lost their homes, land and livelihoods. -
The List of Participants That Attended Training on Project Management
The list of participants that attended training on Project Management Information System (PMIS) The training was conducted By Implementation Monitoring and Evaluation Division (IMED) Local Government Division Name, Designation & SL. No. Project Name with Code Mobile No. Date & Time Md. Ferdous Serniabat Accountant 04.04.2018-07.04.2018 1 01716038107 10.00 am - 1.30 pm 3731 -5018 Extention of Upazila project. 5022 important Urban infwtruter Development project. ABM Tarikul Islam 04.04.2018-07.04.2018 2 Accounts Officer 10.00 am - 1.30 pm 01713014883 Mohammad Selim 04.04.2018-07.04.2018 3 Assistant Engineer 10.00 am - 1.30 pm 3731 - 5012 Greater Dhaka, Tangail & kishoregonj 01711171075 District Shamsun Nahar 04.04.2018-07.04.2018 4 C/O 10.00 am - 1.30 pm 01717034009 BiplipKumar Dey 3731-5017 Greater Jessore Infrastructre development 04.04.2018-07.04.2018 5 Computer Oparetor project 10.00 am - 1.30 pm 01915092147 Quazi Md. Meher al Hafiz 04.04.2018-07.04.2018 6 Account Officer 10.00 am - 1.30 pm 01715008857 Sharnima Tasneem 3731-5054 HAOR Infrastructre and Livelihood Financial Management 04.04.2018-07.04.2018 7 Improvement project Child LEGD Specialyst 10.00 am - 1.30 pm 01911253831 Md. Habibur Rahman 04.04.2018-07.04.2018 8 [email protected] 10.00 am - 1.30 pm 01715109051 Kazi Shahedul Islam Senior Account officer 04.04.2018-07.04.2018 9 01971100754 10.00 am - 1.30 pm 3731-5072 TA Project capacity development project for participaery water Resources management Md. Deen Islam through integrated rural Development Office Assistant 04.04.2018-07.04.2018 10 01716792349 10.00 am - 1.30 pm Md. -
Bangladesh Trained Resource Pool for Joint Needs Assessment (JNA)
Needs Assessment Working Group (NAWG), Bangladesh Trained Resource Pool for Joint Needs Assessment (JNA) Participant Type of Sl. Designation Organization District Cell Email Address Training Area Sex Profile Year Name Organization S.M. Deloar Golachipa, [email protected] JNA Regional 1 PIO GoB GoB 1700717089 Male Trainee 2020 Hossain Patuakhali om Training , Barisal Ranjit Kumer drropatuakhali@g JNA Regional 2 DRRO Patuakhali GoB Patuakhali 1700716724 Male Trainee 2020 Sarker mail.com Training , Barisal Md. Rafiquil Patuakhali piomdrafiqulislam JNA Regional 3 PIO GoB GoB 1700717087 Male Trainee 2020 Islam Sadar @gmail.com Training , Barisal Boufol, [email protected] JNA Regional 4 Rajib Biswas PIO GoB GoB 1700717088 Male Trainee 2020 Patuakhali m Training , Barisal BMD Khulna Md. Amirul Met.BMD Khulna bmdkhulna@yaho JNA Regional 5 (Weather Office GoB Khulna 01717-272431 Male Trainee 2020 Azad office o.com Training , Khulna ) JNA Regional Azizul Haque drrokhulna@ddm. 6 DRRO Khulna DC Office GoB Khulna 01727-439240 Training for women Female Trainee 2020 joarder gov.bd staff, Khulna Sub-Assist. engineerazizul@g JNA Regional 7 Azizul Islam Engineer (Mujib DC Office GoB Khulna 01911-911229 Male Trainee 2020 mail.com Training , Khulna Killa Project) Md. Nazmus Ware house Fire service, Nazmussadat242 JNA Regional 8 GoB Khulna 01881-008585 Male Trainee 2020 Sadat inspector Khulna @gmail.com Training , Khulna JNA Regional drrogaibandha@g 9 Md. Idrish Ali DRRO Gaibandha GoB Gaibandha 1746499342 Training , Male Trainee 2020 mail.com Gaibandha JNA Regional Ms Fahema fahemaakter007 10 Project officer Coast Trust Local NGO Bhola 8801726734796 Training for women Female Trainee 2020 Akter @gmail.com staff, Barisal JNA Regional Shamima shamimasarmin19 11 Project Manager SDA Local NGO Patuakhali 01713-956305 Training for women Female Trainee 2020 Nasrin [email protected] staff, Barisal Participant Type of Sl.