DOCSLIB.ORG

JCP Bangladesh Metamodel

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
JCP Bangladesh Metamodel JCP Bangladesh Metamodel Expert reflection session (Water & Climate Change) July 16, 2020 Code of conduct • Please mute your microphone, if you don’t talk • Ask your questions in chat (will try after the topic presentations) • Raise your hand during discussions in Teams, if you want to make a remark 3 Program • Opening and introductions by chair Abu Saleh Khan (Executive Director, IWM) • Presentations progress Bangladesh Metamodel • Introduction (Marnix) • Detailed concepts/assumptions of WBM and NM (Riasat) • Calibration results of NM (Shahadat) • Calibration results of WBM (Kymo) • Results of runs with MM (Kymo) • Surface water salinity (Shahadat) • Closing by the chair • General reflection and recommendations Example of use of Metamodel for an investment project Agencies GED (Re-) (Re-)select Explore projects on SDG formulate clusters of & BDP goal contribution, project projects impacts and investment Assess & Assess (Re-)select projects into compare impact programs impact Concept Sector Assess and compare note Action Plan impact Impact explorer BDP Investment Plan Input to 8th & 9th 5YP & Impact explorer & Annual Development Plans Program manager Metamodel modules Metamodel engine module workflow State Indicators Decision Support Indicators Environmental flow (m3/s)* Annual rainfall damage (Taka) Network Salinity Dry season river flow (m3/s) (water in River navigability (km/class)* river) Annual flood extent (km2) Rural access to safe drinking water (%)* Habitat area suitable Water Annual flood duration (month) for protective species (km2)* Balance Extreme flood extent (km2) (water from Water Demand Waterlogged area (km2) river to GWL at end of dry season (m) upazila) Poor households affected Flood damage (Taka) Flood Agricultural by droughts, floods and salinity (%)* Damage production Displaced people due to disasters (%)* Rice production (Ton) Food security for the poor (%) Todays focus Food security Area affected by salinity (km2)* Cost of project implementation (Taka) * Under development 5 Reflection on Previous Expert Session (29-04-2020) More Information on Updating Technical Calibration & Validation Include river base flow Water Exchange Reference Whole Network (105 in MM between Land & River Documentation nodes) Final Waiting Final Ongoing Separate Calibration & Update BDP2100 Development USER Validation scenarios with Reference Manual Dry & Monsoon Season newest insights (SIBDP) Ongoing (105 nodes) Final Final Calibrate & Add information on Explore MM Validate Network BDP scenarios in MM Connection with Sector module in combination documentation Action Plans with WBM Final Final Ongoing Waterbalance “To simulate waterdepths and shortages up to field level for each landtype per upazila in Bangladesh” Simulation of: - Rainfall flooding: extents, depth, timing and duration - River and tidal flooding: extents, depth, timing and duration - Agricultural drought water availability / crop demand ratio - Hydrological drought impact on surface- and ground waterlevels Closely connected with River network module: “To emulate transport of water through the major river network of Bangladesh” Water distribution Spatial and temporal information • 10880 calculation units • Upazilas (544) • Inside/outside BWDB project boundaries (2) • Agricultural land type map (BARC, 1999) + shrimp, forest, settlements, rivers and waterbodies (10) • Variables • Dominant soil category per upazila calculation unit (topsoil texture map, BARC) • Average land height (mPWD) from Bangladesh DEM (WARPO) • Average height of embankments per upazila is assumed to be 50cm higher than highest wl (1985-2017) from nearest river • Initial average groundwater levels derived from BADC • Rootzone storage is informed by effective soil depth map (BARC) • Percolation rates are informed by soil drainage map (BARC) • Precipitation (and reference evaporation) is based on timeseries of nearest BMD-station (1985 – 2017) 3 main steps in a decadal time step Precipitation 1) Vertical distribution of water; 2) Horizontal Distribution of Water 3) Shortage of Excess of Evapotranspiration Water at Field Level Drainage Inlet GW Irrigation Infiltration + Percolation Module output for NW-region (base run) Observations: 1. Clear seasonal diff II. Large annual variation III. Residual moisture supplemented by GW irrigation in beginning of dry season Available for every district in Bangladesh (currently calibrated for NW-region) Module output for NW-region (base run) Observations: 1. Clear seasonal diff II. Large annual variation III. Residual moisture supplemented by GW irrigation in beginning of dry season Available for every district in Bangladesh (currently calibrated for NW-region) Example output: flooding and drought characteristics Main observations: I. Large annual variation II. Distinction in river floods and rainfall floods III. Timing and duration of floods inside/outside embankments IV. Crop water supply- demand ratio ~100% Available for every district in Bangladesh (currently calibrated for NW-region) Extent of Network Module Flow Distribution m1 Q_downstream-1 = B1 * (Q_upstream - QQo) Q_downstream-2 = Q_upstream - Q_downstream-1 Example case at Old Brahmaputra offtake: 1. QN80 = 0 when QN75 < 4900 m1 2. QN80 = B1*(QN75 - QQo1) when QN75 =< 21100 m2 3. QN80 = B2* (QN75 - QQo2) when QN75 > 21100 QN90 = QN75 – QN80 Water Level Calculation Relation between Discharge and Water Level at Mawa, Padma River (N300) 8 7 6 5 When Q <= 42277 4 d1 a1 n1 h01 3 0 3000 1.7 0.1 Water Level (mPWD) 2 1 When Q > 42277 0 d2 a2 n2 h02 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000 0 2500 1.9 0.3 Discharge (m^3/s) Jamuna River, Daudkandi Calibration and Validation Node NSE PBAIS R_square .peakError Log_NSE Season​ Categoty N90 0.98 -0.48 0.98 3228.58 0.98 Monsoon​ Calibration​ N90 0.98 0.59 0.99 -755.86 0.93 Dry​ Calibration​ N90 0.94 -0.03 0.94 -873.84 0.95 Monsoon​ Validation​ N90 0.96 1.27 0.97 -440.57 0.93 Dry​ Validation​ Ganges River, Sujanagar Calibration and Validation Node NSE PBAIS R_square .peakError Log_NSE Season Categoty N280 0.99 1.83 0.99 -1443.89 0.98 Monsoon Calibration N280 0.94 10.82 0.98 1364.86 0.93 Dry Calibration N280 0.99 -0.82 0.99 -2424.77 0.99 Monsoon Validation N280 0.96 10.79 1.00 1161.84 0.97 Dry Validation Hurasagar River, Ahmmadpur Calibration and Validation Node MAE R_square Season Categoty N220 0.55 0.87 Monsoon Calibration N220 0.41 0.71 Dry Calibration N220 0.74 0.86 Monsoon Validation N220 0.31 0.77 Dry Validation Karatoya River, Gomnati Bazar Calibration and Validation Node MAE R_square .peakError Season Categoty N185 0.44 0.75 0.14 Monsoon Calibration N185 0.43 0.13 0.68 Dry Calibration N185 0.46 0.78 0.36 Monsoon Validation N185 0.29 0.42 0.70 Dry Validation Teesta River, Singimari Calibration and Validation Node NSE PBAIS R_square .peakError LOG_NSE Season Categoty N62 0.41 4.08 0.43 2626.85 0.44 Monsoon Calibration N62 0.43 15.67 0.46 478.90 0.43 Dry Calibration N62 0.98 3.43 0.98 162.62 0.97 Monsoon Validation N62 0.94 7.41 0.95 40.46 0.55 Dry Validation Atrai River, Proshadpur Calibration and Validation Node NSE PBAIS R_square .peakError Log_NSE Season Categoty N176 0.25 -11.41 0.40 509.36 0.43Monsoon Calibration N176 0.22 9.91 0.30 227.27 -0.20Dry Calibration N176 0.20 -43.69 0.41 -84.35 0.14Monsoon Validation N276 0.62 33.10 0.81 198.31 0.09Dry Validation Verification of waterbalance results (NW-region) Little data available for calibration: suggestions? Source: Bangladesh Integrated Water resources Assessment, 2014 Some flood characteristics (Rajshahi division) Some drought characteristics (Rajshahi division) Source: Bangladesh Integrated Water resources Assessment, 2014 Climate change scenarios (∆ method) Impacts BDP2100 climate change scenarios for NW-region Scenario Base Productive Resilient Moderate Active Main observations: Climate situation 2020 2030 2050 2030 2050 2030 2050 2030 2050 Climate characteristics Sea level rise cm n/a 10 - 20 20 - 30 15 - 30 40 - 60 10 - 20 20 - 30 15 - 30 40 - 60 1. Much wetter in Temperature rise* ˚C n/a 0.5 1 1.5 2 0.5 1 1.5 2 Monsoon rainfall change % n/a 0 10 15 20 0 10 15 20 monsoon Dry season rainfall change % n/a 0 0 -10 -10 0 0 -10 -10 2. Larger & longer annual Peak discharge change % n/a 5 - 15 10 -20 15 - 30 20 - 40 5 - 15 10 - 20 15 - 30 20 - 40 Low flow discharge change % n/a -5 -15 -15 -30 -10 -25 -20 -40 floods, more extreme Decision support indicators Annual flood damage (infrastructure, housing, etc.) crore BDT 6.4 15% 37% 59% 88% 14% 37% 59% 88% floods Poor households affected by droughts and floods 522 7% 37% 59% 81% 7% 37% 59% 81% 3. Positive for GWL Annual rice crop production (T aman, Boro, Aus) Mtonnes 10.4 -1% -3% -5% -7% 0% -3% -5% -7% Food security for the poor: dietary energy supply calories/day n/a -22% -28% -25% -31% -22% -28% -25% -31% 4. Dry season low river Water system state indicators Total flood extent % of area 29% 8% 13% 21% 28% 8% 12% 21% 28% flow in Atrai basin Extreme flood extent % of area 47% 17% 22% 53% 64% 17% 22% 53% 64% decrease Flood duration days 114 1% 9% 12% 15% 1% 9% 12% 15% Dry season river flow (Atrai Basin) m3/s 25 7% 0% 0% -10% 4% -7% -3% -17% GWL decline per year cm 9 -3% -16% -22% -30% -3% -16% -22% -29% * effect on reference evapotranspiration Impacts BDP2100 climate change scenarios in time and space Impacts of BDP2100 climate change scenarios Main observations: 1. More rainfall -> more runoff 2. Slightly less GW irrigation + more percolation To do: Visualize river inflow/outflow Impacts of climate change on river discharge Impact of
Load more

Recommended publications
  • Temporal Changes of Haors in Sunamganj District by Using Landsat Images and Hydrological Data Farida Yasmin
    ASSESSMENT OF SPATIO - TEMPORAL CHANGES OF HAORS IN SUNAMGANJ DISTRICT BY USING LANDSAT IMAGES AND HYDROLOGICAL DATA FARIDA YASMIN Roll No: 0413162020 P DEPARTMENT OF WATER RESOURCE ENGINEERING BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY DHAKA, BANGLADESH March 2018 ASSESSMENT OF SPATIO - TEMPORAL CHANGES OF HAORS IN SUNAMGANJ DISTRICT BY USING LANDSAT IMAGES AND HYDROLOGICAL DATA by FARIDA YASMIN Roll No: 0413162020 P In partial fulfillment of the requirement for the degree of MASTER OF ENGINEERING IN WATER RESOURCES ENGINEERING Department Of Water Resource Engineering BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY Dhaka, Bangladesh March 2018 ii iii iv TABLE OF CONTENTS Page no. LIST OF FIGURES viii LIST OF TABLES xiii ABBREVIATIONS xiv ACKNOWLEDGEMEN xv ABSTRACT xvi CHAPTER 1 INTRODUCTION 1.1 Background of the Study 1 1.2 Scope of the Study 3 1.3 Objectives of the Study 4 1.4 Organization of Thesis Work 5 CHAPTER 2 LITERATURE REVIEW 2.1 General 6 2.2 Definition of Wetland 6 2.3 Importance of Wetland 8 2.4 Wetlands around the World 9 2.5 Wetlands of Bangladesh 10 2.6 Previous Studies on Wetland in Bangladesh 16 2.7 Summary 19 v CHAPTER 3 THEORY AND METHODOLOGY Page no. 3.1 General 20 3.2 Remote Sensing (RS) and Global Information System (GIS) 20 3.2.1 Principles of Remote Sensing Systems 21 3.2.2 Primary Components of Remote Sensing 21 3.2.3 Types of Remote Sensing 22 3.3 Application of GIS 23 3.4 Components of GIS 24 3.5 Working Principle of GIS 25 3.6 Methodology of the Study 26 3.6.1 Study Area 28 3.6.2 Data Collection
    [Show full text]
  • Historical Geography and Demography of Colonial Northern Bengal
    Chapter I Historical Geography and Demography of Colonial Northern Bengal The present chapter seeks to historicize the geographical transformations and ecological vulnerabilities during the colonial periods in northern Bengal. The chapter also intends to explain the demographic transformations of northern Bengal shaped by the environmental factors and natural disasters occurred during the period of the study. Apart from the geographical and demographical changes the chapter will also focus on the political construction of the northern Bengal districts which had gone through several territorial and administrative adjustments and transfers of lands among each other even in the first half of the twentieth century. In order to analyse the geographical characteristics, the river system, change of river course and formation of new lands seemed to be the most decisive factor for the geographical construction of the region. Northern Bengal had a great variety of topographical structures which extended from the Darjeeling Himalayan ranges to the riverine inundated agricultural tracts. Niharranjan Ray, while describing the northern boundary of Bengal, has argued that the north of Bengal is bounded up by the Sikkim and the snowy Himalayan peak of Kanchenjungha below which there are Jalpaiguri and Darjeeling districts.1 The districts of Jalpaiguri, Darjeeling and the State of Cooch Behar were overwhelmingly populated by the hilly tribes viz. Lepcha, Limbu, Koch, Rajbanshi, and Bhutia; and the north-eastern boundary in the ancient time was extended up to the Brahmaputra river which demarcated the eastern and western boundary of Pundrabardhan and Kamrup State respectively.2 H. Blochmann has mentioned about the five ‘districts’ of Bengal during pre-medieval period viz.
    [Show full text]
  • Fish Assemblage and Structure As Well As Hydrological Parameters at Karatoya Fish Sanctuary, Panchagarh, Bangladesh
    Iranian Journal of Fisheries Sciences 18(1) 140-162 2019 DOI: 10.22092/ijfs.2018.117727 Fish assemblage and structure as well as hydrological parameters at Karatoya Fish Sanctuary, Panchagarh, Bangladesh Md. Rashidul I.1*; Md. Jewel M.1; Shirin S2. Received: August 2016 Accepted: February 2017 Abstract Spatiotemporal variations in fish assemblage structure was studied from January to December 2015 in order to understand the impacts of the sanctuary on ichthyo-faunal diversity and to determine the indices and major hydrological factors in six sampling stations of Karatoya Fish Sanctuary sectioned in the River Karatoya. A total of 69 fish species were obtained from this sanctuary including 21 threatened species where Aspidoparia jaya, Pethia ticto, Puntius sophore, Canthophrys gongota and Barilius barna were the major contributory species (>4.17%) both in space and time. The uppermost species richness and abundance were viewed in January and lowest in May. Based on analysis of similarities (ANOSIM), fish assemblages were significantly different in all stations (p<0.001, R=0.15) and months (p<0.001, R=0.62). Through two-dimensional nonmetric multidimensional scaling (nMDS) and cluster analysis based on Bray-Curtis similarity index, assemblages were alienated into two groups at a value of 42% and 28% partition for station and month, respectively. Canonical Correspondence Analysis (CCA) recognized considerable relations between the number -1 Downloaded from jifro.ir at 2:44 +0330 on Sunday September 26th 2021 of fishes and hydrological parameters where dissolved oxygen (mg L ) and water temperature (ºC) were the main leading factors in shaping the fish assemblage structure.
    [Show full text]
  • Bangladesh Delta Plan (BDP) 2100 (Bangladesh in the 21St Century)
    Bangladesh Delta Plan (BDP) 2100 (Bangladesh in the 21st Century) Mohammad Asaduzzaman Sarker Senior Assistant Chief General Economics Division Bangladesh Planning Commission Bangladesh Delta Features . Built on the confluence of 3 mighty Rivers- the Ganges, the Brahmaputra and the Meghna; . Largest dynamic delta of the world; . Around 700 Rivers: 57 Trans-boundary (54 with India and 3 with Myanmar); . 93% catchment area lies outside Bangladesh with annual sediment load of 1.0 to 1.4 billion tonnes; . Abundance of water in wet season but scarcity of water in dry season. January 21, 2019 GED, Bangladesh Planning Commission 2 Bangladesh Delta Challenges According to IPCC-AR 5 and other studies . Rising Temperatures (1.4-1.90C increase by 2050, if extreme then 20C plus) . Rainfall Variability (overall increase by 2030, but may decrease in Eastern and southern areas) . Increased Flooding (about 70% area is within 1m from Sea Level) . Droughts (mainly Agricultural Drought) . River Erosion (50,000 households on avg. become homeless each year) . Sea Level Rise (SLR) and consequent Salinity Intrusion (by 2050 SLR may be up to 0.2-1.0 m; salinity increase by 1ppt in 17.5% & by 5ppt in 24% area) . Cyclones and Storm Surges (Frequency and category will increase along with higher storm surges) . Water Logging . Sedimentation . Trans-boundary Challenges 3 GED, Bangladesh Planning Commission Bangladesh Delta Opportunities Highly fertile land The Sundarbans . Agricultural land: 65% . The largest natural mangrove forest . Forest lands: 17% . Unique ecosystem covers an area of 577,000 ha of . Urban areas: 8% which 175,400 ha is under water . Water and wetlands: 10%.
    [Show full text]
  • Factor Analysis of Water-Related Disasters in Bangladesh
    ISSN 0386－5878 Technical Note of PWRI No.4068 Factor Analysis of Water-related Disasters in Bangladesh June 2007 The International Centre for Water Hazard and Risk Management PUBLIC WORKS RESEARCH INSTITUTE 1-6, Minamihara Tukuba-Shi, Ibaraki-Ken, 305-8516 Copyright ○C (2007) by P.W.R.I. All rights reserved. No part of this book may be reproduced by any means, nor transmitted, nor translated into a machine language without the written permission of the Chief Executive of P.W.R.I. この報告書は、独立行政法人土木研究所理事長の承認を得て刊行したものであ る。したがって、本報告書の全部又は一部の転載、複製は、独立行政法人土木研 究所理事長の文書による承認を得ずしてこれを行ってはならない。 Technical Note of PWRI No.4068 Factor Analysis of Water-related Disasters in Bangladesh by Junichi YOSHITANI Norimichi TAKEMOTO Tarek MERABTENE The International Centre for Water Hazard and Risk Managemant Synopsis: Vulnerability to disaster differs considerably depending on natural exposure to hazards and social conditions of countries affected. Therefore, it is important to take practical disaster mitigating measures which meet the local vulnerability conditions of the region. Designating Bangladesh as a research zone, this research aims to propose measures for strengthening the disaster mitigating system tailored to the region starting from identifying the characteristics of the disaster risk threatening the country. To this end, we identified the country’s natural and social characteristics first, and then analyzed the risk challenges and their background as the cause to create and expand the water-related disasters. Furthermore, we also analyzed the system
    [Show full text]
  • Pedogenesis and Characterization of Some Soils from the Chalan Reel of Bangladesh
    J. Asiat. Soc. Bangladesh, Sci. 40(2): 271-281, December 2014 PEDOGENESIS AND CHARACTERIZATION OF SOME SOILS FROM THE CHALAN REEL OF BANGLADESH A.B.M.S. ISLAM1, Z.H. KHAN2' AND A.R. MAZUMDER2 Department ofSoil Science, Patuakhali Science and Technology University, Patuakhali, Bangladesh, 1Department ofSoil, Water and Environment, University of Dhaka. Dhaka-1000, Bangladesh. Abstract Twenty two soil samples from four pedons representing some established soil series namely Jaonia, Haiti, Taras and Digli from the Chalan beel area of Bangladesh were studied in the field as well as in the laboratory for their pedogenesis and characterization. All the soils are heavy textured with clay contents ranging from 47 to 60 percent. The soils are moderately acidic to neutral in reaction with high base saturation. The soils have developed redoximorphic features including redox concentration and redox depletion due to periodic flooding more than 4 months in the monsoon season. Development of cambic horizon in these soils is the most notable morphogenetic feature. Gleization and weak hydromorphism are the dominant pedogenic processes. At the subgroup level the soiis were classified as Typic Endoaquepts and Aerie Endoaquepts. Finally the soiis are characterized at the family level of soil taxonomy. Key words. Chalan beel, Soil morphology, Pedogenesis, Characterization Introduction Chalan beel, the largest beel in Bangladesh, is a low lying wetland area between the Barind tract and the Ganges river floodplains. It is located between 24°05' to 24°35' N latitude and 89° to 89°35'E longitude. The Chalan beel area belongs to the physiographic unit lower Atrai basin (FAO-UNDP 1988).
    [Show full text]
  • Raishahi Zamindars: a Historical Profile in the Colonial Period [1765-19471
    Raishahi Zamindars: A Historical Profile in the Colonial Period [1765-19471 Thesis Submitted to the University of North Bengal, Darjeeling, India for the Degree of Doctor of Philosophy, History by S.iVI.Rabiul Karim Associtate Professor of Islamic History New Government Degree College Rajstiahi, Bangladesh /^B-'t'' .\ Under the Supervision of Dr. I. Sarkar Reader in History University fo North Bengal Darjeeling, West Bengal India Janiary.2006 18^62/ 2 6 FEB 4?eP. 354.9203 189627 26 FEB 2007 5. M. Rahiul Karitn Research Scholar, Associate Professor, Department of History Islamic History University of North Bengal New Government Degree College Darjeeling, West Bengal Rajshahi, Bangladesh India DECLARATION I hereby declare that the Thesis entitled 'Rajshahi Zamindars: A Historical Profile in the Colonial Period (1765-1947)' submitted by me for the Degree of Doctor of Philosophy in History of the Universit\' of North Bengal, is a record of research work done by me and that the Thesis has not formed the basis for the award of any other Degree, Diploma, Associateship, Fellowship and similar other tides. M^ Ro^JB^-vvA. VxQrVvvv S. M. Rabiul Karim (^ < o t • ^^ Acknowledgment I am grateful to all those who helped me in selecting such an interesting topic of research and for inspiring me to complete the present dissertation. The first person to be remembered in this connection is Dr. I. Sarkar, Reader, Department of History, University of North Bengal without his direct and indirect help and guidance it would not have been possible for me to complete the work. He guided me all along and I express my gratitude to him for his valuable advice and method that I could follow in course of preparation of the thesis.
    [Show full text]
  • Assessment of Heavy Metals in the Sediments of Chalan Beel Wetland Area in Bangladesh
    processes Article Assessment of Heavy Metals in the Sediments of Chalan Beel Wetland Area in Bangladesh Mohammad Abdus Salam 1,* , Mohammad Ashraful Alam 2 , Sulav Indra Paul 3 , Fatama Islam 1, Dinesh Chandra Shaha 4, Mohammad Mizanur Rahman 2 , Mohammad Arifur Rahman Khan 5, Mohammad Mahbubur Rahman 3, Abul Kalam Mohammad Aminul Islam 6, Tofayel Ahamed 7, Golum Kibria Muhammad Mustafizur Rahman 2, Mohammad Giashuddin Miah 7, Abdul Mannan Akanda 8 and Tofazzal Islam 3 1 Department of Genetics & Fish Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh; [email protected] 2 Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh; [email protected] (M.A.A.); [email protected] (M.M.R.); mustafi[email protected] (G.K.M.M.R.) 3 Institute of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh; [email protected] (S.I.P.); [email protected] (M.M.R.); [email protected] (T.I.) 4 Department of Fisheries Management, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh; [email protected] 5 Department of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh; [email protected] 6 Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Citation: Salam, M.A.; Alam, M.A.; Gazipur 1706, Bangladesh; [email protected] 7 Paul, S.I.; Islam, F.; Shaha, D.C.; Department of Agroforestry and Environment, Bangabandhu Sheikh Mujibur Rahman Agricultural Rahman, M.M.; Khan, M.A.R.; University, Gazipur 1706, Bangladesh; [email protected] (T.A.); [email protected] (M.G.M.) 8 Rahman, M.M.; Islam, A.K.M.A.; Department of Plant Pathology, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh; [email protected] Ahamed, T.; et al.
    [Show full text]
  • IIFET 2012 Tanzania Proceedings
    IIFET 2012 Tanzania Proceedings ECONOMIC INCENTIVE FOR WETLAND BIODIVERSITY AND FISHERIES CONSERVATION: THE CASE OF CHALAN BEEL (WETLAND) Aminur Rahman School of Business Independent University, Bangladesh ABSTRACT Chalan Beel, a wetland situated in the North Western Bangladesh is a very potential wetland with immense biodiversity and fisheries value. Its management problem has engulfed with suggestions ranging from private leasing, joint administration by public representation and government and community based approaches. However, nothing sustainable so far emerged concerning bio diversity and mother fishery conservations. In the midst of this uncertainty an approach based on economic incentives can be a way out to conserve biodiversity. Incentives are placed to influence people’s behavior by making objects more desirable for conservation rather than degrade and deplete it. Economic activities many ways harm biodiversity as it may sometime sounds economically profitable from individual point of view and existence of different failures leading to externalities. Since economic incentives for biodiversity and fisheries conservation can take various forms, the appropriate incentives depend on a wide range of factors, including social, political and economic. Any form of management needs augmentation of clear understanding of right economic signals so that efficient level of resources is utilized. Since the issue is a complex one different incentive have been analyzed with their relevant costs and benefits conducting surveys among the stakeholders where the options based on market based ones have better chance to conserve rare fishery spices and bio diversities rather than using Command and Control ones. For resource valuation Benefit Transfer Method has been used. INTRODUCTION Chalan Beel is one of the largest inland depression of marshy character and also one of the richest wetland areas of Bangladesh.
    [Show full text]
  • How Seasonal Fish Biodiversity Is Impacting Local River Fisheries and Fishers Socioeconomic Condition: a Case Study in Bangladesh
    Journal of Survey in Fisheries Sciences 7(2) 79-103 2021 How seasonal fish biodiversity is impacting local river fisheries and fishers socioeconomic condition: A case study in Bangladesh Momi M.M.A.1,2; Islam M.S.1; Farhana T.3; Iqbal S.4; Paul A.K.2; Atique U.4,5* Received: May 2020 Accepted: November 2020 Abstract River fisheries are critical to ensure the sustainable provision of quality food and nutrition as well as economic stability of the millions of local populations in developing nations. The Fakirni River is home to a diversity of fish species. Here, we present the status and seasonal abundance of fish species in the Fakirni River and their impact on the fishermen's livelihood compared to other small rivers in Bangladesh. Monthly sampling was carried out using a lift net, and a total of 26 fish species belonging to 18 genera, ten families, and six orders were recorded during 12 months. The Shannon-Weiner diversity, species richness, evenness index, dominance, Simpson index, Brillouin index, equitability, and Berger- Parker indices provided 1.61±0.47, 1.93±0.53, 0.52±0.41, 0.29±0.17, 0.70±0.17, 1.47±0.41, 0.68±0.17, and 0.42±0.18, respectively. The Bray-Curtis similarity cluster analysis was performed among the diversity indices and observed three available fish species. Almost all the fishermen (91%) were Muslim of age 38.67±15.05 years and possessed fishing experience for 19.94±15.42 years, with a monthly income of BDT 4166.67±1331.85.
    [Show full text]
  • Geologic, Geomorphic and Hydrologic Framework and Evolution of the Bengal Basin, India and Bangladesh
    Journal of Asian Earth Sciences 34 (2009) 227–244 Contents lists available at ScienceDirect Journal of Asian Earth Sciences journal homepage: www.elsevier.com/locate/jaes Geologic, geomorphic and hydrologic framework and evolution of the Bengal basin, India and Bangladesh Abhijit Mukherjee a,*, Alan E. Fryar b, William A. Thomas b a Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, University Station, Box X, Austin, TX 78713-8924, USA b Department of Earth and Environmental Sciences, University of Kentucky, KY 40506-0053, USA article info abstract Article history: The Bengal basin, the largest fluvio-deltaic sedimentary system on Earth, is located in Bangladesh and Received 7 June 2007 three eastern states of India. Sediment accumulates in the basin from the Ganges, Brahmaputra, and Meg- Received in revised form 9 May 2008 hna (GBM) river systems and is dispersed into the Bay of Bengal, forming the largest submarine fan in the Accepted 22 May 2008 world. The basin is located in the Himalayan foreland at the junction of the Indian, Eurasian, and Burmese plates. The basin is bounded by the Indian craton on the west and the Indo-Burmese fold belts on the east. It can be broadly divided into a stable shelf and a foredeep separated by a deep seismic hinge zone. Basin Keywords: sediments overlie Gondwanan basement and vary in thickness from a few kilometers on the stable shelf Ganges to more than 16 km in the foredeep. The basin was initiated at the breakup of Gondwanaland in the late Brahmaputra Meghna Mesozoic and evolved through the formation of the proto-GBM delta to the present delta starting around Fluvio-deltaic system 10.5 Ma.
    [Show full text]
  • Stock Identification of Minor Carp, Cirrhinus Reba, Hamilton 1822
    Ethin et al. Fisheries and Aquatic Sciences (2019) 22:12 https://doi.org/10.1186/s41240-019-0128-1 RESEARCH ARTICLE Open Access Stock identification of minor carp, Cirrhinus reba, Hamilton 1822 through landmark-based morphometric and meristic variations Rokhsana Ethin1†, Md Shakhawate Hossain1,2†, Animesh Roy1 and Marcellin Rutegwa3* Abstract Background: Wild fish populations stock is continuously diminishing in the Indo-Ganges river basin, and the population status of most fishes is unidentified. The identification of the population status and the conservation of commercially important and endemic wild fish populations in this region are crucial for the management. The aim of this paper was to identify the population status of Cirrhinus reba, a promising aquaculture but vulnerable species in the Indo-Ganges river basin in Bangladesh. Methods: C. reba samples were collected from four isolated populations of the Brahmaputra (n = 30), the Padma (33), the Karatoya (31), and the Jamuna Rivers (30) in Bangladesh, and the population status was evaluated using morphometric and landmark comparisons. Data were analyzed with the Kruskal-Wallis test, univariate analysis, discriminant function analysis, and the formation of a dendrogram. Results: Three meristic characters (Pectoral fin rays, caudal fin rays, scale in lateral lines), four morphometric characters (head length, pre-orbital length, post-orbital length, maximum body depth), and truss measurement (4–7) were significantly different among the stocks. The step-wise discriminant function analysis retained 15 variables from morphometric and landmark measurements that significantly differentiated the populations based on the constructed DFI and DFII. Discriminate function analysis also showed that 91.2% of the original groups were classified into their correct samples.
    [Show full text]