Rashed Uz Zzaman

Bangladesh University of Engineering and Technology

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Sara Nowreen

Bangladesh University of Engineering and Technology

Md. Arif Chowdhury

University of Science and Technology

A. K. M. Saiful Islam

Bangladesh University of Engineering and Technology

Imran Hossain Newton

Texas A&M University

M. Sohel Rahman

Bangladesh University of Engineering and Technology

Ashik Iqbal

Bangladesh University of Engineering and Technology

Nusrat Jahan Tarin

Bangladesh University of Engineering and Technology

Md. Sadaf Abdullah

Bangladesh University of Engineering and Technology

Sujit Kumar Roy

Bangladesh University of Engineering and Technology

Anwar Zahid

Bangladesh Institute of Development Studies

Cooperative Institutions

Bangladesh University of Engineering and Technology

Institute of Water Modelling

University of Science and Technology

University Research Co (United States)

University of Dhaka

Bangladesh Institute of Development Studies

University of Engineering and Technology Lahore

University of Gour Banga

People's University of Bangladesh

University of Oxford

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ENVIRONMENTAL VULNERABILITY ASSESSMENT IN THE SOUTH-WEST COASTAL REGION OF BANGLADESH USING PRINCIPAL COMPONENT ANALYSIS

Coastal Engineering Proceedings (2020)

Nazeat Ameen Iqra Rashed Uz Zzaman Eugine Abhishek Rodrigues Anisul Haque Muhammad Shah Alam Khan

Being located in a low-lying coastal zone and having a unique brackish water ecosystem, the South-west region of Bangladesh is highly susceptible to environmental vulnerability. An assessment of environmental vulnerability over this large area of 24,188 km2 is a complex process and one of the most essential parts for any coastal zone management. Since the changes in the environmental indicators are posing adverse impacts, the environment tends to be more vulnerable. This study assesses the environmental vulnerability in 40 Upazilas (lower level of the administrative unit) in the South-west region of Bangladesh. After reviewing the literature, this study incorporated 10 relevant indicators (i.e. soil type, average temperature, vegetation change, population density, population change, road density, surface salinity, Cumulative Dry Day (CDD), Cumulative Wet Day (CWD), groundwater level). Principal Component Analysis (PCA) was applied to find the weight for each indicator in IBM SPSS 20 software and the values were normalized into a unified dimension. The generated environmental vulnerability map is assorted into five vulnerability groups consisting of very low, low, medium, high, very high vulnerabilities with an interval of 0-0.05, 0.05-0.4, 0.4-0.5, 0.5-0.6, 0.6-1.0 respectively. From the spatial analysis, it has been seen that the vulnerability groups representing very low, low, medium, high, and very high contain 10percent, 35percent, 28percent, 17percent, and 10percent of the Upazilas, respectively. The findings of environmental vulnerability assessment can support effective guidance for long-term environmental management in terms of coastal zone management. The development framework can be assessed at different spatial and temporal scales in the coastal zone with the availability of environmental indicator data and by applying the PCA method.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/iQ_CwlOBCJE

Vulnerability

10.9753/icce.v36v.papers.24

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Citations (1)

Spatial variability of climatic hazards in Bangladesh

Natural Hazards (2021)

Md. Arif Chowdhury Rashed Uz Zzaman Nusrat Jahan Tarin Mohammad Jobayer Hossain

Natural hazard

Extreme Weather

Hazard map

10.1007/s11069-021-05039-3

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Citations (20)

Empowering real-time flood impact assessment through the integration of machine learning and Google Earth Engine: a comprehensive approach

Environmental Science and Pollution Research (2024)

Nafis Sadik Khan Sujit Kumar Roy Swapan Talukdar Mostaim Billah Ashik Iqbal

Flood forecasting

Earth observation

Land Cover

10.1007/s11356-024-33090-7

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Citations (5)

Drinking Water Insecurity in Southwest Coastal Bangladesh: How Far to SDG 6.1?

Water (2021)

Mohammad Jobayer Hossain Md. Arif Chowdhury Sayka Jahan Rashed Uz Zzaman Syed Labib Ul Islam

Substantial progress has been seen in the drinking water supply as per the Millennium Development Goals (MDG), but achieving the Sustainable Development Goals (SDG), particularly SGD 6.1 regarding safely managed drinking water with much more stringent targets, is considered as a development challenge. The problem is more acute in low-income water-scarce hard-to-reach areas such as the southwest coastal region of Bangladesh, where complex hydrogeological conditions and adverse water quality contribute to a highly vulnerable and insecure water environment. Following the background, this study investigated the challenges and potential solutions to drinking water insecurity in a water-scarce area of southwest coastal Bangladesh using a mixed-methods approach. The findings revealed that water insecurity arises from unimproved, deteriorated, unaffordable, and unreliable sources that have significant time and distance burdens. High rates of technical dysfunction of the existing water infrastructure contribute to water insecurity as well. Consequently, safely managed water services are accessible to only 12% of the population, whereas 64% of the population does not have basic water. To reach the SDG 6.1 target, this underserved community needs well-functioning readily accessible water infrastructure with formal institutional arrangement rather than self-governance, which seems unsuccessful in this low-income context. This study will help the government and its development partners in implementing SDG action plans around investments to a reliable supply of safe water to the people living in water-scarce hard-to-reach coastal areas.

Millennium Development Goals

10.3390/w13243571

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A Machine Learning-based Approach for Groundwater Mapping

Natural Resources Research (2021)

Rashed Uz Zzaman Sara Nowreen Irtesam Mahmud Khan Md. Rajibul Islam Nabil Ibtehaz

10.1007/s11053-021-09977-4

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Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors

Journal of Flood Risk Management (2021)

Rashed Uz Zzaman Sara Nowreen Maruf Billah A. K. M. Saiful Islam

Abstract Flood havoc during 2019 in the Sangu River basin caused widespread damage to residents, crops, roads, and communications in parts of hills in Bangladesh. Developing flood hazard maps can play an essential step in risks management. For this purpose, this study assessed 12 hydro‐geomorphological factors, namely, topographic wetness index, elevation, slope, extreme rainfall, land‐use and land‐cover, soil type, lithology, curvature, drainage density, aspect, height above the nearest drainage, and distance from streams. Maps prepared by individual application of the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) exhibit validation scores ranging from 0.77 to 0.79. It is found that the ANP‐based model under 1‐day maximum rainfall denotes a reliable hazard map presenting comparable accuracy to the field results. The hazard map under 100‐year return periods shows that a total of 0.71 million population living downstream is prone to “very high” flood because of its lowland morphology, mild slope, and high drainage density. Alarmingly, 39% of roads, 43% of farming lands, and 25% of education buildings are observed to lie in the highest flood‐prone area. Details on subdistrict level exposures have the potential to serve the decision‐makers and planners in site selection for flood management strategies and setting priorities for remedial measures.

Topographic Wetness Index

Drainage density

Elevation (ballistics)

Land Cover

Return period

10.1111/jfr3.12715

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Citations (57)

Assessing vulnerability of fishermen communities in coastal Bangladesh: A “climate vulnerability index”- based study in Assasuni Upazila, Satkhira, Bangladesh

Natural Hazards Research (2024)

I. I. Ahmed Md. Arif Chowdhury Rashed Uz Zzaman Syed Labib Ul Islam Shamsun Nahar

Climate Vulnerability Index (CVI) is developed to measure the susceptibility of communities to climate change using a case study. The index includes factors for each of the three aspects of vulnerability, including 'Exposure', 'Sensitivity', and 'Adaptive Capability'. Sensitivity is determined by "Health", "Food", and "Water", Adaptive Capability is characterized by "Socio-demographic profile," "Livelihood strategies," and "Social networks", and Exposure is identified by "Natural Disaster" and "Climate Variability". A study was conducted to investigate the vulnerability of fishermen in Assasuni Upazila, Satkhira, Bangladesh. The study involved individual surveys of randomly identified 100 fishermen from three groups: Gher-based, Ocean-based, and River-based. The findings indicate that the Gher-based fishing community exhibits higher levels of adaptive capacity (0.39), sensitivity (0.57), and exposure (0.74) in comparison to the other two communities. The sub-indicator about the migration of individuals for Gher-based livelihoods exhibits a relatively higher value of 0.85, in contrast to the relatively lower values of 0.23 and 0.11 for river and ocean-based livelihoods, respectively. The utilization of index-based output observations may aid policymakers from national to local levels in identifying and implementing the appropriate adaptation practices that prioritize the welfare of fishing communities residing in the coastal regions of Bangladesh.

Vulnerability

Vulnerability index

Adaptive capacity

Social vulnerability

10.1016/j.nhres.2023.12.018

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Citations (1)

Cimca: Infusing Computational Intelligence in Multi-Criteria Analysis to Assess Groundwater Potential for Recharge

Rashed Uz Zzaman Muhammad Ali Nayeem Sara Nowreen Imran Hossain Newton A. K. M. Saiful Islam

Accurate location-based groundwater potential mapping is a vital tool to infer simple, efficient groundwater management in policy level planning. In this context, this study introduces a novel metaheuristic based multiobjective optimization model, namely, CIMCA for preparing groundwater accumulation maps in parallel to analyzing four different Multi-Criteria-Analysis (MCA) techniques. In CIMCA, computational intelligence (CI) based optimization is infused within the traditional MCA techniques, which is carefully guided/influenced by the domain expert’s input within the MCA part. The CIMCA model has been found to exploit the best of both worlds, i.e., optimization and domain expert’s influence, thereby achieving unbiased and consistent outputs having great prospects for mapping potential groundwater resources for sustainable planning. Takeaways from these comparative assessments, impact information at district and sub-district levels, exposure detailing on total numbers of pumping wells, etc., will be useful in formulating current planning and devising future strategies under the umbrella of sustainable groundwater management.

10.2139/ssrn.4533208

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Sustainability Challenges to Springshed Water Management in India and Bangladesh: A Bird’s Eye View

Sustainability (2023)

Sara Nowreen Anil Kumar Misra Rashed Uz Zzaman Lalit Pokhrel Sharma Md. Sadaf Abdullah

Springshed management across mountainous states, such as India and Nepal, has paved the way for the groundwater recharge process. In contrast, despite introducing several interventions, the Bangladeshi government has never been officially exposed to such sustainable ideas for a spring revival. Therefore, this study aims to diagnose water security for the Himalayan region by applying an environmental security framework. Community perceptions documented through focus group discussions and key informant interviews, as well as water sample testing, helped highlight the existing issues of water scarcity, accessibility, quality, and governance structure. Exemplifying the condition of Bandarban in Bangladesh, notable gaps were found in spring-related scientific understanding. Specifically, the lack of adequate reservoirs, institutional coordination, water supply, utility maintenance, and accessibility hurdles were identified as areas requiring immediate attention. As a recovery route, a six-step protocol of springshed management shows more promising outcomes. However, Sikkim communities in India raised questions over its efficacy due to the improper execution of said protocols. A limited understanding of hill science, including inventory and inadequate inspections before implementation, were found to result in only partial success. Upgrading remains a challenge as maladaptation might increase landslides. Therefore, development plans demand rigorous science-based investigation, consideration of local community knowledge, and (pilot) monitoring before the upscaling of springshed projects can be successfully conducted.

Water security

10.3390/su15065065

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Citations (3)

Study on Abstraction-Induced Recharge as an Adaptation Response to Climate Variation for Shallow Aquifer in Bangladesh

Md. Saiful Islam Tanjila Akhter Rashed Uz Zzaman Sara Nowreen

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Study on Abstraction-Induced Recharge as an Adaptation Response to Climate Variation for Shallow Aquifer in BangladeshAuthorsMd. SaifulIslamiDTanjilaAkhterRashedZzamanSaraNowreeniDSee all authors Md. Saiful IslamiD• Submitting AuthorStudentiDhttps://orcid.org/0000-0002-8952-4702view email addressThe email was not providedcopy email addressTanjila AkhterAssistant Professorview email addressThe email was not providedcopy email addressRashed ZzamanGraduate Studentview email addressThe email was not providedcopy email addressSara NowreeniDCorresponding AuthorBangladesh University of Engineering and TechnologyiDhttps://orcid.org/0000-0001-8116-4020view email addressThe email was not providedcopy email address

Abstraction

Variation (astronomy)

10.1002/essoar.10511674.1

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