Evidence map›Paper›PMID 39592629›Full record

ArticleScientific reports2024

Assessing flooding extent and potential exposure to river pollution from urbanizing peripheral rivers within Greater Dhaka watershed.

Nafis Sadik Khan, Shammi Shawal, Mohammed Abed Hossain, Nishat Tasnim, Paul G Whitehead, Mahfujur Rahman

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nafis Sadik KhanInstitute of Water and Flood Management (IWFM), Dhaka, Bangladesh. nfskhan7@gmail.com.
Shammi ShawalInstitute of Water and Flood Management (IWFM), Dhaka, Bangladesh.
Mohammed Abed HossainInstitute of Water and Flood Management (IWFM), Dhaka, Bangladesh.
Nishat TasnimInstitute of Water and Flood Management (IWFM), Dhaka, Bangladesh.
Paul G WhiteheadSchool of Geography and the Environment, University of Oxford, South Parks Road, Oxford, OX1 3QY, UK.
Mahfujur RahmanInstitute of Water and Flood Management (IWFM), Dhaka, Bangladesh.

Funding

FCDO (UK) Grant: REACH: Improving Water Security for the Poor Programme Code 201880MoEFCC (GoB) Grant: River Health Card Development Contract no. 22.02.0000.045.51.004.18-01
6 · The paper itself

Abstract

Greater Dhaka area is home to large industrial clusters that are driving economic growth and the poverty reduction efforts of Bangladesh. These clusters are located around peripheral rivers- Turag, Buriganga, Dhaleswari, Balu, Shitalakhya, Bangshi, and Tongi-Khal, which are important for water transport, environment, and eco-systems where flooding of floodplains in monsoon is an integral part. The urban and industrial growth stressing natural resources has led to severe degradation of the rivers and floodplains, affecting the livelihoods, health, and well-being of the people. Monsoon-time exposure to polluted water is yet to be studied and addressed scientifically. This study looked into the water quality and flooding situation of Greater Dhaka for two successive monsoons through extensive river sampling coupled with the estimation of flooded area and exposed population using remote sensing tools. Sentinel 1's Synthetic Aperture Radar (SAR) images are used for flood mapping considering cost-effectiveness and its advantages for data-scarce regions. The estimated population exposed to flooding was over 668,000 in 2019, and this number increased by 1.53 times in 2020, totaling over one million. During the monsoon and post-monsoon periods of 2019 and 2020, Buriganga, Tongi Khal, and Balu were consistently in poor condition. The lowest water quality index (WQI) was observed in Balu during the monsoon of 2019 (32.28), post-monsoon of 2019 (35.71), and post-monsoon of 2020 (29.58). The lowest WQI during the monsoon of 2020 was recorded in Tongi Khal (35.75). Among the four districts, Dhaka and Gazipur were the most affected by floods in terms of inundation area and exposed population. Our study indicates that most rivers remain in poor condition during the monsoon when exposure is also high. This highlights the need for policymakers to take monsoon exposure seriously and design appropriate interventions.

Indexed as

DhakaFloodRemote sensingSentinel 1Water pollutionWater QualityWater Quality Index

Identifiers

PMID39592629
PMCPMC11599561

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.