Sedimentation-induced flood risks and food security in Bangladesh’s Haor basin: a geospatial multi-index approach

Sedimentation, floodplain degradation, and altered hydrological regimes are major global challenges that undermine river basin resilience and water–food security. These pressures are most severe where upstream catchment processes and climate variability reshape downstream hydro-morphological systems. The north-eastern Haor floodplains of Bangladesh, particularly within the Om-Piyan-Dawki River system, exemplify these risks. Here, intense rainfall and runoff from Meghalaya accelerate sedimentation and flooding, with cascading impacts on agriculture, fisheries, and biodiversity. This study assesses sedimentation-induced risks to food security using a geospatial multi-index model that integrates Landsat imagery (1996–2021) with field observations. Results reveal a 904% increase in silted land and a 42% decline in water bodies, largely due to sand-dominated deposits. Wetlands, highly vulnerable to suspended sediment (>200 mg/L), expanded from 4% to 44%, severely affecting fisheries. The Sari-Gowain River’s water-carrying capacity declined threefold (2014–2018), while the Piyan River is nearing functional extinction, exacerbating biodiversity loss. Coupled with shifting rainfall patterns that aggravate flash floods, these changes reduced crop returns by 18%. The findings highlight the urgent need for integrated mitigation and adaptive management strategies to sustain ecological integrity, agricultural productivity, and water sustainability in flood-dependent systems worldwide.

Authors

Institutions

Publication Details

Journal
Geomatics Natural Hazards and Risk
Published
2025-12-03
DOI
https://doi.org/10.1080/19475705.2025.2588258
Citations
2
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sedimentation-induced flood risks and food security in Bangladesh’s Haor basin: a geospatial multi-index approach

Shampa Shampa, Ashik Iqbal, Sonia Binte Murshed, A. K. M. Saiful Islam et al.
2 citations
Geomatics Natural Hazards and Risk
Flood Risk Assessment and Management
2.21
article

Sedimentation-induced flood risks and food security in Bangladesh’s Haor basin: a geospatial multi-index approach

Shampa Shampa, Ashik Iqbal, Sonia Binte Murshed, A. K. M. Saiful Islam, Md. Munsur Rahman, Md. Nabil Shad
article en
2 citations

Abstract

Sedimentation, floodplain degradation, and altered hydrological regimes are major global challenges that undermine river basin resilience and water–food security. These pressures are most severe where upstream catchment processes and climate variability reshape downstream hydro-morphological systems. The north-eastern Haor floodplains of Bangladesh, particularly within the Om-Piyan-Dawki River system, exemplify these risks. Here, intense rainfall and runoff from Meghalaya accelerate sedimentation and flooding, with cascading impacts on agriculture, fisheries, and biodiversity. This study assesses sedimentation-induced risks to food security using a geospatial multi-index model that integrates Landsat imagery (1996–2021) with field observations. Results reveal a 904% increase in silted land and a 42% decline in water bodies, largely due to sand-dominated deposits. Wetlands, highly vulnerable to suspended sediment (>200 mg/L), expanded from 4% to 44%, severely affecting fisheries. The Sari-Gowain River’s water-carrying capacity declined threefold (2014–2018), while the Piyan River is nearing functional extinction, exacerbating biodiversity loss. Coupled with shifting rainfall patterns that aggravate flash floods, these changes reduced crop returns by 18%. The findings highlight the urgent need for integrated mitigation and adaptive management strategies to sustain ecological integrity, agricultural productivity, and water sustainability in flood-dependent systems worldwide.

Geomatics Natural Hazards and RiskVol. 16(1)
Bangladesh University of Engineering and Technology (BD)
Openalex Percentile: Top 11%
Flood Risk Assessment and Management
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.