Application of the Capital Approach to Compute Flood Hazard, Vulnerability, and Risk at the Sub-district Level of Rajshahi Division of Bangladesh

Floods are considered one of the most frequent and destructive disasters in Bangladesh, damaging infrastructure, human lifestyle, and social and economic status in general. In the Rajshahi Division of Bangladesh, the study focuses on how flood risk is affected by the lack of natural, human, physical, social, and financial capital at the sub-district level between 2011 and 2021. The analyses combine hydrological data and geospatial methods with other socioeconomic indicators to generate the risk, vulnerability, and hazard maps for informed decision-making and disaster management. The most crucial inputs for this analysis are the capital indices, population density, and water level statistics. The capital approach shows how geographically focused approaches can change the circumstances of flood risk. Indeed, such approaches help to build a more resilient and equitable flood management system by comparing incidence in differences in capital availability in specific areas. It has been identified that location-wise risk varies. In the study, it is found that the Singra sub-district is the lowest flood-risk-prone zone. The study implores open and collaborative approaches to disaster management, which promote initiatives that mitigate inequalities and facilitate sustainable development in Bangladesh's flood-prone regions. The results also show that the capital approach is a novel framework for risk analysis and suggest risk reduction measures for policymakers and disaster management authorities.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-13
DOI
https://doi.org/10.5281/zenodo.18725367
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of the Capital Approach to Compute Flood Hazard, Vulnerability, and Risk at the Sub-district Level of Rajshahi Division of Bangladesh

Aditya Dev, Anisul Haque
Zenodo (CERN European Organization for Nuclear Research)
Flood Risk Assessment and Management
article

Application of the Capital Approach to Compute Flood Hazard, Vulnerability, and Risk at the Sub-district Level of Rajshahi Division of Bangladesh

Aditya Dev, Anisul Haque
article en

Abstract

Floods are considered one of the most frequent and destructive disasters in Bangladesh, damaging infrastructure, human lifestyle, and social and economic status in general. In the Rajshahi Division of Bangladesh, the study focuses on how flood risk is affected by the lack of natural, human, physical, social, and financial capital at the sub-district level between 2011 and 2021. The analyses combine hydrological data and geospatial methods with other socioeconomic indicators to generate the risk, vulnerability, and hazard maps for informed decision-making and disaster management. The most crucial inputs for this analysis are the capital indices, population density, and water level statistics. The capital approach shows how geographically focused approaches can change the circumstances of flood risk. Indeed, such approaches help to build a more resilient and equitable flood management system by comparing incidence in differences in capital availability in specific areas. It has been identified that location-wise risk varies. In the study, it is found that the Singra sub-district is the lowest flood-risk-prone zone. The study implores open and collaborative approaches to disaster management, which promote initiatives that mitigate inequalities and facilitate sustainable development in Bangladesh's flood-prone regions. The results also show that the capital approach is a novel framework for risk analysis and suggest risk reduction measures for policymakers and disaster management authorities.

Zenodo (CERN European Organization for Nuclear Research)
Bangladesh University of Engineering and Technology (BD)
Climate action
Openalex Percentile: Top 30%
Flood Risk Assessment and Management
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.