Geospatial Analysis of Flood Vulnerability Using GIS-Based Multi-Criteria Decision—Analysis for Ahoada East and West Local Government Areas of Rivers State, Nigeria

Flooding poses a persistent and escalating threat to communities in the Niger Delta, particularly in Ahoada East and Ahoada West, and this study employs a Multi-Criteria Decision Analysis (MCDA) approach to assess the risks and impacts. The primary aim was to identify, map, and assess the spatial distribution of flood-prone areas and the varying degrees of vulnerability, thereby informing effective disaster risk management. Employing a quantitative research design, the study integrated diverse physical (e.g., elevation, slope, proximity to rivers), environmental (e.g., land use/land cover, drainage density), and socio-economic indicators (e.g., population density, housing quality, access to services). The Analytical Hierarchy Process (AHP) was utilized to determine indicator weights, followed by Weighted Linear Combination (WLC) to generate a composite flood vulnerability map. The findings reveal a heterogeneous spatial distribution of vulnerability, with areas along major river channels and those characterized by low-lying topography exhibiting the highest susceptibility. Crucially, socio-economic sensitivities, such as high population density and informal housing, significantly amplify overall vulnerability, transforming moderately exposed areas into high-risk zones. The study implicitly highlights a pervasive low adaptive capacity, underscoring the communities’ limited ability to cope and recover, further compounded by environmental degradation. This research contributes a granular, localized flood vulnerability map for Ahoada East and West LGAs, filling a critical knowledge gap and providing actionable intelligence for targeted interventions. It reinforces theoretical frameworks by demonstrating the synergistic interplay of exposure, sensitivity, and adaptive capacity in real-world contexts. Recommendations include implementing targeted flood risk management plans, promoting flood-resilient infrastructure, strengthening socio-economic resilience, investing in environmental restoration, enhancing community engagement, improving data collection, integrating flood risk into land-use planning, and fostering inter-agency collaboration. These measures are vital for building resilient communities and mitigating the escalating impacts of flooding in the Niger Delta.

Authors

Institutions

Publication Details

Journal
Journal of Progress in Engineering and Physical Science
Published
2025-08-29
DOI
https://doi.org/10.56397/jpeps.2025.08.02
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

Geospatial Analysis of Flood Vulnerability Using GIS-Based Multi-Criteria Decision—Analysis for Ahoada East and West Local Government Areas of Rivers State, Nigeria

Frank Bikume Mokie Sam
Journal of Progress in Engineering and Physical Science
Flood Risk Assessment and Management
article

Geospatial Analysis of Flood Vulnerability Using GIS-Based Multi-Criteria Decision—Analysis for Ahoada East and West Local Government Areas of Rivers State, Nigeria

Frank Bikume Mokie Sam
article en

Abstract

Flooding poses a persistent and escalating threat to communities in the Niger Delta, particularly in Ahoada East and Ahoada West, and this study employs a Multi-Criteria Decision Analysis (MCDA) approach to assess the risks and impacts. The primary aim was to identify, map, and assess the spatial distribution of flood-prone areas and the varying degrees of vulnerability, thereby informing effective disaster risk management. Employing a quantitative research design, the study integrated diverse physical (e.g., elevation, slope, proximity to rivers), environmental (e.g., land use/land cover, drainage density), and socio-economic indicators (e.g., population density, housing quality, access to services). The Analytical Hierarchy Process (AHP) was utilized to determine indicator weights, followed by Weighted Linear Combination (WLC) to generate a composite flood vulnerability map. The findings reveal a heterogeneous spatial distribution of vulnerability, with areas along major river channels and those characterized by low-lying topography exhibiting the highest susceptibility. Crucially, socio-economic sensitivities, such as high population density and informal housing, significantly amplify overall vulnerability, transforming moderately exposed areas into high-risk zones. The study implicitly highlights a pervasive low adaptive capacity, underscoring the communities’ limited ability to cope and recover, further compounded by environmental degradation. This research contributes a granular, localized flood vulnerability map for Ahoada East and West LGAs, filling a critical knowledge gap and providing actionable intelligence for targeted interventions. It reinforces theoretical frameworks by demonstrating the synergistic interplay of exposure, sensitivity, and adaptive capacity in real-world contexts. Recommendations include implementing targeted flood risk management plans, promoting flood-resilient infrastructure, strengthening socio-economic resilience, investing in environmental restoration, enhancing community engagement, improving data collection, integrating flood risk into land-use planning, and fostering inter-agency collaboration. These measures are vital for building resilient communities and mitigating the escalating impacts of flooding in the Niger Delta.

Journal of Progress in Engineering and Physical ScienceVol. 4(4)
Rivers State University (NG)
Openalex Percentile: Top 77%
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.