Treffer: A GIS-based multi-criteria decision proposed framework for flood vulnerability assessment in Edo State, Nigeria

Title:
A GIS-based multi-criteria decision proposed framework for flood vulnerability assessment in Edo State, Nigeria
Authors:
Igbokwe, E.C, W. A., Ojanikele, Fc, Ezeh, Anyadiegwu, P, C
Contributors:
Nnamdi Azikiwe University (NAU-UNIZIK), Department of Surveying and Geoinformatics, Southern Delta University Ozoro, Delta State, Nigeria, Imo State University, Owerri, Imo State, Nigeria.
Source:
International Journal of Multidisciplinary Research Updates. 10:1-003
Publisher Information:
CCSD, 2025.
Publication Year:
2025
Collection:
collection:SDE
collection:GIP-BE
Subject Terms:
Flood Vulnerability GIS Multi-Criteria Decision Analysis Flood Risk Assessment Edo State Nigeria, Flood Vulnerability, GIS, Multi-Criteria Decision Analysis, Flood Risk Assessment, Edo State, Nigeria, [SDE]Environmental Sciences
Original Identifier:
HAL: hal-05187893
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
2783-0179
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.53430/ijmru.2025.10.1.0025
DOI:
10.53430/ijmru.2025.10.1.0025
Access URL:
https://hal.science/hal-05187893
https://hal.science/hal-05187893v1/document
https://hal.science/hal-05187893v1/file/IJMRU-2025-0025.pdf
Rights:
info:eu-repo/semantics/OpenAccess
URL: http://creativecommons.org/licenses/by/
Accession Number:
edshal.hal.05187893v1
Database:
HAL

Weitere Informationen

Flooding remains a critical environmental challenge in Edo State, Nigeria, exacerbated by rapid urbanization, deforestation, and inadequate drainage systems. Addressing this issue requires a comprehensive and systematic approach that integrates spatial data and multi-criteria decision analysis (MCDA). This conceptual paper proposes a GIS-based multi-criteria decision framework for assessing flood vulnerability in Edo State. The proposed framework integrates key factors such as topography, rainfall intensity, land use/land cover, soil type, and proximity to water bodies. By combining GIS spatial analysis and MCDA techniques, this framework aims to enhance flood risk management and inform policy decisions. The study also highlights the potential applications of the proposed framework for urban planning and disaster risk reduction in flood-prone areas.