Integrating GIS and AHP for a multi-criteria flood vulnerability assessment in the Benue River Basin, Nigeria

• DOI: 10.4314/dujopas.v10i3b.12
• Publication Date: 2024-11-08T13:33:34Z
• Authors: Ayila E. Adzandeh; Isa. A. Hamid-Mosaku; Emmanuel. G, Ayodele; Dupe N. Olayinka-...; Olusegun. T. Badejo; Chukwuma. J. Okolie
• Keywords: Vulnerability; Flood risk assessment

Life and infrastructure are becoming increasingly vulnerable to flooding flood-related risks along the Benue River, particularly in Adamawa catchment, with inadequate knowledge about physical factors affecting vulnerability flood-prone zones. Controlling flood involves addressing vulnerabilities communities whilst reducing enhancing resilience. This study employed geospatial analysis Analytical Hierarchy Process (AHP) method model analyse seven factors: elevation, drainage, soil type, precipitation, bedrock, slope of surface, land use/cover. Remote sensing data was utilised create thematic map layers for factor criterion. A pairwise comparison matrix created normalised ensure uniformity. Weights were derived by averaging all row’s components calculating percentage weight. The estimated weights applied theme a weighted sum highest weight (33.66%) assigned drainage density while least (2.68%) cover. aggregation information from ArcGIS software using produced depicting following levels - low (19.89%), moderate (31.44%), high (31.80%), extremely (16.85%). Field investigation showed that majority indicated zones corresponded field-based studies. technique findings validated consistency ratio 0.0944, which discovered be within permissible range satisfactory criteria applied. coherence value 7.748 obtained signifying severe rainfall causes floods area, River its tributaries being prone occurrences. result presents platform policy formulation relevant agencies resilience area.