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ABSTRACT
Maps of flood susceptibility are essential for illustrating flood risk areas and setting up moderation draws. This study investigated a district in Ugbowo, Benin City that is prone to flooding using a multi-criteria decision support system. The geographic information system (GIS) and the fuzzy analytical hierarchy process (FAHP) were combined. Six basic floodcausing models—slope, river network density, distance from river, flow accumulation, elevation, and curve number—were carefully selected. An AHP pair-wise comparison matrix (PCM), provided an overall assessment of each model based on its commitment to flood vulnerability and weighting. Slope (0.4489) was the most significant flood-causing criterion, whereas height and curve number (0) were the least significant ones. A 0.2 km2 (0.8%) area showed extremely low flood susceptibility, while an area of 1.1 km2 (4.3%) was concentrated in very high flood susceptibility zones. Planning for flood zones was aided by the GIS-AHP technique when there were more borders.
