Abstract
assess flood hazard. It has been used to carry out Multi-Criteria Analysis (MCA) of various geomorphic factors by assigning weight based on the presumed impact of each factors on flooding. This study considered six factors which include; Slope, curvature, landcover, elevation, distance from river and soil using Rafinsenyi river in Chanchaga Local Government area, Minna-Nigeria, as study area. Review of literatures showed that methods of assigning weight are hypothetical and inconsistent, this research thus take input from researchers in field of hydraulics, hydrology and disaster management. The weight with 0.029 as the least consistency ratio was used. Data used include; DGPS data, Satellite Images, Digital Soil Data. Landcover Maps, Digital Elevation Models (DEM), Soil Maps and Profile Curvature maps were generated. Weighted overlay operation was carried out in ArcGIS to produce a Flood Risk Map. Livisol (Loam) soil reveals why farmers and traders indiscriminately settle along floodplain. 6 of the 20 hectares of study area lies between 216 and 220 metres above mean sea level, putting residential building at high risk of flooding.
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