application of gis and mcda in flood susceptibility modeling in jigawa state, nigeria

Flood disaster is considered as one of the devastating and destructive in the world. due to its high concern, predicting areas with varying susceptibility is crucial. this study aims at identifying and mapping areas and extent of varying flood susceptible areas in jigawa state. multi criteria decision analytical hierarchy process (ahp) and geographic information science (gis) were used. distance to river, elevation, flow accumulation, lineament density, slope, geology, soil and land use were used as explanatory parameters to develop the model.  the raster data parameters were analyzed using arcgis 10.1 and ahp was calculated. the model ranked distance to river high followed by elevation, flow-accumulation, lineament, land use and land cover, slope, geology, soil. area covered by very high and high susceptibility was 27.68% and 29.20% respectively. the use of analytical hierarchy process, a multi criteria process has modeled the susceptibility to flood in jigawa state accurately. among the 23 local government areas in the study area, 12 fell within very high and high susceptibility areas covering 56.88%. the study recommends adopting early warning system strategies to prevent the future flood disaster. flood disaster is considered as one of the devastating and destructive in the world. due to its high concern, predicting areas with varying susceptibility is crucial. this study aims at identifying and mapping areas and extent of varying flood susceptible areas in jigawa state. multi criteria decision analytical hierarchy process (ahp) and geographic information science (gis) were used. distance to river, elevation, flow accumulation, lineament density, slope, geology, soil and land use were used as explanatory parameters to develop the model.  the raster data parameters were analyzed using arcgis 10.1 and ahp was calculated. the model ranked distance to river high followed by elevation, flow-accumulation, lineament, land use and land cover, slope, geology, soil. area covered by very high and high susceptibility was 27.68% and 29.20% respectively. the use of analytical hierarchy process, a multi criteria process has modeled the susceptibility to flood in jigawa state accurately. among the 23 local government areas in the study area, 12 fell within very high and high susceptibility areas covering 56.88%. the study recommends adopting early warning system strategies to prevent the future flood disaster.