The present study has been undertaken for flood mapping integrating flood conditioning parameters through Analytical Hierarchal Process (AHP) utilizing Digital Elevation Models (DEMs) obtained by (Shuttle Radar Topography Mission) SRTM in a GeographicInformation System (GIS) and Remote Sensing (RS) environment. The flood conditioning parameters such as elevation, slope, drainage density, flow accumulation, land-use land cover, annual rainfall, and stream order are selected for creating the thematicmap using Digital Elevation Models (DEMs) obtained by (Shuttle Radar Topography Mission) SRTM and predicted area wise severity of flood hazard. The study revealed that around 13.43% of the study area and the cities like Kailashahar, Kumarghat, Pencharthal, and Kanchanpur having very little elevation, high drainage density and huge built-up were profoundly inclined to floods. However, the hilly regions or top-down portions (i.e., sources of the river) of the study area were spotted to be less prone to floods. This study will help to policy makers to recognize the hotspots of flood affected area to avoid any undesirable situation during monsoon season.
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