dc.description.abstract |
Extreme flooding is becoming a more serious hazard to the world’s infrastructure, especially in high-risk locations, and is linked to
global warming and human activity. This research employs an analytical hierarchy process (AHP) model and geographic
information system (GIS) analysis to delineate flood risk zones. An eight-factor multiparametric method to flood risk
susceptibility mapping includes precipitation, distance to river, the slope, elevation, land use/cover, topographic wetness index,
type of soil, and curvature. An urban flood risk index (UFRI) is established based on vulnerability mapping, revealing that
approximately 33% of Haripur District, Khyber Pakhtunkhwa, Pakistan, is prone to floods. Additionally, land use cover
analysis indicates that 23% of the crop area in Haripur District is at risk from flood disasters. Recognizing the potential for
costly damage to infrastructure, flood hazard mapping serves as a valuable tool to prioritize risk areas for urban and
agricultural development. The outcomes of this study are anticipated to significantly contribute to predisaster flood control
management in the studied area. |
en_US |