Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions

Flood risk assessment is an important tool for urban planning, land development, and hydrological analysis. The flood risks are very high in arid countries due to the nature of rainfall resulting from thunderstorms cover, which comprises mostly dry soil. Several methods have been used assess risk, depending on various factors that affect likelihood occurrence. However, selection these weight assigned them remain rather arbitrary. This study assesses occurrence regions based soil type, precipitation, elevation, flow accumulation. Thematic maps aforementioned area were prepared using GIS. Fuzzy Analytic Hierarchy Process (F-AHP) was calculate occurrence, use exposure impact. Using map (i.e., probability) Fuzzy-AHP map, assessed. method applied Qatar as a case study. Results compared with those produced by fuzzy logic. To explore pairwise importance F-AHP, equal analysis performed. shows majority urbanized areas within high-risk zone, some smaller parts flood-risk area. country low-risk zone. Some areas, especially depressions, located intermediate-risk category. Comparison logic F-AHP showed both similarities differences zones. reveals probably more accurate than other it accounts higher variability.