Abstract
Flood is one of the most destructive natural hazards associated with substantial damage in various world regions. In this study, Iran’s Kalan basin was divided into ten sub-watersheds. Then, 13 flood-related morphometric criteria, i.e., drainage density (Dd), bifurcation ratio (Rb), frequency of streams (Fs), slope (S), time of concentration (Tc), form factor (Rf), shape factor (Bs), Gravelius factor (Rc), elongation ratio (Re), roughness factor (RR), mean elevation (H), and drainage density of mainstream (D), were derived for each sub-watershed. Afterward, the picture fuzzy-analytic hierarchy process (PF-AHP) and picture fuzzy-linear assignment model (PF-LAM) were combined to assign weights to selected morphometric criteria and rank the sub-watersheds based on the level of flood susceptibility. The results showed that Ag and Aj sub-watersheds were the most susceptible sub-watersheds to flooding. In contrast, Ac and Ai sub-watersheds had the lowest susceptibility to flooding. Prioritization and ranking of sub-watersheds from the perspective of flood susceptibility can be a powerful tool in terms of flood prevention and in providing the most effective mitigation measures.
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Data availability
The data that support the findings of this study are available from the author (Quoc Bao Pham, phambaoquoc@tdmu.edu.vn), upon reasonable request.
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Ilderomi, A.R., Vojtek, M., Vojteková, J. et al. Flood prioritization integrating picture fuzzy-analytic hierarchy and fuzzy-linear assignment model. Arab J Geosci 15, 1185 (2022). https://doi.org/10.1007/s12517-022-10404-y
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DOI: https://doi.org/10.1007/s12517-022-10404-y