Document Type : Research Article
Authors
1
Master's student in watershed sciences and engineering, Department of Range and Watershed Management , Ferdowsi University of Mashhad, Mashhad, Iran
2
Associate Professor, Department of Range and Watershed Management , Ferdowsi University of Mashhad, Mashhad, Iran
3
Department of Geography Education, Farhangian University, Tehran, Iran
10.22067/geoeh.2024.88777.1498
Abstract
Flood is one of the most common hazards that affects both people's lives and property. Recent climate changes have increased the frequency and intensity of floods. In such a situation, it is very important to identify potential flood risk areas to reduce flood damage. Therefore, this study seeks to identify flood vulnerable areas in the sub-basins of Kashf Rood watershed using morphometric indices and multi-criteria decision methods. For this purpose, 16 morphometric indices of basin area, basin perimeter, Stream length, Basin length, Form factor, Bifurcation ratio, drainage density, Circularity ratio, Elongation ratio, texture ratio, stream frequency, shape index, Constant channel maintenance, Basin relief, Relief ratio and Ruggedness number were extracted from the DEM of the region. The capacity of different sub-basins was determined using 5 multi-criteria decision making methods including AHP, ANP, VIKOR, TOPSIS and ELECTRE and in five classes of very high floods, They were classified as high, medium, low and very low. The results of different multi-criteria decision-making methods were evaluated using Spearman's correlation and checking the percentage of changes. Finally, it was found that the ANP method is more accurate in preparing the flood map of the basin. According to the results of this method, 24.3% of the basin is in the very high flood class and 25.7% is in the high class, and in total more than 50% of the basin is in the high and very high flood class. According to the results of this method, 24.3% of the basin is in the very high flood class and 25.7% is in the high class, and in total more than 50% of the basin is in the high and very high flood class.
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