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:: Volume 12, Issue 4 (12-2024) ::
2024, 12(4): 97-99 Back to browse issues page
Flood potential zoning with fuzzy network analysis in Aharchai watershed
Morteza Eyvazi , Alireza Mogaddamnia * , Arash Malekian , Farkhondeh Khorashadizadeh
Professor, Department of Renewable Energies and Environment, Faculty of New Science and Technology, University of Tehran, Tehran, Iran, Email: a.mogaddamnia@ut.ac.ir
Abstract:   (545 Views)
The mountainous areas in the northwest of the country are prone to floods due to their special topography and adequate rainfall throughout the year, especially in spring. The current research was carried out to prepare a flood potential zoning map in the Ahrchai watershed. To prepare a flood potential zoning map, 9 factors affecting the occurrence of this phenomenon, which are rainfall and runoff with return periods of 2.25 and 50 years, distance from waterways, slope, curve number, drainage density, land use, geology, NDVI index, and land capability, were used. To weigh the criteria, the network analysis method was used in the Super Decisions environment. The results showed that the highest weights of the criteria related to runoff, distance from the waterway, and curve number were 0.244, 0.171, and 0.140, respectively, with a total inconsistency rate of 0.09. The weight of sub-watershed 3 with a value of 0.272 and sub-watershed 2 with a value of 0.114 respectively had the highest and lowest weight of flood potential. Also, the criteria of curve number and runoff were identified as the most sensitive factors. Finally, by integrating these layers according to their weight in the Arc GIS environment, flood potential zoning maps were obtained in a fuzzy manner with return periods of 2, 25, and 50 years. In the 2-year return period, the results showed that 6.45% of the watershed has a high to very high flood risk, and 56.57% is in a very low or stable category. With a return period of 50 years, 22.53% of the area has very high flood potential, and 52.77% of the watershed area has very low flood potential.
Article number: 6
Keywords: Aharchai watershed, fuzzy logic, flood zoning, pairwise comparisons
Full-Text [PDF 2844 kb]   (90 Downloads)    
Type of Study: Research | Subject: Special
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Eyvazi M, Mogaddamnia A, Malekian A, Khorashadizadeh F. Flood potential zoning with fuzzy network analysis in Aharchai watershed. Journal of Rainwater Catchment Systems 2024; 12 (4) : 6
URL: http://jircsa.ir/article-1-565-en.html


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Volume 12, Issue 4 (12-2024) Back to browse issues page
مجله علمی سامانه های سطوح آبگیر باران Iranian Journal of Rainwater Catchment Systems
تکمیل و ارسال فرم تعارض منافع
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