09-05-2024
Comparative Prioritization of Sub-Watersheds in Flood Generation Using Co-Management Best-Worst Method and Game Theory Algorithm
Authors:
Ali Nasiri Khiavi, Seyed Hamidreza Sadeghi, Mehdi Vafakhah
Published in:
Water Resources Management
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Issue 12/2024
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Abstract
This study used the Best-Worst Method (BWM) and the Game Theory Algorithm (GTA) to prioritize and determine critical sub-watersheds based on flood generation potential in the Sehezar and Dohezar Watersheds, Iran. The necessary information was collected through semi-structured interviews conducted with stakeholders. Based on their indigenous, technical, and political knowledge, stakeholders prioritized the sub-watersheds in flood generation potential. Then, BWM and Condorcet Game Theory algorithms were used to prioritize the sub-watersheds based on stakeholders’ voting. Finally, the sub-watersheds were classified into high, moderate, and low potential based on flood generation. Based on BWM in the Sehezar Watershed, sub-watershed 9, and in the Dohezar Watershed, sub-watershed 10, respectively, with weights of 0.253 and 0.283, had the highest flood generation potential. The prioritization pattern in the policymakers’ group was similar to that of residents, but the difference between the two groups was that policymakers prioritized sub-watershed 12. The difference between the stakeholders’ opinions of executive experts and policymakers was 33.3 and 50%, respectively. In the Dohezar Watershed, approximately 33% had a high flood generation potential. Meanwhile, in the Sehezar Watershed, 22% of the area showed a high potential for flood generation. In conclusion, based on field observation and anecdotal evidence, sub-watersheds 9 and 1 needed to be in better condition in terms of vegetation. Also, glacial floods in summer have made these two sub-watersheds based on flood generation to be the priority. Finally, the results of the BWM confirmed that this method provided better prioritization based on the consensus of stakeholders than GTA.