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Comparative Prioritization of Sub-Watersheds in Flood Generation Using Co-Management Best-Worst Method and Game Theory Algorithm

Author

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  • Ali Nasiri Khiavi

    (Tarbiat Modares University)

  • Seyed Hamidreza Sadeghi

    (Tarbiat Modares University)

  • Mehdi Vafakhah

    (Tarbiat Modares University)

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.

Suggested Citation

  • Ali Nasiri Khiavi & Seyed Hamidreza Sadeghi & Mehdi Vafakhah, 2024. "Comparative Prioritization of Sub-Watersheds in Flood Generation Using Co-Management Best-Worst Method and Game Theory Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(12), pages 4431-4453, September.
  • Handle: RePEc:spr:waterr:v:38:y:2024:i:12:d:10.1007_s11269-024-03873-1
    DOI: 10.1007/s11269-024-03873-1
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    1. Álvarez, Xana & Gómez-Rúa, María & Vidal-Puga, Juan, 2019. "Risk prevention of land flood: A cooperative game theory approach," MPRA Paper 91515, University Library of Munich, Germany.
    2. Majid Sheikhmohammady & D. Marc Kilgour & Keith W. Hipel, 2010. "Modeling the Caspian Sea Negotiations," Group Decision and Negotiation, Springer, vol. 19(2), pages 149-168, March.
    3. Michael Hibbard & Susan Lurie, 2006. "Some community socio-economic benefits of watershed councils: A case study from Oregon," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 49(6), pages 891-908.
    4. Yan Wang & Hubert J. Montas & Kaye L. Brubaker & Paul T. Leisnham & Adel Shirmohammadi & Victoria Chanse & Amanda K. Rockler, 2017. "A Diagnostic Decision Support System for BMP Selection in Small Urban Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1649-1664, March.
    5. Najmeh Mahjouri & Mohammad Bizhani-Manzar, 2013. "Waste Load Allocation in Rivers using Fallback Bargaining," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2125-2136, May.
    6. Peter W. J. Batey & Joon Sik Kim, 2021. "Special issue on comprehensive watershed management: sustainability, technology, and policy," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 523-530, June.
    7. Daniel Seaberg & Laura Devine & Jun Zhuang, 2017. "A review of game theory applications in natural disaster management research," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1461-1483, December.
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