EconPapers    
Economics at your fingertips  
 

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

Ali Nasiri Khiavi (), Seyed Hamidreza Sadeghi () and Mehdi Vafakhah ()
Additional contact information
Ali Nasiri Khiavi: Tarbiat Modares University
Seyed Hamidreza Sadeghi: Tarbiat Modares University
Mehdi Vafakhah: Tarbiat Modares University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 12, No 1, 4453 pages

Abstract: 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.

Keywords: Condorcet algorithm; Flood management; Integrated watershed management; Optimal decision making; Watershed stakeholder (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-024-03873-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:38:y:2024:i:12:d:10.1007_s11269-024-03873-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-024-03873-1

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:waterr:v:38:y:2024:i:12:d:10.1007_s11269-024-03873-1