Publication:
Ranking Sub-Watersheds for Flood Hazard Mapping:A Multi-Criteria Decision-Making Approach

dc.contributor.author Nguyet Minh Nguyen, Reza Bahramloo, Jalal Sadeghian, Mehdi Sepehri, Hadi Nazaripouya, Vuong Nguyen Dinh, Afshin Ghahramani, Ali Talebi, Ismail Elkhrachy, Chaitanya B. Pande, Sarita Gajbhiye Meshram.
dc.date.accessioned 2023-12-18T09:36:18Z
dc.date.available 2023-12-18T09:36:18Z
dc.date.issued 2023
dc.description.abstract "The aim of this paper is to assess the extent to which the Sad-Kalan watershed in Iran participates in floods and rank the Sad-Kalan sub-watersheds in terms of flooding potential by utilizing multi-criteria decision-making approaches. We employed the entropy of a drainage network, stream power index (SPI), slope, topographic control index (TCI), and compactness coefficient (Cc) in this investigation. After forming a decision matrix with 25 possibilities (sub-watersheds) and 5 evaluation indices, we used four MCDM approaches, including the analytic hierarchy process (AHP), best–worst method (BWM), interval rough numbers AHP (IRNAHP), picture fuzzy with AHP (PF-AHP), and picture fuzzy with linear assignment model (PF-LAM, hereafter PICALAM) algorithms, to rank the sub-watersheds. The study results demonstrated that PICALAM exhibited superior performance compared to the other methods due to its consideration of both local and global weights for each criterion. Additionally, among the methods used (AHP, BWM, and IRNAHP) that showed similar performances in ranking the sub-watersheds, the BWM method proved to be more time-efficient in the ranking process."
dc.identifier.doi https://doi.org/10.3390/w15112128
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/11081
dc.language.iso en_US
dc.relation.ispartof Water
dc.relation.issn 2073-4441
dc.subject flooding
dc.subject Sad-Kalan watershed
dc.subject AHP
dc.subject BWM
dc.subject IRNAHP
dc.subject PICALAM
dc.title Ranking Sub-Watersheds for Flood Hazard Mapping:A Multi-Criteria Decision-Making Approach
dc.type Resource Types::text::journal::journal article
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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