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

Article

Nguyen, Nguyet-Minh, Bahramloo, Reza, Sadeghian, Jalal, Sepehri, Mehdi, Nazaripouya, Hadi, Dinh, Vuong Nguyen, Ghahramani, Afshin, Talebi, Ali, ElKhrachy, Ismail, Pande, Chaitanya B. and Meshram, Sarita Gajbhiye. 2023. "Ranking Sub-Watersheds for Flood Hazard Mapping: A Multi-Criteria Decision-Making Approach." Water. 15 (11). https://doi.org/10.3390/w15112128
Article Title

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

Article CategoryArticle
AuthorsNguyen, Nguyet-Minh, Bahramloo, Reza, Sadeghian, Jalal, Sepehri, Mehdi, Nazaripouya, Hadi, Dinh, Vuong Nguyen, Ghahramani, Afshin, Talebi, Ali, ElKhrachy, Ismail, Pande, Chaitanya B. and Meshram, Sarita Gajbhiye
Journal TitleWater
Journal Citation15 (11)
Article Number2128
Number of Pages19
Year2023
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2073-4441
Digital Object Identifier (DOI)https://doi.org/10.3390/w15112128
Web Address (URL)https://www.mdpi.com/2073-4441/15/11/2128
AbstractThe 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.
Keywordsflooding; Sad-Kalan watershed; AHP; BWM; IRNAHP; PICALAM
Byline AffiliationsVan Lang University, Viet Nam
Agricultural Research, Education and Extension Organization, Iran
Bu-Ali Sina University, Iran
Yazd University, Iran
Southern Institute of Water Resources Research, Vietnam
Institute for Life Sciences and the Environment
Najran University, Saudi Arabia
Al-Ayen University, Iraq
Indian Institute of Tropical Meteorology, India
Water Resources and Applied Mathematics Research Lab, India
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