Optimizing the dam site selection problem considering sustainability indicators and uncertainty: An integrated decision-making approach

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dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authoridZandieh, Mostafa/0000-0003-1209-9514
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.authorwosidZandieh, Mostafa/A-9651-2019
dc.contributor.authorEkhtiari, Mostafa
dc.contributor.authorZandieh, Mostafa
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2024-05-19T14:40:38Z
dc.date.available2024-05-19T14:40:38Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractChanges of climate, population growth, extended droughts, water scarcity, and sustainability considerations are amongst the concerns that stress more than before the significance of water resources management (WRM). One of the approaches that may assist decision-makers (DMs) in handling water resources is the proper site selection for dam construction. The dam site selection decision is a huge long-term investment and due to multiple decision-making factors, stakeholders or DMs, non-deterministic information in the decision-making process, and ripple effect on many other elements of the economy, meticulous analysis is needed. In this study, dam site selection problem (DSSP) is modeled in the form of binary programming under certainty, uncertainty, and hybrid circumstances. Hence, nadir compromise programming (NCP) model is executed in order to tackle the problem with crisp data. Further, a novel model based on NCP and stochastic programming is suggested to treat the uncertainty. The integration of the proposed models is able to address the problem with crisp and random data. The evaluation criteria are categorized based on sustainability (social, economic, and environmental) and technical indicators for dam site selection. To obtain the criteria weight, an interval group decision-making trial and evaluation laboratory (IGDEMATEL) approach is also applied where experts are able to state their opinions on linguistic terms and interval numbers. A real case study in Iran is then investigated in order to appraise the applicability of the developed methodology. A simulation method is further proposed to assess the obtained results and validate the suggested model's performance. Finally, the IGDEMATEL results are employed to survey the relationships between cause-and-effect criteria. The results obtained from the proposed and simulation models are similar in 83% of the cases, and the remaining difference of 17% is because of the uncertainty governing the problem, as well as the lack of sufficient data for precise decision-making.en_US
dc.description.sponsorshipIran National Science Foundation (INSF)en_US
dc.description.sponsorshipThis study is the result of a research project funded by the Iran National Science Foundation (INSF) in the Post-doctoral course of the first author. The authors would like to show gratitude to the INSF and all those participating in the project execution. Furthermore, the authors would like to express their heartfelt gratitude to the anonymous reviewers for their valuable input and constructive recommendations.en_US
dc.identifier.doi10.1016/j.jclepro.2023.139240
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.scopus2-s2.0-85174448546en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.jclepro.2023.139240
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4992
dc.identifier.volume428en_US
dc.identifier.wosWOS:001108562100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofJournal of Cleaner Productionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectDam Site Selectionen_US
dc.subjectWater Resources Managementen_US
dc.subjectSustainability Indicatorsen_US
dc.subjectMulti-Objective Stochastic Programmingen_US
dc.subjectInterval Group Decision-Making Trial And Eval-en_US
dc.subjectUation Laboratoryen_US
dc.titleOptimizing the dam site selection problem considering sustainability indicators and uncertainty: An integrated decision-making approachen_US
dc.typeArticleen_US

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