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A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India

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dc.citedby28
dc.contributor.authorRane N.L.en_US
dc.contributor.authorAchari A.en_US
dc.contributor.authorChoudhary S.P.en_US
dc.contributor.authorMallick S.K.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorSrivastava A.en_US
dc.contributor.authorMoharir K.N.en_US
dc.contributor.authorid57219453239en_US
dc.contributor.authorid58165906700en_US
dc.contributor.authorid58604650900en_US
dc.contributor.authorid57219839603en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid57221943932en_US
dc.contributor.authorid57193546415en_US
dc.date.accessioned2024-10-14T03:17:29Z
dc.date.available2024-10-14T03:17:29Z
dc.date.issued2023
dc.description.abstractThe Ulhas River Basin, India has been severely impacted by climate change, frequent rainfall, and an ineffective drainage system in recent years, resulting in flooding. To alleviate flood and water scarcity issues, constructing dams in suitable locations is a crucial water management strategy. In this study, potentiality of sites for dam construction have been evaluated by integrating spatial analytical Multi Influencing Factor (MIF), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Twelve climatic, geophysical, and accessibility factors were considered to delineate the dam site suitability. The dam site selection suitability map produced using the weighted overlay to delineate the suitability zones as 5 distinct classes �very high (15.36%),� �high (27.90%),� �moderate (25.74%),� �low (22.05%)� and �very low (8.95%). Total five suitable locations for dams have been recommended based on MIF and TOPSIS evaluation. Based on their maximum storage capacity, width, height, and cost, Dam E was given the highest ranking followed by Dam - C, A, B, and D, respectively. The majority of the chosen locations for dam construction were situated in the elevated and gently sloping eastern portion of the Ulhas River Basin. The ROC curve's AUC value was computed to be 0.806, indicating that the model's performance was �good� and suitability map exhibited a strong correlation with the available dam data. This study provides decision-makers with an inexpensive and useful tool to eliminate less suitable sites and concentrate on those with fewer limitations for constructing dams, resulting in valuable insights. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo138890
dc.identifier.doi10.1016/j.jclepro.2023.138890
dc.identifier.scopus2-s2.0-85171626160
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85171626160&doi=10.1016%2fj.jclepro.2023.138890&partnerID=40&md5=a70181d0ee33623188be7310083046d4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33944
dc.identifier.volume423
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Cleaner Production
dc.subjectDam site selection
dc.subjectGeographic information system (GIS)
dc.subjectMIF
dc.subjectMulti-criteria decision making (MCDM)
dc.subjectSensitivity analysis
dc.subjectTOPSIS
dc.subjectClimate change
dc.subjectDams
dc.subjectDecision making
dc.subjectDigital storage
dc.subjectFloods
dc.subjectGeographic information systems
dc.subjectLocation
dc.subjectRivers
dc.subjectSite selection
dc.subjectWater management
dc.subjectWatersheds
dc.subjectDam site selection
dc.subjectDam-site
dc.subjectGeographic information system
dc.subjectIdeal solutions
dc.subjectMulti criteria decision-making
dc.subjectMulti influencing factor
dc.subjectMulti-criteria decision making
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectTechnique for order of preference by similarity to ideal solution
dc.subjectSensitivity analysis
dc.titleA decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, Indiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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