A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India
The 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 th...
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my.uniten.dspace-339442024-10-14T11:17:29Z A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India Rane N.L. Achari A. Choudhary S.P. Mallick S.K. Pande C.B. Srivastava A. Moharir K.N. 57219453239 58165906700 58604650900 57219839603 57193547008 57221943932 57193546415 Dam site selection Geographic information system (GIS) MIF Multi-criteria decision making (MCDM) Sensitivity analysis TOPSIS Climate change Dams Decision making Digital storage Floods Geographic information systems Location Rivers Site selection Water management Watersheds Dam site selection Dam-site Geographic information system Ideal solutions Multi criteria decision-making Multi influencing factor Multi-criteria decision making Multicriteria decision-making Multicriterion decision makings Technique for order of preference by similarity to ideal solution Sensitivity analysis The 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 Ltd Final 2024-10-14T03:17:29Z 2024-10-14T03:17:29Z 2023 Article 10.1016/j.jclepro.2023.138890 2-s2.0-85171626160 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171626160&doi=10.1016%2fj.jclepro.2023.138890&partnerID=40&md5=a70181d0ee33623188be7310083046d4 https://irepository.uniten.edu.my/handle/123456789/33944 423 138890 Elsevier Ltd Scopus |
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Dam site selection Geographic information system (GIS) MIF Multi-criteria decision making (MCDM) Sensitivity analysis TOPSIS Climate change Dams Decision making Digital storage Floods Geographic information systems Location Rivers Site selection Water management Watersheds Dam site selection Dam-site Geographic information system Ideal solutions Multi criteria decision-making Multi influencing factor Multi-criteria decision making Multicriteria decision-making Multicriterion decision makings Technique for order of preference by similarity to ideal solution Sensitivity analysis |
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Dam site selection Geographic information system (GIS) MIF Multi-criteria decision making (MCDM) Sensitivity analysis TOPSIS Climate change Dams Decision making Digital storage Floods Geographic information systems Location Rivers Site selection Water management Watersheds Dam site selection Dam-site Geographic information system Ideal solutions Multi criteria decision-making Multi influencing factor Multi-criteria decision making Multicriteria decision-making Multicriterion decision makings Technique for order of preference by similarity to ideal solution Sensitivity analysis Rane N.L. Achari A. Choudhary S.P. Mallick S.K. Pande C.B. Srivastava A. Moharir K.N. A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India |
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The 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 Ltd |
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57219453239 Rane N.L. Achari A. Choudhary S.P. Mallick S.K. Pande C.B. Srivastava A. Moharir K.N. |
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Article |
author |
Rane N.L. Achari A. Choudhary S.P. Mallick S.K. Pande C.B. Srivastava A. Moharir K.N. |
author_sort |
Rane N.L. |
title |
A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India |
title_short |
A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India |
title_full |
A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India |
title_fullStr |
A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India |
title_full_unstemmed |
A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India |
title_sort |
decision framework for potential dam site selection using gis, mif and topsis in ulhas river basin, india |
publisher |
Elsevier Ltd |
publishDate |
2024 |
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1814060050046517248 |
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13.209306 |