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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Main Authors: Rane N.L., Achari A., Choudhary S.P., Mallick S.K., Pande C.B., Srivastava A., Moharir K.N.
Other Authors: 57219453239
Format: Article
Published: Elsevier Ltd 2024
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MIF
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spelling 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
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic 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
spellingShingle 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
description 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
author2 57219453239
author_facet 57219453239
Rane N.L.
Achari A.
Choudhary S.P.
Mallick S.K.
Pande C.B.
Srivastava A.
Moharir K.N.
format 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
_version_ 1814060050046517248
score 13.209306