Optimization Models in Water Resources Management and Security: A Critical Review

This paper reviews optimization models in the context of water resources management and security. The article is instituted on four fundamental pillars: (a) an understanding of the quantum of key optimization techniques adopted by the researchers over the past few decades in managing water resources...

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Main Authors: Gyanesh Kumar Sinha, Anuj Kumar Purwar
Format: Article
Language:English
Published: Ram Arti Publishers 2024-02-01
Series:International Journal of Mathematical, Engineering and Management Sciences
Subjects:
Online Access:https://www.ijmems.in/cms/storage/app/public/uploads/volumes/7-IJMEMS-23-0200-9-1-129-146-2024.pdf
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author Gyanesh Kumar Sinha
Anuj Kumar Purwar
author_facet Gyanesh Kumar Sinha
Anuj Kumar Purwar
author_sort Gyanesh Kumar Sinha
collection DOAJ
description This paper reviews optimization models in the context of water resources management and security. The article is instituted on four fundamental pillars: (a) an understanding of the quantum of key optimization techniques adopted by the researchers over the past few decades in managing water resources, (b) an enumeration of these techniques, both in terms of their brief mathematical structures and with reference to their representative applications in managing water resources so as to conform to one of the four perspectives of water security, viz. welfare, equity, sustainability, and risk, (c) an evaluation of major challenges associated with these conventional equation-based optimization techniques, including the perceptive account of the distinction between the gradient-based local optimization and non-gradient global optimization, and finally, (d) an assessment of context-sensitive appropriateness of simulation-based bottom-up modeling schemes, with special reference to evolutionary algorithms. The review emphasizes that the ontology of conventional equation-based models lies in an aggregate manifestation of social behavior and, as a result, it fails to capture individuals’ behaviors juxtaposed with ecological and hydrological systems while modeling complex water resources. On the contrary, the expediency of the domain of operational research in responding to societal problems ensuing from a scarce natural resource like water lies in bottom-up optimization schemes, which are more obliging in the sense that they can incarcerate such social explanations in the modeling frame based on local values.
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spelling doaj.art-fe6c28591abb4fdc9d650d059e6e85f22024-01-14T17:09:26ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492024-02-0191129146https://doi.org/10.33889/IJMEMS.2024.9.1.007Optimization Models in Water Resources Management and Security: A Critical ReviewGyanesh Kumar Sinha0Anuj Kumar Purwar1School of Management, Bennett University, Greater Noida, India.School of Engineering and Technology, Indira Gandhi National Open University, New Delhi, India.This paper reviews optimization models in the context of water resources management and security. The article is instituted on four fundamental pillars: (a) an understanding of the quantum of key optimization techniques adopted by the researchers over the past few decades in managing water resources, (b) an enumeration of these techniques, both in terms of their brief mathematical structures and with reference to their representative applications in managing water resources so as to conform to one of the four perspectives of water security, viz. welfare, equity, sustainability, and risk, (c) an evaluation of major challenges associated with these conventional equation-based optimization techniques, including the perceptive account of the distinction between the gradient-based local optimization and non-gradient global optimization, and finally, (d) an assessment of context-sensitive appropriateness of simulation-based bottom-up modeling schemes, with special reference to evolutionary algorithms. The review emphasizes that the ontology of conventional equation-based models lies in an aggregate manifestation of social behavior and, as a result, it fails to capture individuals’ behaviors juxtaposed with ecological and hydrological systems while modeling complex water resources. On the contrary, the expediency of the domain of operational research in responding to societal problems ensuing from a scarce natural resource like water lies in bottom-up optimization schemes, which are more obliging in the sense that they can incarcerate such social explanations in the modeling frame based on local values.https://www.ijmems.in/cms/storage/app/public/uploads/volumes/7-IJMEMS-23-0200-9-1-129-146-2024.pdfwater resources optimizationwater resources managementwater securitysimulation-optimization modelsocial explanationobr-eagent-based model
spellingShingle Gyanesh Kumar Sinha
Anuj Kumar Purwar
Optimization Models in Water Resources Management and Security: A Critical Review
International Journal of Mathematical, Engineering and Management Sciences
water resources optimization
water resources management
water security
simulation-optimization model
social explanation
obr-e
agent-based model
title Optimization Models in Water Resources Management and Security: A Critical Review
title_full Optimization Models in Water Resources Management and Security: A Critical Review
title_fullStr Optimization Models in Water Resources Management and Security: A Critical Review
title_full_unstemmed Optimization Models in Water Resources Management and Security: A Critical Review
title_short Optimization Models in Water Resources Management and Security: A Critical Review
title_sort optimization models in water resources management and security a critical review
topic water resources optimization
water resources management
water security
simulation-optimization model
social explanation
obr-e
agent-based model
url https://www.ijmems.in/cms/storage/app/public/uploads/volumes/7-IJMEMS-23-0200-9-1-129-146-2024.pdf
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