Multicriterion decision making in groundwater planning

The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM)...

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Autores principales:	Shishir Gaur, K. Srinivasa Raju, D. Nagesh Kumar, Mayank Bajpai
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	davies–bouldin index groundwater planning k-means nsga-ii topsis vikor Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/f683a0f02b15455a8c48603f477b668b
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id	oai:doaj.org-article:f683a0f02b15455a8c48603f477b668b
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spelling	oai:doaj.org-article:f683a0f02b15455a8c48603f477b668b2021-11-05T17:46:56ZMulticriterion decision making in groundwater planning1464-71411465-173410.2166/hydro.2021.122https://doaj.org/article/f683a0f02b15455a8c48603f477b668b2021-05-01T00:00:00Zhttp://jh.iwaponline.com/content/23/3/627https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were coupled and applied to study a part of the Dore river catchment, France. The maximization of discharge, the minimization of pumping cost and the minimization of piping cost are the three objectives considered. 2105 non-dominated groundwater planning strategies were generated. K-Means cluster analysis was employed to classify the strategies, and clustering was performed for 3 to 25 clusters. A cluster validation technique, namely Davies–Bouldin (DB) index, was employed to find the optimal number of clusters of groundwater strategies which were found to be 20. Multicriterion Decision-Making (MCDM) techniques, namely VIKOR and TOPSIS, were developed to rank the 20 representative strategies. Both these decision-making techniques preferred representative strategy A5 (piping cost, pumping cost and discharge respectively of 880,000 Euro, 679,000 Euro and 1,263.1 m3/s). The sensitivity analysis of parameter v in VIKOR suggested that there were changes in ranking pattern for various values of v. However, the first position remained unchanged. HIGHLIGHTS The simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were linked and applied for groundwater planning.; The Davies–Bouldin (DB) index was employed to find the optimal number of clusters of groundwater strategies.; Multicriterion Decision-Making (MCDM) techniques, VIKOR and TOPSIS were implemented to rank the 20 representative strategies.;Shishir GaurK. Srinivasa RajuD. Nagesh KumarMayank BajpaiIWA Publishingarticledavies–bouldin indexgroundwater planningk-meansnsga-iitopsisvikorInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 3, Pp 627-638 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	davies–bouldin index groundwater planning k-means nsga-ii topsis vikor Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	davies–bouldin index groundwater planning k-means nsga-ii topsis vikor Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Shishir Gaur K. Srinivasa Raju D. Nagesh Kumar Mayank Bajpai Multicriterion decision making in groundwater planning
description	The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were coupled and applied to study a part of the Dore river catchment, France. The maximization of discharge, the minimization of pumping cost and the minimization of piping cost are the three objectives considered. 2105 non-dominated groundwater planning strategies were generated. K-Means cluster analysis was employed to classify the strategies, and clustering was performed for 3 to 25 clusters. A cluster validation technique, namely Davies–Bouldin (DB) index, was employed to find the optimal number of clusters of groundwater strategies which were found to be 20. Multicriterion Decision-Making (MCDM) techniques, namely VIKOR and TOPSIS, were developed to rank the 20 representative strategies. Both these decision-making techniques preferred representative strategy A5 (piping cost, pumping cost and discharge respectively of 880,000 Euro, 679,000 Euro and 1,263.1 m3/s). The sensitivity analysis of parameter v in VIKOR suggested that there were changes in ranking pattern for various values of v. However, the first position remained unchanged. HIGHLIGHTS The simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were linked and applied for groundwater planning.; The Davies–Bouldin (DB) index was employed to find the optimal number of clusters of groundwater strategies.; Multicriterion Decision-Making (MCDM) techniques, VIKOR and TOPSIS were implemented to rank the 20 representative strategies.;
format	article
author	Shishir Gaur K. Srinivasa Raju D. Nagesh Kumar Mayank Bajpai
author_facet	Shishir Gaur K. Srinivasa Raju D. Nagesh Kumar Mayank Bajpai
author_sort	Shishir Gaur
title	Multicriterion decision making in groundwater planning
title_short	Multicriterion decision making in groundwater planning
title_full	Multicriterion decision making in groundwater planning
title_fullStr	Multicriterion decision making in groundwater planning
title_full_unstemmed	Multicriterion decision making in groundwater planning
title_sort	multicriterion decision making in groundwater planning
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/f683a0f02b15455a8c48603f477b668b
work_keys_str_mv	AT shishirgaur multicriteriondecisionmakingingroundwaterplanning AT ksrinivasaraju multicriteriondecisionmakingingroundwaterplanning AT dnageshkumar multicriteriondecisionmakingingroundwaterplanning AT mayankbajpai multicriteriondecisionmakingingroundwaterplanning
_version_	1718444140040028160

Multicriterion decision making in groundwater planning

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