A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams

The present paper aims to develop a new Water Quality Index (WQI) based on Data Envelopment Analysis (DEA). Rather than using subjective weights of a judgmental process as inputs of the DEA model, we propose more objective variables, identified as “optimistic closeness values”, appropriately derived...

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Autores principales:	Ahmed Amin Soltani, Amar Oukil, Hamouda Boutaghane, Abdelmalek Bermad, Mohamed-Rachid Boulassel
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Optimistic closeness value Water Quality index Risk ranking Data envelopment analysis Dam Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/595e59e7e5a0467fbd82d071298768d2
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id	oai:doaj.org-article:595e59e7e5a0467fbd82d071298768d2
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spelling	oai:doaj.org-article:595e59e7e5a0467fbd82d071298768d22021-12-01T04:30:31ZA new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams1470-160X10.1016/j.ecolind.2020.106952https://doaj.org/article/595e59e7e5a0467fbd82d071298768d22021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20308918https://doaj.org/toc/1470-160XThe present paper aims to develop a new Water Quality Index (WQI) based on Data Envelopment Analysis (DEA). Rather than using subjective weights of a judgmental process as inputs of the DEA model, we propose more objective variables, identified as “optimistic closeness values”, appropriately derived from the observed values of the hydrochemical parameters.The proposed approach was employed to assess the water quality of 47 dams in Algeria, defined with a dataset of 10 hydrochemical parameters. The results of the DEA-based WQI application revealed that (i) 21.27%, 27.66%, 25.53%, 4.25% and 21.27% of the total dams are categorized as “Poor”, “Marginal”, “Medium”, “Good” and “Excellent” water quality, respectively; (ii) the best water quality is found in “Kissir” and the worst one in “Bougara”; (iii) a priority scale on the hydrochemical parameters can be set for the treatment of water using the notion of slack value.Collectively, the new methodology has proven its effectiveness not only for categorizing or ranking sites based on water quality but also as an alternative tool to be used to assist decision-makers in allocating funds and managing water resources.Ahmed Amin SoltaniAmar OukilHamouda BoutaghaneAbdelmalek BermadMohamed-Rachid BoulasselElsevierarticleOptimistic closeness valueWater Quality indexRisk rankingData envelopment analysisDamEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 106952- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Optimistic closeness value Water Quality index Risk ranking Data envelopment analysis Dam Ecology QH540-549.5
spellingShingle	Optimistic closeness value Water Quality index Risk ranking Data envelopment analysis Dam Ecology QH540-549.5 Ahmed Amin Soltani Amar Oukil Hamouda Boutaghane Abdelmalek Bermad Mohamed-Rachid Boulassel A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams
description	The present paper aims to develop a new Water Quality Index (WQI) based on Data Envelopment Analysis (DEA). Rather than using subjective weights of a judgmental process as inputs of the DEA model, we propose more objective variables, identified as “optimistic closeness values”, appropriately derived from the observed values of the hydrochemical parameters.The proposed approach was employed to assess the water quality of 47 dams in Algeria, defined with a dataset of 10 hydrochemical parameters. The results of the DEA-based WQI application revealed that (i) 21.27%, 27.66%, 25.53%, 4.25% and 21.27% of the total dams are categorized as “Poor”, “Marginal”, “Medium”, “Good” and “Excellent” water quality, respectively; (ii) the best water quality is found in “Kissir” and the worst one in “Bougara”; (iii) a priority scale on the hydrochemical parameters can be set for the treatment of water using the notion of slack value.Collectively, the new methodology has proven its effectiveness not only for categorizing or ranking sites based on water quality but also as an alternative tool to be used to assist decision-makers in allocating funds and managing water resources.
format	article
author	Ahmed Amin Soltani Amar Oukil Hamouda Boutaghane Abdelmalek Bermad Mohamed-Rachid Boulassel
author_facet	Ahmed Amin Soltani Amar Oukil Hamouda Boutaghane Abdelmalek Bermad Mohamed-Rachid Boulassel
author_sort	Ahmed Amin Soltani
title	A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams
title_short	A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams
title_full	A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams
title_fullStr	A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams
title_full_unstemmed	A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams
title_sort	new methodology for assessing water quality, based on data envelopment analysis: application to algerian dams
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/595e59e7e5a0467fbd82d071298768d2
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A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams

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