Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site

Groundwater-monitoring network is a set of boreholes (wells) that is used to monitor the water table fluctuation and to detect groundwater contamination. In this research, the maximal covering location problem (MCLP) method is employed to discretize the area, and the LINGO modeling program is used t...

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Autores principales:	Abdorreza Vaezihir, Fatemeh Safari, Mehri Tabarmayeh, Ali Asghar Khalafi
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	ahp design and optimization groundwater monitoring lingo mclp tabriz oil refinery Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/bf4ecb31fc084c96b14b718278d1ba24
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spelling	oai:doaj.org-article:bf4ecb31fc084c96b14b718278d1ba242021-11-05T17:49:00ZApplication of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site1464-71411465-173410.2166/hydro.2021.172https://doaj.org/article/bf4ecb31fc084c96b14b718278d1ba242021-07-01T00:00:00Zhttp://jh.iwaponline.com/content/23/4/813https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Groundwater-monitoring network is a set of boreholes (wells) that is used to monitor the water table fluctuation and to detect groundwater contamination. In this research, the maximal covering location problem (MCLP) method is employed to discretize the area, and the LINGO modeling program is used to optimize the number of boreholes. Tabriz oil refinery at the northwest of Iran with high pollution potential that imposes a serious threat to the beneath multilayered aquifer was chosen to evaluate the feasibility of these techniques in field scale. The location and content of storage tanks, leakage history, groundwater flow direction, contaminated well location and the facilities leakage potential are considered as the weighting factors to calculate the number and location of the optimal wells. As a result of optimization, the initial estimated number of boreholes by the MCLP model for the study area is reduced from 349 to 184. A high density of optimal boreholes is allocated to refining zone and oil storing yard, especially near tanks containing dangerous substances due to their toxicity and potential for contaminating water. A vulnerability zoning map prepared using the analytical hierarchy process method indicates a suitable conformation between locations of the boreholes and the vulnerable areas. HIGHLIGHTS A multicriteria method is introduced to design and optimize the aquifer-monitoring network.; A reliable optimized monitoring network produces by the combination of MCLP and LINGO methods.; The initial number of 349 monitoring wells is optimized to 184 boreholes in an oil refinery.; A vulnerability zoning map prepared by the AHP method shows a suitable conformity with the density of boreholes.;Abdorreza VaezihirFatemeh SafariMehri TabarmayehAli Asghar KhalafiIWA Publishingarticleahpdesign and optimizationgroundwater monitoringlingomclptabriz oil refineryInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 4, Pp 813-830 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ahp design and optimization groundwater monitoring lingo mclp tabriz oil refinery Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	ahp design and optimization groundwater monitoring lingo mclp tabriz oil refinery Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Abdorreza Vaezihir Fatemeh Safari Mehri Tabarmayeh Ali Asghar Khalafi Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
description	Groundwater-monitoring network is a set of boreholes (wells) that is used to monitor the water table fluctuation and to detect groundwater contamination. In this research, the maximal covering location problem (MCLP) method is employed to discretize the area, and the LINGO modeling program is used to optimize the number of boreholes. Tabriz oil refinery at the northwest of Iran with high pollution potential that imposes a serious threat to the beneath multilayered aquifer was chosen to evaluate the feasibility of these techniques in field scale. The location and content of storage tanks, leakage history, groundwater flow direction, contaminated well location and the facilities leakage potential are considered as the weighting factors to calculate the number and location of the optimal wells. As a result of optimization, the initial estimated number of boreholes by the MCLP model for the study area is reduced from 349 to 184. A high density of optimal boreholes is allocated to refining zone and oil storing yard, especially near tanks containing dangerous substances due to their toxicity and potential for contaminating water. A vulnerability zoning map prepared using the analytical hierarchy process method indicates a suitable conformation between locations of the boreholes and the vulnerable areas. HIGHLIGHTS A multicriteria method is introduced to design and optimize the aquifer-monitoring network.; A reliable optimized monitoring network produces by the combination of MCLP and LINGO methods.; The initial number of 349 monitoring wells is optimized to 184 boreholes in an oil refinery.; A vulnerability zoning map prepared by the AHP method shows a suitable conformity with the density of boreholes.;
format	article
author	Abdorreza Vaezihir Fatemeh Safari Mehri Tabarmayeh Ali Asghar Khalafi
author_facet	Abdorreza Vaezihir Fatemeh Safari Mehri Tabarmayeh Ali Asghar Khalafi
author_sort	Abdorreza Vaezihir
title	Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
title_short	Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
title_full	Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
title_fullStr	Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
title_full_unstemmed	Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
title_sort	application of mclp and lingo methods to optimal design of groundwater monitoring network in an oil refinery site
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/bf4ecb31fc084c96b14b718278d1ba24
work_keys_str_mv	AT abdorrezavaezihir applicationofmclpandlingomethodstooptimaldesignofgroundwatermonitoringnetworkinanoilrefinerysite AT fatemehsafari applicationofmclpandlingomethodstooptimaldesignofgroundwatermonitoringnetworkinanoilrefinerysite AT mehritabarmayeh applicationofmclpandlingomethodstooptimaldesignofgroundwatermonitoringnetworkinanoilrefinerysite AT aliasgharkhalafi applicationofmclpandlingomethodstooptimaldesignofgroundwatermonitoringnetworkinanoilrefinerysite
_version_	1718444123093991424

Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site

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