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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2021-07-01
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| Series: | Journal of Hydroinformatics |
| Subjects: | |
| Online Access: | http://jh.iwaponline.com/content/23/4/813 |
| _version_ | 1818913860718952448 |
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| 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 |
| collection | DOAJ |
| 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.; |
| first_indexed | 2024-12-19T23:37:12Z |
| format | Article |
| id | doaj.art-bf4ecb31fc084c96b14b718278d1ba24 |
| institution | Directory Open Access Journal |
| issn | 1464-7141 1465-1734 |
| language | English |
| last_indexed | 2024-12-19T23:37:12Z |
| publishDate | 2021-07-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Hydroinformatics |
| spelling | doaj.art-bf4ecb31fc084c96b14b718278d1ba242022-12-21T20:01:34ZengIWA PublishingJournal of Hydroinformatics1464-71411465-17342021-07-0123481383010.2166/hydro.2021.172172Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery siteAbdorreza Vaezihir0Fatemeh Safari1Mehri Tabarmayeh2Ali Asghar Khalafi3 Department of Earth Sciences, University of Tabriz, 29 Bahman Blvd., Tabriz, Iran Department of Earth Sciences, University of Tabriz, 29 Bahman Blvd., Tabriz, Iran Department of Earth Sciences, Shiraz University, Adabiat Square, Shiraz, Iran Environment Office, Tabriz Oil Refining Company, Tabriz, Iran 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.;http://jh.iwaponline.com/content/23/4/813ahpdesign and optimizationgroundwater monitoringlingomclptabriz oil refinery |
| spellingShingle | 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 Journal of Hydroinformatics ahp design and optimization groundwater monitoring lingo mclp tabriz oil refinery |
| title | 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_short | 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 |
| topic | ahp design and optimization groundwater monitoring lingo mclp tabriz oil refinery |
| url | http://jh.iwaponline.com/content/23/4/813 |
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