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首页> 外文期刊>Journal of hydroinformatics >Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site
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Application of MCLP and LINGO methods to optimal design of groundwater monitoring network in an oil refinery site

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

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摘要

Groundwater-monitoring network is a set of boreholes (wells) that is used to monitor the water tablefluctuation and to detect groundwater contamination. In this research, the maximal covering locationproblem (MCLP) method is employed to discretize the area, and the LINGO modeling program is usedto optimize the number of boreholes. Tabriz oil refinery at the northwest of Iran with high pollutionpotential that imposes a serious threat to the beneath multilayered aquifer was chosen to evaluatethe feasibility of these techniques in field scale. The location and content of storage tanks, leakagehistory, groundwater flow direction, contaminated well location and the facilities leakage potentialare 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 thestudy area is reduced from 349 to 184. A high density of optimal boreholes is allocated to refiningzone and oil storing yard, especially near tanks containing dangerous substances due to their toxicityand potential for contaminating water. A vulnerability zoning map prepared using the analyticalhierarchy process method indicates a suitable conformation between locations of the boreholes andthe vulnerable areas.

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