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Investigating the Optimization-Simulation Problem of Groundwater Remediation Under Various Scenarios | ||
| Water Harvesting Research | ||
| دوره 7، شماره 1، خرداد 2024، صفحه 125-139 اصل مقاله (1.81 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2024.7919.1144 | ||
| نویسندگان | ||
| Mohammad Javad Zeynali* 1؛ Mohammad Nazeri Tahroudi2؛ Omolbani Mohammadrezapour3 | ||
| 1Assistant Professor, Department of Civil Engineering, University of Torbat-Heydarieh (UTH), Iran | ||
| 2Assistant Professor, Department of Water Engineering, Lorestan University, Khorramabad, Iran | ||
| 3Associate Professor, Department of Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources | ||
| چکیده | ||
| The efficiency of groundwater remediation by the pump-and-treat (PAT) method is affected by several components. The most important of these components is the pumping wells' location. In this research, hybrid optimization-simulation models were developed to find the appropriate groundwater remediation strategy using the PAT method. The GA-FEM and NSGA-II-FEM models were used to solve two optimization problems for a real aquifer (Ghaen aquifer). These optimization problems were investigated from one objective problem and two objective problems in three scenarios. In solving the single-objective optimization problems, the objective was to determine the optimal location of three, five, and seven pumping wells with a rate of 600 m3/day to minimize the mean of carcinogenic human health risk. The results indicated that the GA-FEM model has a good efficiency with 356.2302×10-6, 356.2253×10-6, and 356.2226×10-6 for three scenarios, respectively. The results indicated that increasing the number of pumping wells between scenarios one and two, 0.0013% and scenarios one and three 0.0021% improves the amount of mean carcinogenic human health risk. In the two-objective problems, the second objective function was defined as minimizing the drawdown of the groundwater head. The results of the two-objective problems in three scenarios indicated that the NSGA-II algorithm had a good performance and the NSGA-II algorithm provided a well-distributed set of solutions along the Pareto-optimal front. Also, the results indicated that when there are 5 pumping wells, the minimum mean of carcinogenic human health risk is 3.56226 and by adding two more pumping wells, this amount reaches 3.56225, while the rate of groundwater drawdown increases by 20 meters. Therefore, increasing the number of pumping wells from one limit not only does not have a significant effect on reducing pollution but also causes an increased groundwater drawdown. | ||
| کلیدواژهها | ||
| Contaminant concentration؛ Drawdown of groundwater head؛ Finite element method؛ Genetic algorithms؛ Health risk assessment | ||
| مراجع | ||
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