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首页> 外文期刊>Journal of the American Water Resources Association >OPTIMIZATION OF INTERMITTENT PUMPING SCHEDULES FOR AQUIFER REMEDIATION USING A GENETIC ALGORITHM
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OPTIMIZATION OF INTERMITTENT PUMPING SCHEDULES FOR AQUIFER REMEDIATION USING A GENETIC ALGORITHM

机译：基于遗传算法的含水层修复间歇抽水时间表的优化。

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摘要

Using a genetic algorithm (GA), optimal intermittent pumping schedules were established to simulate pump-and-treat remediation of a contaminated aquifer with known hydraulic limi- tations and a water miscible contaminant, located within the Duke forest in Durham, North Carolina. The objectives of the optimiza- tion model were to minimize total costs, minimize health risks, and maximize the amount of contaminant removed from the aquifer. Stochastic ground water and contaminant transport models were Required to provide estimates of contaminant concentrations at Pumping wells. Optimization model simulations defined a tradeoff Curve between the pumping cost and the amount of contaminant Extracted from the aquifer.
机译：使用遗传算法（GA），建立了最佳的间歇抽水时间表，以模拟位于北卡罗来纳州达勒姆（Durham）杜克森林中具有已知水力限制和与水混溶的污染物的含水层的泵送处理。优化模型的目标是最小化总成本，最小化健康风险以及最大化从含水层中去除的污染物量。需要使用随机地下水和污染物运移模型来估算抽水井中的污染物浓度。优化模型仿真定义了抽水成本与从含水层中提取的污染物量之间的折衷曲线。

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