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Optimization of Denser Nonaqueous Phase Liquids-contaminated groundwater remediation based on Kriging surrogate model

机译:基于克里格模型的Denser非水相液体污染地下水修复方法的优化

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Spillage of large amounts of Denser Nonaqueous Phase Liquids (DNAPLs) had resulted in serious pollution ofngroundwater resources throughout the world; a large number of studies had demonstrated surfactant-enhancednremediation is a more effective approach to remediate DNAPLs contaminations. In this paper, the remediationnoptimization process was carried out in three steps. Firstly, a water-oil-surfactant simulation model had beennfirstly established to simulate a surfactant enhanced aquifer remediation process. The Kriging surrogate modelnhad been developed to get a similar input–output relationship with simulation model. In the final, a nonlinearnoptimization model was formulated for the minimum cost, and Kriging surrogate model had been embeddedninto the optimization model as a constrained condition. What is more, simulated annealing method was usednto solve the optimization model and give the optimal Surfactant-Enhanced Aquifer Remediation strategy. Thenresults showed Kriging surrogate model had reduced computational burden and make the optimization modelneasy to solve, and the optimal strategies gave an effective guide to contaminants remediation process.
机译:大量的Denser非水相液体(DNAPLs)泄漏导致全世界地下水资源受到严重污染;大量研究表明,表面活性剂增强修复是一种更有效的补救DNAPLs污染的方法。本文通过三个步骤进行了修复优化过程。首先,首先建立了水-油-表面活性剂模拟模型,以模拟表面活性剂增强含水层的修复过程。已经开发了克里格代理模型,以与模拟模型获得类似的输入-输出关系。最后,为最小成本制定了非线性优化模型,并将Kriging替代模型作为约束条件嵌入到优化模型中。此外,采用模拟退火法求解优化模型,给出了优化表面活性剂的含水层修复策略。结果表明,克里格替代模型减轻了计算负担,使优化模型难以求解,最优策略为污染物的修复提供了有效的指导。

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