Institute of Mechanics, Structural Analysis, and Dynamics, TU Dortmund University, Dortmund 44227, Germany; Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart 70569, Germany.
School of Natural and Built Environment, Queen's University Belfast, BT9 5AG, United Kingdom.
Sci Total Environ. 2019 Jun 15;669:389-399. doi: 10.1016/j.scitotenv.2019.01.409. Epub 2019 Mar 4.
The simulation-optimisation models of groundwater and contaminant transport can be a powerful tool in the management of groundwater resources and remediation design. In this study, using Multiquadratic Radial Basis Function (MRBF) a coupled groundwater flow and reactive transport of contaminant and oxidant was developed in the framework of the Meshfree method. The parameter analysis has determined the optimum shape parameter (0.97), and the results of the model were compared with a physical sandbox model which were in good agreement. The genetic algorithm approach was used to find the optimum design of the remediation using permanganate as an oxidant. To find the optimum design we considered two objectives and two constraints. The results revealed that the breakthrough of contaminant to the downstream area of interest and the concentration of the contaminant in this area is reduced significantly with optimisation.
地下水和污染物运移的模拟-优化模型可以成为地下水资源管理和修复设计的有力工具。在本研究中，使用多元二次径向基函数（MRBF），在无网格方法的框架内开发了地下水流动和污染物及氧化剂反应输运的耦合模型。参数分析确定了最优形状参数（0.97），并且模型的结果与物理沙箱模型的结果进行了比较，吻合良好。遗传算法方法被用于使用高锰酸盐作为氧化剂来寻找修复的最优设计。为了找到最优设计，我们考虑了两个目标和两个约束。结果表明，通过优化，污染物向下游感兴趣区域的穿透和该区域污染物的浓度显著降低。
