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Optimal control of groundwater pollution combined with source abatement costs and taxes

机译:最优控制地下水污染,结合源头减排成本和税收

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In this paper, we develop a new groundwater pollution control by finding the optimal amounts of fluxes for disposals, where the optimization objective function is proposed by considering the overall effects caused by pollution, abatement costs and pollution taxes. The proposed optimal control model is subject to the flow and transport groundwater equations in porous media. More specifically, we use the splitting scheme and the second-order improved-upwind method to simulate the flow and transport processes in the groundwater system in porous media. We then integrate the simulated results with an optimization problem which minimizes the pollutant concentration deviation, abatement cost and pollution tax simultaneously. The optimization problem is solved by the constrained difference evolution (DE) optimization algorithm. The performance of the proposed optimal control model is evaluated on two synthetic simulations: one on an aquifer with a simple geometry and with constant disposal fluxes, and the other on a more realistic-shaped aquifer with fluxes varying piecewise in time. The developed source optimal control model and its algorithm can be applied to large scale applications of groundwater pollution control on aquifers. (C) 2017 Elsevier B.V. All rights reserved.
机译:在本文中,我们通过寻找处置的最佳通量来开发一种新的地下水污染控制方法,其中考虑污染,减排成本和污染税的总体影响,提出了优化目标函数。所提出的最优控制模型要服从多孔介质中的地下水渗流和渗流方程。更具体地说,我们使用分裂方案和二阶改进的迎风方法来模拟多孔介质中地下水系统中的流动和输送过程。然后,我们将模拟结果与优化问题整合在一起,该优化问题可以同时最小化污染物浓度偏差,减排成本和污染税。通过约束差分演化(DE)优化算法解决了优化问题。所提出的最优控制模型的性能通过两个综合仿真进行评估:一个在具有简单几何结构且具有恒定处理通量的含水层上,另一个在形状更真实的含水层上随着通量的变化而变化。所开发的水源最优控制模型及其算法可以应用于含水层地下水污染控制的大规模应用。 (C)2017 Elsevier B.V.保留所有权利。

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