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地下水污染源反演问题和含水层参数反演问题都是典型的地下水逆问题。在未知含水层参数(渗透系数、弥散度等)等先决信息的情况下进行地下水污染源反演计算时,需要根据已有的监测数据(水位和浓度等)对地下水污染源和未知含水层参数进行同步反演。在同步反演优化问题中,决策变量包括污染源位置、强度以及待求的含水层参数。本文对同步反演模型的框架组成(包括污染物迁移模型和反演优化模型)进行分析后,在对已有的各种和声搜索改进算法进行研究的基础上结合同步反演模型提出一种改进的和声搜索算法,最后将同步反演模型和改进的和声搜索算法应用于具体的算例研究。研究表明,改进的和声搜索算法具有算法稳定高效、求解精度高等特点,能够广泛应用于复杂的地下水污染源和含水层参数反演问题。
Both the groundwater source inversion problem and the aquifer parameter inversion problem are typical groundwater inverse problems. When the groundwater pollution source inversion calculation is carried out with unknown information such as the permeability coefficient, dispersion, etc., the parameters of the groundwater source and the unknown aquifer need to be synchronized according to the existing monitoring data (water level and concentration, etc.) Inversion. In the synchronous inversion optimization problem, the decision variables include the source location, intensity and the aquifer parameters to be sought. After analyzing the frame composition of the synchronous inversion model (including the pollutant migration model and the inversion optimization model), based on the existing algorithms for improving the harmony search, a synchronous inversion model is proposed Improved harmonic search algorithm, and finally the synchronous inversion model and the improved harmony search algorithm are applied to the specific case study. The research shows that the improved harmony search algorithm has the characteristics of stable and efficient algorithm and high solution accuracy, and can be widely applied to the complex groundwater pollution source and aquifer parameter inversion.