Abstract：This paper presents a study of groundwater pollution sources identification using simulation-optimization model based on the Genetic Algorithm. The simulation-optimization model was coupled with response matrix approach and state transition equation method, which was solved with genetic algorithm, and the minimum error between the simulated results and the observed data was obtained after multiple iteration. The performance of the model was evaluated with a hypothetical example. The simulated results indicate that the absolute error of response matrix approach and state transition equation method was 0.1~1.6g/L and was 0~5.2g/L, respectively. It proves that the simulation-optimization model based on the genetic algorithm for identifying single groundwater pollution source was feasible. Also, response matrix approach was superior to the state transition equation method.
肖传宁, 卢文喜, 安永凯, 顾文龙, 赵莹. 基于两种耦合方法的模拟-优化模型在地下水污染源识别中的对比[J]. 中国环境科学, 2015, 35(8): 2393-2399.
XIAO Chuan-Ning, LU Wen-Xi, AN Yong-Kai, GU Wen-Long, ZHAO Ying. Simulation-optimization model of identification of groundwater pollution sources based on two coupling method. CHINA ENVIRONMENTAL SCIENCECE, 2015, 35(8): 2393-2399.
