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ji yu can shu bu que ding xing de di xia shui wu ran zhi li duo mu biao guan li mo xing
Author(s): 
Pages: 2059-2067
Year: Issue:  7
Journal: Acta Scientiae Circumstantiae

Keyword:  risk assessment of groundwater contaminationuncertainty analysisconditional simulationprobabilistic multi-objective optimizationimproved niched Pareto genetic algorithm;
Abstract: 引入随机Pareto控制排序和随机小生境技术,提出基于参数随机变化的改进小生境Pareto遗传算法,用于求解不确定性条件下地下水污染治理多目标管理模型.同时,利用顺序高斯条件模拟的蒙特卡罗方法,结合不确定性分析和风险评估,分析不同渗透系数条件点数对污染物运移结果不确定性和污染风险评价的影响.最后将该方法应用于一个考虑渗透系数为随机变量的二维地下水污染修复算例中.结果分析表明,该方法可为地下水污染治理提供变异性较小的Pareto管理策略,是一种稳定可靠的多目标随机优化方法.
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