摘要
以北京市某农田用地地下水监测井为研究对象,基于农田水文地质参数建立了地下水多目标模拟优化模型。结合Monte Carlo分析法分析了地下水水流模型和溶质运移模型参数的不确定性,并求解了单口监测井的影响半径,最后借助NSGA-II算法建立了两个目标函数之间的权衡关系。模型求解结果表明,监测系统可靠性目标最大为76.8%,对应的监测井数量最小为3口;当扩大污染羽的控制边界时,可以建立4口监测井。研究结果表明,模拟优化模型可以用于地下水监测井布井优化当中,建立两个目标函数之间合理的权衡关系,确定监测井的数量和位置,保证监测系统的可靠性。
A multi-objective simulation optimization model for groundwater monitoring network design was established based on the hydrogeological data of a farmland in Beijing. The groundwater flow and solute transport was simulated using MODFLOW and MT3 DMS,with the parameter uncertainty analyzed by Monte Carlo method.Non-dominated sorting genetic algorithm II（ NSGA-II） was used to optimize the two objective functions in the optimization model,where one was to maximize the monitoring reliability,and the other was to minimize the monitoring cost. The result showed that the maximal reliability of the monitoring system reached 76. 8% when the number of the monitoring well was 3,with the presence of well 5,well 6,and well 8. A fourth well（ well 10） could be adopted when the control boundary for the pollution plume extended. The case study indicated that the simulation optimization model can be used in groundwater monitoring well optimization to establish the trade-off relationship between the two objective functions,to obtain the number and location of the monitoring wells,and to guarantee the reliability of the monitoring system.
出处
《环境工程学报》
CAS
CSCD
北大核心
2016年第1期223-229,共7页
Chinese Journal of Environmental Engineering
基金
全国地下水基础环境状况调查评估(2031002001)
关键词
模拟优化模型
非支配排序遗传算法
多目标优化
监测网优化
地下水
simulation optimization model
non-dominated sorting genetic algorithm II（NSGA-II）
multi objective optimization
optimizing design of monitoring network
groundwater
