中文摘要：

将改进后的遗传算法GA（添加了小生境、Pareto解集过滤器等模块）与变密度地下水流及溶质运移模拟程序SEAWAT-2000相耦合,新开发了变密度地下水多目标模拟优化程序MOSWTGA。将MOSWTGA应用于求解大连周水子地区以控制抽水井所在含水层不发生海水入侵为约束的地下水开采多目标优化管理模型,得到地下水最大开采量与海水入侵面积之间一系列Pareto近似最优解。研究成果不仅为实行合理的地下水资源配置提供了科学的实用模型,同时也为解决多个优化目标下的变密度地下水优化管理问题提供高效可靠的模拟优化工具,具有重要的潜在环境经济效益。

英文摘要：

A multi-objective simulation-optimization groundwater management code,namely MOSWTGA,is developed by coupling an improved genetic algorithm（ adding probabilistic niched technique and the Pareto solution set filter） with a density-dependent groundwater flow and solute transport simulator,SEAWAT,to obtain the optimal strategies for utilization of groundwater resources. The MOSWTGA is used to solve the multi-objective simulation-optimization model for optimal groundwater abstraction strategies while preventing the pumping aquifer from seawater intrusion in the Zhoushuizi district of Dalian,and a set of Pareto nearoptimal solutions of tradeoffs between the maximization of the total pumping rate and the minimization of the extent of seawater intrusion are obtained. This study, based on the real hydrogeology parameters and groundwater abstraction conditions,provides a practical framework for implementing a reasonable allocation of groundwater resource,as well as an efficient and reliable tool for solving density-dependent groundwater optimization management models associated with multiple objectives, potentially leading to significant environmental and economic benefits.