中文摘要：

SWTGA将遗传算法（GA）与海水入侵变密度流数值模拟程序SEAWAT相耦合,是一个用于求解海水入侵区地下水优化管理模型的高效模拟优化工具。本文将SWTGA应用于大连周水子地区以控制海水入侵范围为约束的地下水开采方案优化设计中,以得到滨海含水层地下水资源的最佳开采方案及最大开采量。结果表明,优化后地下水总开采量比优化前增加了224.394%。本研究基于实际的水文地质参数和地下水开采条件,可为研究区地下水资源合理配置提供科学决策依据。

英文摘要：

The numerical simulation-optimization code,namely SWTGA,is developed by coupling the genetic algorithm（ GA） with the density-dependent groundwater flow and solute transport simulator SEAWAT,to obtain the optimal strategies for the utilization of groundwater resource. The SWTGA is then applied to the optimal control of seawater intrusion in Zhoushuizi district of Dalian. After the optimization,the optimal pumping scheme and the maximum amount of total pumping water are obtained. The optimization results show that the total pumping rate has an increase of 224. 394% compared to the preoptimization. The study based on the real hydrogeological parameters and groundwater mining conditions provides the scientific and decision-making basis for implementing reasonable allocation of groundwater resource.