中文摘要：

将遗传算法和变密度地下水流及溶质运移模拟程序SEAWAT耦合起来,开发了一个新的用于地下水模拟优化管理的通用程序——SWTGA。以求解变密度条件下地下水优化管理问题,从而为地下水管理决策者提供科学依据和技术支持。设计SWTGA时,建立了适用于变密度条件下地下水优化管理常见问题的目标函数的一般形式,同时设定了常用的约束条件。最后将SWTGA程序应用于一个理想滨海含水层中地下水开采方案的优化设计,寻优之后获得了最佳开采方案,与未优化开采方案的对比显示优化结果合理可行,验证了SWTGA模拟优化程序的有效性和可靠性。

英文摘要：

A new optimization model for ground water simulation, namely SWTGA, was developed by coupling genetic algorithm （GA） with SEAWAT, which is a density-dependent ground water flow and solute transport simulation code. The purpose of developing SWTGA is to solve ground-water optimization management problems under variable-density conditions, so as to scientifically and technically support the strategies determined for sustainable use and reasonable management of ground water resource. During the development of SWTGA, a general form of the objective function and a set of commonly used constraints suitable for a wide variety of ground-water optimization management problems under variable-density conditions are presented and then incorporated into the model. The SWTGA is successfully applied to optimal design of ground-water pumping scheme for a theoretical coastal aquifer system, which demonstrates the effectiveness and robustness of SWTGA.