抽水试验资料的遗传算法反演水文地质参数  

Hydrogeological Parameter Inversion by Genetic Algorithms Based on Pumping Test

作　　者：石志远[1] 许模[1] 

机构地区：[1]成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都610059

出　　处：《四川地质学报》2011年第4期466-469,480,共5页Acta Geologica Sichuan

摘　　要：基于MATLAB遗传工具箱的遗传算法是一种借鉴生物界自然选择和自然遗传机制的全局最优化随机搜索算法。它以其简单通用、鲁棒性强、适于并行处理及高效等显著特点,在各领域得到了广泛的应用。结合抽水试验实例采用遗传算法反演水文地质参数,并将所求参数与配线法和直接图解法所得参数进行对比分析。结果显示,遗传算法所求参数的计算降深与实测降深吻合程度高,方便快捷,不失为一种有效的水文地质参数求解方法。Genetic algorithm which is based on MATLAB genetic toolbox is a stochastic global optimization algorithm. On account of its simple generality, strong robustness, suitability for parallel processing, efficient and other significant properties, GA （genetic algorithm） has been widely used. This paper applies GA to invert hydrogeological parameters based on the pumping test and compares with the parameters by wiring method and Jacob linear graphic method. The results indicate that drawdown calculated by parameters of GA coincides with the measured drawdown. Convenient and quick GA can be regarded as a kind of effective method to solve the hydrogeology parameters.

关 键 词：非稳定流抽水试验 水文地质参数 遗传算法 

分 类 号：P641.2[天文地球—地质矿产勘探]