随机搜索算法在确定含水层参数中的应用

The Application of Random Search Algorithm to the Analysis of Pumping Test Data for Estimating Aquifer Parameters

以无限含水层和有直线隔水边界情况下的解析解为基础,分别应用原始随机搜索与受控随机搜索两种算法求解分析抽水试验数据,识别含水层参数问题。编写了两种随机搜索算法的运算程序,采用不同待估参数初始输入范围进行了数值实验。结果表明:①两种随机搜索算法均可成功地应用于分析抽水试验数据,识别含水层参数;②随着输入待识别参数初始取值范围的增大,搜索运算时间增长,但不影响最终参数识别结果;③原始搜索算法的运算时间小于受控搜索算法的运算时间。与其他算法相比,随机搜索算法具有原理简单,易于编程运算和计算结果与参数初始输入值基本无关等优点。

Based on two analytical solutions of unsteady groundwater flow caused by pumping tests,one of which is in the case of the aquifer with the infinite boundary,the other is in the case of aquifer with linear impervious boundary,two kinds of random search algorithm are respectively used to analyze the data of pumping tests for estimating aquifer parameters.The procedures of these two algorithms are programmed with VB computer language.With different ranges of initial guess value of aquifer parameters,numerical experiments are conducted.The results show that ①these two kinds of random search algorithms may be successfully used to analyze the data of pumping tests for estimation of aquifer parameters;②the larger the range of initial guess value of aquifer parameters is,the more search operation time is needed,but the final computational result is not affected;③the search operation time of the primary random search is shorter than that of controlled random search.Compared to the other intelligence optimization algorithm,the random search algorithm has such advantages as without key parameters of algorithm which needs to be given in advance of computing,being easy to be understand and programmed to conduct computing and the precision and the results of search computing being almost not affected by the range of input guessed values of aquifer parameters.