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各向异性含水层参数估计的差分进化算法
王晓晨1, 常安定1, 王静云,等1
长安大学 理学院
摘要:
【目的】通过分析抽水试验数据进行各向异性含水层参数估计,为各向异性含水层参数估计提供新的方法。【方法】以各向同性情况下的泰斯公式为基础,将差分进化算法应用于各向异性条件下含水层参数的估计,并将其计算结果与其他方法的参数估计结果进行比较,对不同初始参数范围下的参数估计值进行分析探讨。【结果】差分进化算法估计的参数值与其他方法估计的参数值之间有较小的差异,相对误差不到4%,且目标函数值相对更小,达到0.003 93;对于不同的初始参数范围,利用该算法均能得到满意的参数估计结果。【结论】基于抽水试验数据估计各向异性含水层参数的差分进化算法估计结果有效且可靠,算法稳定性高,寻优能力强。
关键词:  各向异性  含水层参数  差分进化算法  参数估计  抽水试验
DOI:
分类号:
基金项目:中央高校基本科研业务费专项资金(310829130225)
Differential evolution method for estimating the anisotropy aquifer parameters
WANG Xiao-chen,CHANG An-ding,WANG Jing-yun,et al
Abstract:
【Objective】This study estimated the anisotropy aquifer parameters by the analysis of pumping test data. In order to provide a new method for estimating the parameter under the condition of anisotropy aquifer.【Method】On the basis of the theis formula in the isotropic condition,differential evolution algorithm was applied to estimate the parameter under the condition of anisotropy aquifer.On the one hand,the calculation compare with other methods of parameter estimation and analyzes the results.On the other hand,discussing the estimated value of parameter that calculate under different initial scope.【Result】The relative error that the values of the parameters are estimated between differential evolution algorithm and other method and the objective function value are relatively smaller.The relative error less than 4% and the objective function value is 0.003 93;For different initial parameters,differential evolution algorithm can get a satisfactory parameter estimation result.【Conclusion】Based on pumping test data,the results of differential evolution method are more effective and reliable.It has higher stability and the stronger ability of optimization than other methods.
Key words:  random anisotropic  aquifer parameters  differential evolution  parameter estimate  pumping test