确定越流含水层参数的混沌序列优化算法

将混沌序列优化算法应用在第一类越流系统含水层非稳定流井流问题上,进行抽水试验数据的分析、含水层参数的求解,并就算法的搜索能力和结果与给定含水层各参数取值范围的关系进行探讨。结果表明:(1)求解越流条件下含水层参数的计算问题能用混沌序列优化算法得到很好的解决;(2)除越流因数上限取值会降低越流因数搜索结果的准确性外,储水系数、导水系数、越流因数上限取值对算法的搜索能力和搜索结果没有太明显的影响。相较于其他方法,混沌序列优化算法易于编程、运算简单、运算结果不被人为因素干扰等特点更为突出。

Chaotic time-series optimization algorithm for leakage aquifer parameters estimation

We applied the chaotic time-series optimization algorithm to the well flow problem of unsteady flows in the first-type leaky aquifer,analyzed the data of pumping tests,and determined the aquifer parameters.We also discussed the relationship between the search capability and results of the algorithm and the value range of the parameters of the given aquifer.The results showed that:(1)Chaotic time-series optimization algorithm can be effectively applied to the calculation of aquifer parameters under leakage conditions.(2)The values of the upper limits of storage coefficient,transmissibility coefficient,and leakage factor do not have very obvious impact on the search capability and results of the algorithm,except that the value of the upper limit of leakage factor will reduce the accuracy of the search results of the leakage factor.Compared with other methods,the chaotic time-series optimization algorithm has such advantages as simple calculation,easy programming,and calculation results not affected by artificial subjective factors.