改进的入侵杂草优化算法在泰斯模型中的应用  

The Application of Modified IWO Algorithm to Theis's Model

作　　者：邱云翔[1,2] 刘国东[1,2] 王亮[1,2] 李世钰[1,2] 

机构地区：[1]四川大学水利水电学院,成都610065 [2]四川大学水力学与山区河流开发保护国家重点实验室,成都610065

出　　处：《中国农村水利水电》2017年第1期118-121,共4页China Rural Water and Hydropower

摘　　要：智能优化算法应用于泰斯模型时,需要预估待求参数的搜索范围。为降低预估难度,将具备广度搜索优势的入侵杂草优化算法引入到泰斯模型中,通过分析入侵杂草优化算法在广度搜索空间中运用泰斯公式的局限性,变算法标准差的静态设置为动态调整,提出并构建改进的入侵杂草优化算法运用泰斯公式模型。应用该模型处理三个不同尺度非稳定流抽水试验。研究结果表明:改进的入侵杂草优化算法能在广度搜索空间中高效运用泰斯公式反演出接近实际的导水系数和贮水系数。It is necessary to estimate the search range of parameters,when intelligent optimization algorithm is applied to Theis＇s model.In order to reduce the difficulty in estimating the search range,IWO algorithm is applied,which has the advantage of wide search for Theis＇s model.Through analyzing the limitation of using Theis＇ s equation with the application of IWO algorithm in the case of wide search area,the static settings of standard deviation is changed to dynamic modulation,the model of using Theis＇s equation with the application of the modified IWO algorithm is proposed.This model is applied to deal with three different scale unsteady flow pumping tests.The results prove that using Theis＇ s equation with the application of the modified IWO algorithm in the case of wide search area can efficiently obtain the transmissivity and storativity,which are close to the actual values.

关 键 词：入侵杂草优化算法 泰斯公式 水文地质参数 导水系数 贮水系数 

分 类 号：TV211.12[水利工程—水文学及水资源]