粒子群优化算法确定非线性流含水层参数  

Determination on Aquifer Parameters in Nonlinear Flow by Particle Swarm Optimization Algorithms

作　　者：王菲[1] 刘元会[1] 郭建青[1] 

机构地区：[1]长安大学理学院,西安市710064

出　　处：《勘察科学技术》2013年第1期5-7,38,共4页Site Investigation Science and Technology

基　　金：陕西自然科学基础研究计划项目(2006D25);长安大学科技发展基金项目(0305-1001)

摘　　要：针对在含水层中存在非线性流情况下,分析非稳定井流试验数据及确定含水层参数的方法较少的问题,该文首先在已有非稳定井流问题解析解的基础上,进行了进一步的推导和简化,得到了能够方便应用的数值表达式;然后又根据最小二乘原理,构造了用于分析含水层中存在非线性流时的抽水试验数据、确定了含水层参数与非线性渗流参数的目标函数,并编写了用于求解该问题的粒子群优化算法专门程序;最后,通过数字算例验证了方法的可行性和可靠性。According to the issues that the method of analyzing data of pumping tests and determining the aquifer parameters in nonlinear flow conditions have few, first, based on the analytical solution to un- steady flows, through the further formulate and tained. Second, according to the principle of least simplify, the numerical calculation expression is ob- square, the target function to analyze the data of pum- ping tests in nonlinear flow and the determinination of aquifer and nonlinear parameters is constructed. Then, the computation procedure of particle swarm optimization algorithm is compiled. At last, through the numerical example it verifies the particle swarm optimization algorithm is reliable and feasible.

关 键 词：非线性井流 解析解简化 抽水试验数据 粒子群算法 含水层系数 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] P641[自动化与计算机技术—计算机科学与技术]