免疫进化捕食算法用于二维水质模型横向扩散系数优化  

OPTIMIZATION OF TRANSVERSE DIFFUSION COEFFICIENT OF TWO-DIMENSIONAL WATER QUALITY MODEL USING PREDATORY SEARCH STRATEGY OF IEA

作　　者：梁晓龙[1] 李祚泳[1] 汪嘉杨[1] 

机构地区：[1]成都信息工程学院,成都610225

出　　处：《环境工程》2013年第5期136-138,共3页Environmental Engineering

基　　金：国家自然科学基金项目(51209024)

摘　　要：为建立比传统的经验法有较高精度的河流二维水质模型横向扩散系数的计算公式,根据有限的实测数据,提出用免疫进化优选捕食搜索算法,对河流二维水质模型横向扩散比例系数计算公式中的多参数进行优化。将优化得到的计算公式用于国内外若干河流的河段横向扩散比例系数αZ的拟合和外推效果检验,并与经验公式的检验结果进行了比较,表明将免疫进化优选捕食搜索算法用于二维水质模型横向扩散比例系数的优化有较高精度,从而为横向扩散系数的计算提供了新方法。The purpose of this study was to develop a formula of transverse diffusion coefficient of two-dimensional water quality model,which has a higher accuracy than the conventional empirical method.According to the limited experimental data,the parameters in the formula of transverse diffusion coefficient of two-dimensional water quality model for river was optimized using predatory search strategy of immune evolutionary optimization method.The optimized formula was applied to the effects of the fitting and extrapolation of transverse diffusion proportion coefficient α Z for several river reaches at home and abroad,which were compared with the test results of the empirical formula.Results of this study show that the optimization of transverse diffusion proportion coefficient for two-dimensional water quality model has higher accuracy using predatory search strategy of immune evolutionary algorithm.This study provides a new method for the calculation of the transverse diffusion coefficient.

关 键 词：免疫进化算法 优选法 捕食搜索策略 水质模型 横向扩散系数 

分 类 号：X832[环境科学与工程—环境工程]