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.
出处
《环境工程》
CAS
CSCD
北大核心
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)
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
immune evolutionary algorithm（IEA）
optimal method
predatory search strategy
water quality model
transverse diffusion coefficient
