水利学报2017，Vol.48Issue(11)：1293-1302,10.DOI:10.13243/j.cnki.slxb.20170633
采用基因表达式编程的沟灌入渗模型参数估计方法
Parameter estimation for furrow infiltration model with Gene Expression Programming
摘要
Abstract
Accurate estimation of infiltration parameters is critically important for the optimal design of furrow irrigation system.In the present study,a method for estimating the edge effect parameter γ of furrow infiltration model was proposed by using of the gene expression programming (GEP) algorithm.A numerical experiment was conducted to produce the dataset for validating the GEP algorithm.The input factors of GEP algorithm were determined on the basis of the sensitivity analysis of γ,and then the quantitative relationship between γ and the optimal combination of input factors was established.The results show that 7 is very sensitive to ponding water depth,initial effective water content and furrow depth.Soil hydraulic properties had a great influence on γ.The optimal combination of the input factors are the ponding water depth,furrow depth,initial effective water content,saturated hydraulic conductivity and inverse of the air-entry value.The estimated γ under the condition of variable ponding depth is approximately the same as those of constant ponding depth condition.For variable water depth,the difference between the cumulative infiltration obtained by using the furrow infiltration model with the GEP estimated γ and the "exact" cumulative infiltration calculated by HYDRUS-2D is less than 5％.The contribution of edge effect to total infiltration increases gradually during the infiltration process.Compared with the fine soil,coarse soil shows a larger edge effect on the total infiltration.The edge effect in clay loam is about 25％,and about 37％ in sand under the conditions of this study.It can be concluded that the GEP algorithm is an effective method to estimate the parameter γ for the furrow infiltration model.关键词
沟灌/入渗/参数估计/基因表达式编程Key words
furrow irrigation/infiltration/parameter estimation/gene expression programming分类
建筑与水利引用本文复制引用
刘琨,黄冠华..采用基因表达式编程的沟灌入渗模型参数估计方法[J].水利学报,2017,48(11):1293-1302,10.基金项目
国家自然科学基金项目(51639009) （51639009）
