SIMULATING SOIL WATER AND SOLUTE TRANSPORT IN A SOIL-WHEAT SYSTEM USING AN IMPROVED GENETIC ALGORITHM
文献类型: 会议论文
第一作者: Changshou Luo
作者: Changshou Luo 1 ; Sufen Sun; Junfeng Zhang; Qiang Zuo; Baoguo Li;
作者机构: 1.Institute of Information on Science and Technology of Agriculture, Beijing Academy of Agriculture and forestry Sciences, Beijing, 100097, China
关键词: genetic algorithm;root length density distribution;soil water content;salinity;simulation
会议名称: Computer and computing technologies in agriculture.
主办单位:
页码: 593,604-
摘要: An improved genetic algorithm was applied and examined to optimize the weights of a neural network model for estimating root length density (RLD) distributions of winter wheat under salinity stress. Thereafter, soil water and solute transport with root - water - uptake in a soil-wheat system were simulated numerically, in which the estimated RLD distributions were incorporated. The results showed that the estimated RLD distributions of winter wheat using the neural network model combined with the improved genetic algorithm, as well as the simulated soil water content and salinity distributions, were comparably well with the experimental data. The method can serve in modeling flow and transport under salinity or saline water irrigated areas.
分类号: [ "S126" , "S126"]
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