Simulating soil water and solute transport in a soil-wheat system using an improved genetic algorithm
文献类型: 外文期刊
作者: Luo, Changshou 1 ; Sun, Sufen 1 ; Zhang, Junfeng 1 ; Zuo, Qiang 2 ; Li, Baoguo 2 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Inst Informat Sci & Technol Agr, Beijing 100097, Peoples R China
2.China Agr Univ, Coll Resources & Environm, Beijing 100094, Peoples R China
关键词: genetic algorithm;root length density distribution;soil water content;salinity;simulation
期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE, VOL 1
ISSN: 1571-5736
年卷期: 2008 年 258 卷
页码:
收录情况: SCI
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.
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