摘要
土壤水分运动参数的识别是研究土壤水分运动的基础。该文以反映土壤含水率实测值和计算值吻合程度的均方差最小为优化目标,以土壤导水率和扩散率经验参数上下限为约束条件,建立了土壤水分运动参数识别的优化计算模型。采用遗传算法和田间均质土壤一维非饱和运动数值计算相结合的方法,获得土壤导水率和扩散率经验参数最优值。经验证计算,土壤含水率实测值和计算值吻合程度较高,表明这一方法是可行的。
The identification of the soil hydraulic properties is the basis of studying soil water movement.An optimization model was established for identifying the soil hydraulic properties.The optimization objective was the minimum mean square deviation of simulation between measured and observed values of soil water content,and the constraint conditions were the upper and lower limit values of empirical soil hydraulic conductivity and water diffusion coefficients.The optimal values of the soil hydraulic conductivity and water diffusion coefficients could be obtained through applying genetic algorithm and numerical simulation method of one-dimensional flow movement in unsaturated homogeneous soil. The test showed that the numerical simulation results of soil water content were well coincided with the observed values. Therefore, the method is feasible.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2009年第9期32-35,共4页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金资助项目(50549018
50979089)
关键词
遗传算法
土壤含水率
水力
非饱和土壤水
土壤水分运动参数
genetic algorithm
soil moisture
hydraulics
unsaturated soil water
soil hydraulic properties
