摘要
根据室内实验和数值模拟数据,分别以土壤含水率和溶质质量浓度的实测值与其计算值标准差最小为优化目标,建立溶质和水分运移参数识别的多目标优化模型,采用遗传算法、有限差分法和线性加权法相结合的计算方法,对模型进行优化求解。分别以单组、2组和3组时刻实验数据组合作为参数优化初始数据,获取了土壤非饱和水分和溶质运移参数值,并以1 345 min时刻实验数据进行验证。含水率计算值与实测值相关系数的最大值和最小值分别为0.975 3和0.945 0;溴离子溶液质量浓度的计算值与实测值相关系数最大值和最小值分别为0.964 6和0.935 2,实测值与计算值吻合较好,表明用这一方法识别非饱和水分-溶质运移参数是可行的。
According to the experiment and numerical simulation,a multi-objective optimization model for identification of solute and water transport parameters was built up,which use soil water content and the minimum standard deviation of measured and observed water content and solute as optimized objective.A combination of genetic algorithm,finite difference and linear weighted method was applied for calculation.Taking one,two and three groups experimental data as initial data,solute transport parameters in unsaturated soil were obtained and verified by using the experimental data at 1 345 min.The maximum and minimum correlation coefficient between calculated and measured value of water content were 0.975 3 and 0.945 0.The maximum and minimum correlation coefficient between calculated and measured value of bromonium ion concentration was 0.964 6 and 0.935 2.The measured results were well coincided with the calculated results and showed the feasibility of the proposed method.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2013年第9期68-72,共5页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(50979089)
关键词
溶质运移
参数识别
遗传算法
Solute transport Parameters identification Genetic algorithm
