一维非饱和流模型参数估计的算法及其数值模拟

An Algorithm for Parameter Estimation of One-dimensional Unsaturated Flow Model and Numerical Simulation

文章研究一维非饱和流模型及其参数估计的问题,通过混合遗传算法对一维非饱和流问题进行求解待定参数。文章首先建立了一维非饱和流模型,然后设计了模型参数估计的计算流程,最后进行了数值模拟。非饱和流模型数值计算采用的是棉花吸水模型,将数值试验和入渗实验进行了对比。通过比较,运用混合遗传算法求解该模型,其精度较高。结果表明:混合遗传算法为一维非饱和流模型求待定参数提供了一种可行且有效的计算方法。

In this paper,the problem of one-dimensional unsaturated flow model and its parameter estimation is studied.First,a one-dimensional unsaturated flow model is established,then the calculation flow of model parameter estimation is designed,and finally the numerical simulation is carried out,the numerical experiment and infiltration experiment are compared.By comparison,the hybrid genetic algorithm is used to solve the model with high precision.The results show that the hybrid genetic algorithm provides a feasible and effective method for calculating the undetermined parameters of one-dimensional unsaturated flow model.