Parameter Optimization of Soil Water Characteristic Curve Model Based on Swarm Intelligence Algorithm
Van-Genuchten model of soil water characteristic curve(hereinafter referred to as VG model)is widely used because of its high fitting accuracy and wide adaptability.However,VG model has many parameters(θ,θr,θs,h,α,n,m),and its parameter fitting is a nonlinear problem.In order to improve the accuracy of parameter fitting,Gaussian chaos variation theory was introduced to improve the Dung Beetle optimization algorithm(DBO),Circle chaos sequence was used to increase population diversity,improve the quality of initial solutions,and form a CDBO optimization algorithm.In this paper,DBO and CDBO algorithms were applied to optimize VG model parameters and calculate simulated water content,and MATLAB R2021a simulation software and SPSS26 software were used for simulation and data analysis.The results show that the error range between the simulated water content and the measured water content of the VG model optimized by CDBO is(0,0.8),while that of DBO is(0,3.0).Finally,HYDRUS-2D software was used to simulate soil water migration.SPSS26 software was used to estimate the curve of the simulation results.The root mean square error(RMSE)before and after optimization were 0.051 and 0.039,and the coefficient of determination(R2)were 0.733 and 0.859,respectively.The results show that the VG model optimized by CDBO algorithm has higher accuracy and applicability in water content simulation and soil water characteristics description.
NETL
NSTL
万方数据
维普
