Application Of Hybrid Strategy Particle Swarm Optimization Algorithm In Determining Aquifer Parameters

Aquifer parameters are basic parameters for groundwater research,and the reliability of aquifer parameters determines the accuracy of groundwater simulation calculations.At present,aquifer parameters are determined by pumping test data.In recent years,intelligent optimization algorithms have been widely used to solve such problems.Particle Swarm Optimization algorithm(PSO)is commonly used in the intelligent optimization algorithm.In view of some problems of the PSO algorithm,this paper improves it and uses it to determine the parameters of the complete well flow model of the linear boundary.The main research work of this paper is as follows:1?To the shortcomings of PSO algorithm,hybrid strategy particle swarm optimization algorithm(HS-PSO)was put forward in this paper.This algorithm incorporated compaction into PSO algorithm to strengthen the local search ability of the algorithm.Combined with the control of scheduling coefficient to improve the convergence accuracy and speed.And the constraints of substitutive threshold improved global search ability.2?The HS-PSO algorithm was applied to determine the complete well flow model parameters of the linear water supply boundary.The comparison with calculation result of different algorithm in the related literature,the fitting with the original data and the inversion of original data,show that the reliability of HS-PSO algorithm.The different degrees disturbance is added to original data,which show that stability of HS-PSO algorithm.The relationship between convergence of HS-PSO algorithm and number of population size is discussed and the recommended value of population size is given.By analyzing the influence of the estimated parameters of the scope on the convergence of the HS-PSO algorithm,show that the HS-PSO algorithm has low sensitivity.3?The HS-PSO algorithm was applied to determine the complete well flow model parameters of the linear impervious boundary.The fitting with the original data and inversion of original data,show that the reliability of HS-PSO algorithm.The relationship between the convergence of HS-PSO algorithm and number of population size is discussed and the recommended value of population size is given.By analyzing the influence of the estimated parameters of the scope on the convergence of the HS-PSO algorithm,show that HS-PSO algorithm is more effective than other algorithms in determining aquifer parameters.The sensitivity of the estimated conductivity coefficient and the estimated storage coefficient was analyzed,which shows that the water conductivity coefficient and the water storage coefficient decrease with the increase of the water level draw-down,and the sensitivity of the water conductivity coefficient is higher than the water storage coefficient.