Influence of correlation scale errors on aquifer hydraulic conductivity inversion precision

作     者：Yun-xiao Mu Lei Zhu Tong-qing Shen Meng Zhang Yuan-yuan Zha Yun-xiao Mu;Lei Zhu;Tong-qing Shen;Meng Zhang;Yuan-yuan Zha

作者机构：School of Civil Engineering and Water ConservancyNingxia UniversityYinchuan 750021China Engineering Research Center for Efficient Utilization of Modern Agricultural Water Resources in Arid RegionsMinistry of EducationYinchuan 750021China State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan UniversityWuhan 430072China 

出 版 物：《Water Science and Engineering》 (水科学与水工程（英文版）)

年 卷 期：2020年第13卷第3期

页      面：243-252页

核心收录：

学科分类：081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：This work was supported by the National Natural Science Foundation of China(Grants No.51879134 and 51569023) the First-class Discipline Construction Funding Project for the Ningxia University of China(Hydraulic Engineering)(Grant No.NXYLXK2017A03) 

主　　题：Hydraulic conductivity Parameter inversion Successive linear estimator Correlation scale error Observation well number Pumping test number 

摘      要：In order to investigate the influence of correlation scale error on the inversion precision of the hydraulic conductivity of the aquifer,the successive linear estimator(SLE)was used to invert the hydraulic conductivity field of a heterogeneous aquifer based on synthetic *** increasing the numbers of observation wells and pumping tests,we analyzed the difference between the estimated and true values of hydraulic conductivity with different correlation scale *** relationships between the observation well number and the error in inversion results,and between the pumping test number and the error in inversion results were *** results show that,if the amount of observed head data is insufficient,there will be errors in inversion results with changing correlation *** to the existence of correlation scale error,the improvement of inversion precision gradually slows down with the increase of the amount of observed head data,which indicates that too much observed head data causes data ***,for the synthetic experiments described in this paper,the observation well number should be less than 41,the pumping test number should be less than 17,and a more suitable method should be selected according to the precision requirements of specific situations in practical engineering.