A new early warning method for dam displacement behavior based on non-normal distribution function

作     者：Zhen-xiang Jiang Hui Chen Zhen-xiang Jiang;Hui Chen

作者机构：School of Hydraulic and Ecological EngineeringNanchang Institute of TechnologyNanchang 330099China 

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

年 卷 期：2022年第15卷第2期

页      面：170-178页

核心收录：

学科分类：081504[工学-水利水电工程] 08[工学] 0815[工学-水利工程] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.52109156) the Science and Technology Project of the Jiangxi Provincial Education Department(Grant No.GJJ190970) 

主　　题：Non-normal distribution Dam displacement Early warning index Kernel density estimation Copula function 

摘      要：Traditional methods for early warning of dam displacements usually assume that residual displacements follow a normal *** assumption deviates from the reality,thereby affecting the reliability of early warning results and leading to misjudgments of dam displacement *** solve this problem,this study proposed an early warning method using a non-normal distribution function.A new early warning index was developed using cumulative distribution function(CDF)*** method of kernel density estimation was used to calculate the CDF values of residual displacements at a single *** copula function was used to compute the CDF values of residual displacements at multiple *** results showed that,with residual displacements in a non-normal distribution,the early warning method proposed in this study accurately reflected the dam displacement behavior and effectively reduced the frequency of false *** method is expected to aid in the safe operation of dams.