Seepage safety monitoring model for an earth rock dam under influence of high-impact typhoons based on particle swarm optimization algorithm

作     者：Yan Xiang Shu-yan Fu Kai Zhu Hui Yuan Zhi-yuan Fang 

作者机构：Dam Safety Management Center of the Ministry of Water ResourcesNanjing Hydraulic Research InstituteNanjing 210029China State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringNanjing Hydraulic Research InstituteNanjing 210029China College of Mechanics and MaterialsHohai UniversityNanjing 210098China School of Water Resources and Hydraulic EngineeringYunnan Agricultural UniversityKunming 650000China 

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

年 卷 期：2017年第10卷第1期

页      面：70-77页

核心收录：

学科分类：081504[工学-水利水电工程] 0707[理学-海洋科学] 08[工学] 0815[工学-水利工程] 0813[工学-建筑学] 0824[工学-船舶与海洋工程] 0814[工学-土木工程] 

基　　金：supported by the National Natural Science Foundation of China(Grants No.51179108 and 51679151) the Special Fund for the Public Welfare Industry of the Ministry of Water Resources of China(Grant No.201501033) the National Key Research and Development Program(Grant No.2016YFC0401603) the Program Sponsored for Scientific Innovation Research of College Graduates in Jiangsu Province(Grant No.KYZZ15_0140) 

主　　题：Monitoring model Particle swarm optimization algorithm Earth rock dam Lagging effect Typhoon Seepage pressure Mutation factor Piezometric level 

摘      要：Extreme hydrological events induced by typhoons in reservoir areas have presented severe challenges to the safe operation of hydraulic structures. Based on analysis of the seepage characteristics of an earth rock dam, a novel seepage safety monitoring model was constructed in this study. The nonlinear influence processes of the antecedent reservoir water level and rainfall were assumed to follow normal distributions. The particle swarm optimization （PSO） algorithm was used to optimize the model parameters so as to raise the fitting accuracy. In addition, a mutation factor was introduced to simulate the sudden increase in the piezometric level induced by short-duration heavy rainfall and the possible historical extreme reservoir water level during a typhoon. In order to verify the efficacy of this model, the earth rock dam of the Siminghu Reservoir was used as an example. The piezometric level at the SW1-2 measuring point during Typhoon Fitow in 2013 was fitted with the present model, and a corresponding theoretical expression was established. Comparison of fitting results of the piezometric level obtained from the present statistical model and traditional statistical model with monitored values during the typhoon shows that the present model has a higher fitting accuracy and can simulate the uprush feature of the seepage pressure during the typhoon perfectly.