首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于总体经验模态分解的水文序列多尺度分析
引用本文:邵骏,吕孙云,钱晓燕,袁鹏.基于总体经验模态分解的水文序列多尺度分析[J].华中科技大学学报(自然科学版),2011,39(11):105-108,124.
作者姓名:邵骏  吕孙云  钱晓燕  袁鹏
作者单位:1. 长江水利委员会水文局,湖北武汉430010/四川大学水利水电学院,四川成都610065
2. 长江水利委员会水文局,湖北武汉430010/武汉大学水利水电学院,湖北武汉430072
3. 四川大学水利水电学院,四川成都,610065
基金项目:国家自然科学基金资助项目(40901022)
摘    要:为解决模态混叠问题,将总体经验模态分解方法应用于水文时间序列的多尺度研究中.将白噪声加入原始序列,经过总体经验模态分解后得到固有模态函数,通过对结果进行显著性检验并最终得到水文时间序列主要振荡周期、中心频率、平均振幅等信息.通过对黄河三门峡水文站实测天然年径流序列进行分析,发现总体经验模态分解能够较好地解决模态混叠现象...

关 键 词:水文序列  总体经验模态分解  模态混叠  希尔波特-黄变换  多尺度分析

Multi-scale analysis of hydrological series using ensemble empirical mode decomposition
Shao Jun, L Sunyun, Qian Xiaoyan Yuan Peng.Multi-scale analysis of hydrological series using ensemble empirical mode decomposition[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2011,39(11):105-108,124.
Authors:Shao Jun  L Sunyun  Qian Xiaoyan Yuan Peng
Institution:Shao Jun1,2 L Sunyun1,3 Qian Xiaoyan2 Yuan Peng2(1 Bureau of Hydrology,Changjiang Water Resources Commision,Wuhan 430010,China,2 College of Water Resources and Hydropower,Sichuan University,Chengdu 610065,3 College of Water Resources and Hydropower Engineering,Wuhan University,Wuhan 430072,China)
Abstract:The ensemble empirical mode decomposition was used for the multi-scale analysis of hydrological time series.Through this approach,the white noise-added data could be decomposed into several intrinsic mode function components.The main oscillation period,center frequency and mean amplitude were extracted through the significance test.This method was applied to analyze the natural runoff hydrological sequence of Yellow River Sanmen Gorge Station.The results show that the mode mixing problem could be solved by ...
Keywords:hydrology sequence  ensemble empirical mode decomposition(EEMD)  mode mixing  Hilbert-Huang transform  multi-scale analysis  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号