摘要
Hilbert-Huang变换能够定量描述非线性、非平稳、弱相依、高度复杂时间序列的时频特性,较传统的时间序列分析方法更具优势。通过对时间序列进行EMD分解,得出其演化过程的内在模函数和趋势项,并对内在模函数做Hilbert-Huang变换,获得序列的变化周期。以汉江上游的两个代表水文站——石泉和安康水文站的年最大洪峰流量为例分析,石泉站年最大洪峰流量变化存在3.06年、7.11年和24.98年的周期,安康站年最大洪峰流量变化存在3.01年、6.07年、15.97年和29.65年的周期,且两站的年最大洪峰流量序列呈降低的趋势。
Compared with traditional analytical method of time series,Hilbert-Huang Transform has advantages to quantitatively describe time-frequency characteristics for nonlinear,unsteady,weak-dependency and highly complex time series.Empirical Mode Decomposition (EMD) method is adopted to analyze time series and Intrinsic Mode Function (IMF) and trend term are obtained. Then,Hilbert transform is made for each IMF.Taking two of the typical hydrological stations:Shiquan and Ankang stations in the upper Hanjiang River as examples,periods analysis of IMF show that annual maximum peak flood of Shiquan station has periods of 3.06,7.11 and 24.98 years.Annual maximum peak flood of Ankang station has periods of 3.01,6.07,15.97 and 29.65 years.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第34期204-207,211,共5页
Computer Engineering and Applications
基金
国家自然科学基金No.50679070
No.50709027
水利部公益性行业科研专项(No.2007SHZ1-19)
教育部重点研究项目(No.209125)
陕西省教育厅科技项目(No.09JK664)~~