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应用科学学报 ›› 2002, Vol. 20 ›› Issue (4): 426-428.

• 研究简报 • 上一篇    下一篇

小波分析在水文序列趋势分析中的应用

薛小杰1, 蒋晓辉1, 黄强1, 王煜1,2   

  1. 1. 西安理工大学水利水电学院, 陕西西安 710048;
    2. 黄委会勘察规划设计研究院, 河南郑州 450003
  • 收稿日期:2001-09-07 修回日期:2001-10-24 出版日期:2002-12-31 发布日期:2002-12-31
  • 作者简介:薛小杰(1973-),男,陕西扶风人,博士生;黄强(1958-),男,四川梓潼人,教授,博导.
  • 基金资助:
    国家自然科学基金资助项目(50079021);国家重点基础研究发展规划项目(G19990436)

The Application of Wavelet Analysis in Hydrological Sequence Trend Analysis

XUE Xiao-jie1, JIANG Xiao-hui1, HUANG Qiang1, WANG Yu1,2   

  1. 1. College of Hydraulic and Electric Engineering, Xi'an university of technology, Xi'an 710048, China;
    2. Reconnaissance, Planning, Design, Research Institute, YRCC, Zhengzhou 450003, China
  • Received:2001-09-07 Revised:2001-10-24 Online:2002-12-31 Published:2002-12-31

PDF

189

被引次数

120

摘要： 根据水文时间序列的频率分布特性,运用小波分析将不同频率成分组成时间序列按尺度分解成低频和高频成分,然后依据小波系数的重构原理还原时间序列的趋势成分,从而可以判断水文时间序列的趋势变化.以黄河上中下游四个水文站的实测年径流序列为例进行了研究,研究结果表明多分辨分析用于水文时间序列趋势分析是合理可行的.

关键词: 小波分析, 黄河, 趋势变化, 时间序列

Abstract: We decompose the hydrological sequence made of different frequencies into the low and high frequencies in the multi-resolution analysis according to the characteristic of hydrological sequence frequencies and then restore the deoxidize trend components according to the reconstruct principle of wavelet coefficients, in order to judge the hydrological sequence trend. The result of a study based on the gauged yearly flow of the Yellow River, shows that the mode is feasible.

Key words: evolution trend, time sequence, wavelet analysis, Yellow River

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