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应用科学学报 ›› 2005, Vol. 23 ›› Issue (1): 86-89.

• 论文 • 上一篇    下一篇

基于极大熵的径流变化规律分析研究

赵雪花, 黄强, 王义民   

  1. 西安理工大学水利水电学院, 陕西西安 710048
  • 收稿日期:2003-10-13 修回日期:2004-02-19 出版日期:2005-01-31 发布日期:2005-01-31
  • 作者简介:赵雪花(1974-),女,山西榆社人,博士生,E-mail:Zhaoxh688@163.com;黄强(1958-)男,四川绵阳人,教授,博导,E-mail:Wresh@mail.xaut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(50079021);陕西省重点实验室项目(02JS37)

An Analysis of the Runoff Change Law Based on the Maximum Entropy Spectrum

ZHAO Xue-hua, HUANG Qiang, WANG Yi-min   

  1. Water Resource and Hydropower College, Xi'an University of Technology, Xi'an 710048, China
  • Received:2003-10-13 Revised:2004-02-19 Online:2005-01-31 Published:2005-01-31

PDF

70

被引次数

12

摘要： 讨论了径流时间序列的极大熵谱分析,与传统的谱分析进行了比较,指出了极大熵谱法的高分辨率特性及其在水文学方面的应用前景.对黄河上游兰州站年径流时间序列分析的实例验证表明,兰州站具有11,6.25和3年的主周期,证实了该方法的可行性.

关键词: 时间序列, 极大熵, 年径流, 谱分析

Abstract: This paper discusses the maximum entropy spectrum analysis of runoff time series, compares it with traditional spectrum analysis, and presents the high-resolution character of the maximum entropy spectrum and the prospect of its application in hydrology.The analysis and calculation of the annual runoff time series at Lanzhou station on the upper reaches of the Yellow River, prove that the significant periods of the annual runoff are 11, 6.25 and 3 years at Lanzhou station.The conclusion illustrates the feasibility of this method and provides scientific data for runoff forecasting.

Key words: time series, spectrum analysis, maximum entropy, annual runoff

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