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基于极大熵的径流变化规律分析研究
引用本文:赵雪花,黄强,王义民.基于极大熵的径流变化规律分析研究[J].应用科学学报,2005,23(1):86-89.
作者姓名:赵雪花  黄强  王义民
作者单位:西安理工大学水利水电学院, 陕西西安 710048
基金项目:国家自然科学基金资助项目(50079021),陕西省重点实验室项目(02JS37)
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  
文章编号:0255-8297(2005)01-0086-04
收稿时间:2003-10-13
修稿时间:2004-02-19

An Analysis of the Runoff Change Law Based on the Maximum Entropy Spectrum
ZHAO Xue-hua,HUANG Qiang,WANG Yi-min.An Analysis of the Runoff Change Law Based on the Maximum Entropy Spectrum[J].Journal of Applied Sciences,2005,23(1):86-89.
Authors:ZHAO Xue-hua  HUANG Qiang  WANG Yi-min
Institution:Water Resource and Hydropower College, Xi'an University of Technology, Xi'an 710048, China
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.
Keywords:maximum entropy  time series  annual runoff  spectrum analysis
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