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极大熵谱在径流时间序列周期分析中的应用
引用本文:赵雪花,黄强,吴建华.极大熵谱在径流时间序列周期分析中的应用[J].太原理工大学学报,2007,38(6):540-542,550.
作者姓名:赵雪花  黄强  吴建华
作者单位:1. 太原理工大学,水利科学与工程学院,山西,太原,030024
2. 西安理工大学,水电学院,陕西,西安,710048
基金项目:山西省青年科研项目;山西省自然科学基金
摘    要:针对年径流序列存在多年变化周期,但径流时间序列变化受诸多因素影响,存在着多种不确定性的情况,笔者采用极大熵谱分析来提取径流时间序列的周期成分,对黄河上游贵德站年径流时间序列进行周期分析,得出贵德站具有12.5,5.9,4和3年的主周期。结果证明该方法可行,同时其结论为研究径流预测提供了科学的依据。

关 键 词:极大熵  波谱分析  年径流  不确定性
文章编号:1007-9432(2007)06-0540-03
修稿时间:2007-03-25

The Application of Maximum Entropy Spectrum in the Periodic Analysis of Runoff Time Serial
ZHAO Xue-hua,HUANG Qiang,WU Jian-hua.The Application of Maximum Entropy Spectrum in the Periodic Analysis of Runoff Time Serial[J].Journal of Taiyuan University of Technology,2007,38(6):540-542,550.
Authors:ZHAO Xue-hua  HUANG Qiang  WU Jian-hua
Institution:1. College of Water Resource Science and Engineering of TUT , Taiyuan 030024, China; 2. Institute of Water Resource and Hydroelectric ,Xi~ an University of Technology, Xi~ an 710048,China
Abstract:This paper applies maximum entropy spectrum analysis to extract periodic component of runoff time serial, the analysis and calculation are conducted in combination with a real example of annual runoff series at the Guide station in the upper of Yellow River, and the result shows that annual runoff has 12.5, 5.9, 4 and 3 years significant periods at the Guide station. The conclusion illustrates the feasibility of this method and provides scientific data for runoff forecasting.
Keywords:maximum entropy spectrum  wave spectrum analysis  annual runoff  uncertainty
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