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基于极大熵谱估计的径流周期分析
引用本文:李保琦,袁鹏,马妍博.基于极大熵谱估计的径流周期分析[J].西南民族学院学报(自然科学版),2014(1):120-123.
作者姓名:李保琦  袁鹏  马妍博
作者单位:四川大学水利水电学院,成都610065
摘    要:目的:探索河川径流的周期波动性,揭示河川的径流的丰枯交替以及干枯或洪峰的规律,进而计算出全局性的主要周期,从而达到反应河川径流整体特性的目的.方法:运用极大熵谱法,经基于Burg算法的AIC准则来选择模型参数,分析河川径流的主要周期.结果:将极大熵谱分析方法应用于后河径流演化规律分析中,结果显示:后河具有5年的显著周期.结论:极大熵谱分析法分辨率高,也可为未来总结、预测年径流变化的规律奠定基础.

关 键 词:极大熵谱  径流周期  年净流量

Application of maximum entropy method in the analysis of hydrologic period
LI Bao-qi,YUAN Peng,MA Yan-bo.Application of maximum entropy method in the analysis of hydrologic period[J].Journal of Southwest Nationalities College(Natural Science Edition),2014(1):120-123.
Authors:LI Bao-qi  YUAN Peng  MA Yan-bo
Institution:(School of Water Resource & Hydropower EngiLneering, Sichuan University, Chengdu 610065, P.R.C.)
Abstract:Objective: To explore the period of runoff and reflect the law of water shortage and flood peak, and to calculate the period of runoff in order to observe the runoff's integrality. Method: By using the maximum entropy method to analyze the period chosen parameter by the criterion of AIC. Result: The period of Houhe is 5 years. Conclusion: The method has a higher resolution ratio and it can provide a better way to tbrc~ast the law of runoff in the t'hture.
Keywords:maximum entropy  period ofrunoff  annual runoff
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