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Analysis of Chaotic Characters for the Monthly Runoff Se-ries at Fudedian Station in Liaohe Bain
School of Civil and Transportation Engineering, South China University of Technology, Guangzhou, P. R. China
School of Science, South China University of Technology, Guangzhou, P. R. China
- 1 School of Civil and Transportation Engineering, South China University of Technology, Guangzhou, P. R. China
- 2 School of Science, South China University of Technology, Guangzhou, P. R. China
Energy and Power Engineering·Volume 05 (2013)·Pages 46–50·Published 30 June 2013·DOI10.4236/epe.2013.54B009
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Abstract
The evolution of monthly runoff is affected both by climate environment and human activities, and its characteristics play an important role in runoff prediction and simulation. In this paper, the G-P and the principal component analysis method, which are both based on the reconstruction theory of the phase space, are used to study the chaos characteristics of the monthly runoff series at Fudedian station in Liaohe basin. The results show that the monthly runoff series have a large probability of chaos.
KeywordsChaos AnalysisSaturated Correlation DimensionPrincipal Component AnalysisMonthly Runoff Series
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