Analysis of Chaotic Characters for the Monthly Runoff Se-ries at Fudedian Station in Liaohe Bain

Haiying Hu, Huamao Huang

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.

DOI: 10.4236/epe.2013.54B009                

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.

Keywords

Chaos Analysis; Saturated Correlation Dimension; Principal Component Analysis; Monthly Runoff Series

Conflicts of Interest

The authors declare no conflicts of interest.

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