NDLI: Testing for chaos of Yangtze River streamflow at different timescales

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Organizing committee

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Testing for chaos of Yangtze River streamflow at different timescales

A new method in the long-term mortality related With heart valve replacement

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A novel approach for Web data extraction based on XML encoding

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Volume 4 - 2010

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2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)

Testing for chaos of Yangtze River streamflow at different timescales

Content Provider	IEEE Xplore Digital Library
Author	Qiang Tang TieSong Hu
Copyright Year	2010
Description	Author affiliation: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, China (TieSong Hu) \|\| College of Science, Wuhan Textile University, China (Qiang Tang)
Abstract	In this paper, the existence of low-dimensional chaos is investigated for the streamflow series of different timescales, namely, one day, 1/3-month, one month and three month, of Yangtze River streamflow process with correlation dimension method. After reconstructing state space, we calculated the correlation integral. Then, the Takens-Theiler estimator is used to correctly estimate the correlation dimension. It is found that the Takens-Theiler estimates curves are not exist plateau region, which indicates that the streamflow series of various time scales of Yangtze River streamflow process are non-chaotic.
Starting Page	2152
Ending Page	2154
File Size	207562
Page Count	3
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Hydrology Correlation Time series analysis Rivers Delay Testing
Content Type	Text
Resource Type	Article

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