A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods

Applied Mathematical Modelling

Volumn 34, Issue 12, 2010, Pages 4050-4057

  Ghorbani, Mohammad Ali ^a   Kisi, Ozgur ^b   Aalinezhad, Mahdi ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Chaotic indicators; Correlation dimension; Kizilirmak River; Lyapunov exponent; River flow

Indexed keywords

AVERAGE MUTUAL INFORMATION; CHAOTIC INDICATORS; CHAOTIC NATURE; CORRELATION DIMENSIONS; DELAY TIME; EMBEDDING DIMENSIONS; EMBEDDING PARAMETERS; FALSE NEAREST NEIGHBOR; LARGEST LYAPUNOV EXPONENT; LOW CORRELATION; LYAPUNOV EXPONENT; POSITIVE VALUE; RIVER FLOW; RIVER FLOW TIME SERIES;

CORRELATION METHODS; DIFFERENTIAL EQUATIONS; LYAPUNOV FUNCTIONS; RIVERS; STREAM FLOW; TIME SERIES;

LYAPUNOV METHODS;

EID: 77954029070     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2010.03.036     Document Type: Article

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