Fractal analysis of river flow fluctuations
By M. Movahed, E. Hermanis. 2006
156 citations recorded by the source corpus.
We use some fractal analysis methods to study river flow fluctuations. The result of the Multifractal Detrended Fluctuation Analysis (MF-DFA) shows that there are two crossover timescales at s1×∼12 and s2×∼130 months in the fluctuation function. We discuss how the existence of the crossover timescales are related to a sinusoidal trend. The first crossover is due to the seasonal trend and the value of second one is approximately equal to the well-known cycle of sun activity. Using Fourier Detrended Fluctuation Analysis, the sinusoidal trend is eliminated. The values of Hurst exponents of the runoff water of rivers without the sinusoidal trend show a long-range correlation behavior. For the Daugava river, the value of Hurst exponent is 0.52±0.01 and also we find that these fluctuations have multifractal nature. Comparing the MF-DFA results for the remaining data set of Daugava river to those for shuffled and surrogate series, we conclude that its multifractal nature is almost entirely due to the broadness of probability density function.
Subfields: Economics and Econometrics, Molecular Biology, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/b9a365d40863b11dd015615671f8911f5d82da76
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In Economics and Econometrics
- Luciano Zunino
- Osvaldo Anibal Rosso
- F. Serinaldi
- Aurelio Fernández Bariviera
- Rafal Weron
- Jakub Nowotarski
In Molecular Biology
In Statistical and Nonlinear Physics
Citations in the corpus
- Water quality management using statistical analysis and time-series prediction model (2014, background): “It is analyzed that regional climatic models would not be able to predict local climate as it deals with averaged quantities and that precipitation during the southwest monsoon is affected by temperature and pressure variations during the preceding winter (Kahya and Kalayci 2004; McCleary and Hay 19”
- Complexity–entropy analysis of daily stream flow time series in the continental United States (2014, result): “The range of H values is consistent with the results published in the literature for stream flow series from international rivers (Kantelhardt et al. 2006; Wang et al. 2007; Movahed and Hermanis, 2008; Hirpa et al. 2010; Rego et al. 2013).”