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| Titel |
Analysis of daily river flow fluctuations using empirical mode decomposition and arbitrary order Hilbert spectral analysis |
| VerfasserIn |
Y. X. Huang, F. G. Schmitt, Z. M. Lu, Y. L. Liu |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250023070
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| Zusammenfassung |
| In this work, we present the analysis of two long time series of daily river flow
data, 32 years recorded in the Seine river (France), and 25 years recorded in the
Wimereux river (Wimereux, France). We apply a scale based decomposition method,
namely Empirical Mode Decomposition (EMD), on these time series. The data are
decomposed into several Intrinsic Mode Function (IMF). The mean frequency of
each mode indicates that the EMD method acts as a filter bank. Furthermore, the
cross-correlation between these IMF modes from the Seine river and the Wimereux
river demonstrates strong correlation among the large scale IMF modes, which
indicates that both rivers are influenced by the same events. We also find that the
large scale parts have the same evolution trend. We finally apply arbitrary order
Hilbert spectral analysis (Huang et al. EPL, 2008), a new technique coming from
turbulence studies and time series analysis, on the flow of the Seine river. This
new method provides on amplitude-frequency representation of the original time
series, giving a joint pdf p(ω,A). When marginal moments of the amplitude are
computed, one obtains an intermittency study in the frequency space. Applied to
river flow discharge data from the Seine river, this shows the scaling range and
characterizes the intermittent fluctuations over the range of scales from 4.5 day to 60
days.
Reference
Huang Y.X., Schmitt F. G., Lu Z.M. And Liu Y.L. An amplitude-frequency study of
turbulent scaling intermittency using Hilbert spectral analysis Europhys. Lett. 2008, 84:
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