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| Titel |
Natural time analysis: An overview. |
| VerfasserIn |
N. V. Sarlis, E. S. Skordas, M. S. Lazaridou, P. A. Varotsos |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250065672
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| Zusammenfassung |
| Natural time, first brought forward a decade ago [1,2], has been recently reviewed [3]. It
enables the identification of novel dynamical features hidden behind the time series of
complex systems. Upon employing natural time, modern techniques of statistical physics in
time series analysis (for example, Hurst analysis, the detrended fluctuation analysis,
multifractal detrended fluctuation analysis, wavelet transform etc.) yield improved
results.
Natural time analysis has been shown to extract the maximum information possible in the
study of the dynamical evolution of a complex system. It identifies when a system enters a
critical stage. Hence, it plays a key role in predicting catastrophic events in general. We
review a series of such examples including the analysis of avalanches of the penetration of
magnetic flux into thin films of high Tc superconductors, the identification of sudden cardiac
death risk, the recognition of electric signals that precede earthquakes and the determination
of the time of an impending mainshock. In particular, we review cases of major earthquakes
that occurred in Greece[4-7] and California[6-8] as well as discuss more recent
results.
REFERENCES
[1] P. A. Varotsos, N. V. Sarlis, and E. S. Skordas, Practica of Athens Academy 76, 294
(2001).
[2] P. A. Varotsos, N. V. Sarlis, and E. S. Skordas, Phys. Rev. E 66, 011902
(2002).
[3] P. A. Varotsos, N. V. Sarlis, and E. S. Skordas, NATURAL TIME ANALYSIS: THE
NEW VIEW OF TIME. Precursory Seismic Electric Signals, Earthquakes and other Complex
Time Series, Springer-Verlag, Berlin Heidelberg (2011).
[4] N.V. Sarlis, E.S. Skordas, M.S. Lazaridou, and P.A. Varotsos, Proc. Jpn. Acad., Ser. B
84, 331-343 (2008)
[5] S Uyeda, and M. Kamogawa, Eos Trans. AGU 89, 363 (2008).
[6] N. V. Sarlis, E. S. Skordas, and P. A. Varotsos, EPL 91, 59001 (2010).
[7] P.A. Varotsos, N. V. Sarlis, E. S. Skordas, EPL 92, 59002 (2011).
[8] P.A. Varotsos, N. V. Sarlis, E. S. Skordas, S. Uyeda and M. Kamogawa, EPL 92,
29002 (2010). |
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