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| Titel |
Seismo-ionospheric coupling correlation analysis of earthquakes in Greece, using empirical mode decomposition |
| VerfasserIn |
G. S. Tsolis, T. D. Xenos |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 16, no. 1 ; Nr. 16, no. 1 (2009-02-19), S.123-130 |
| Datensatznummer |
250013093
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| Publikation (Nr.) |
 copernicus.org/npg-16-123-2009.pdf |
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| Zusammenfassung |
| Ionospheric variability as a result of earthquake events is a confirmed
phenomenon as published in various seismo-ionospheric coupling studies.
Generally, ionospheric variations resulting from earthquake activity are
much weaker than disturbances generated by different sources, e.g.
geomagnetic storms. However, geomagnetic storm disturbances exhibit more
global behaviour, whereas seismo-ionospheric variations occur only locally
in an area that is specified by the magnitude of the earthquake.
Cross-correlation coefficient analysis is a technique proposed some years
ago, and ensures cancelation of geomagnetic storm variations of the
ionospheric plasma, provided that the measurements are taken from stations
with similar behaviour in these phenomena. In this paper we will use the
aforementioned technique for analyzing data from ionospheric stations in
Rome and Athens, and apply it to a series of earthquakes in Greece.
Considering the local behaviour of the seismo-ionospheric variations, we
expect that the Athens station, which happens to be inside the area affected
by the earthquake, will accurately capture the disturbances. Due to its
distance from the activity, we also do not expect the Rome station
measurements to be affected by the seismic events in Greece. In addition,
due to the fact that ionospheric plasma parameters exhibit non-stationary
and nonlinear behaviour, we propose a novel signal processing technique
known as the Hilbert-Huang transform in order to denoise the data before we
calculate the cross-correlation coefficient of the two signals. Results from
our analysis are in accordance with previously-conducted studies covering
the same topic, clearly demonstrating that there are ionospheric precursors
1 to 7 days prior to strong seismic events as well as 1 to 2 days following
such events. |
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