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| Titel |
Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques |
| VerfasserIn |
W. Astuti, W. Sediono, R. Akmeliawati, A. M. Aibinu, M. J. E. Salami |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 6 ; Nr. 13, no. 6 (2013-06-28), S.1679-1686 |
| Datensatznummer |
250018509
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| Publikation (Nr.) |
 copernicus.org/nhess-13-1679-2013.pdf |
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| Zusammenfassung |
| An earthquake is one of the most destructive natural disasters that can
occur, often killing many people and causing large material losses. Hence, the ability to
predict earthquakes may reduce the catastrophic effects caused by this
phenomenon. The geoelectric field is a feature that can be used to
predict earthquakes (EQs) because of significant changes in the
amplitude of the signal prior to an earthquake. This paper presents a
detailed analysis of geoelectric field signals of earthquakes which occurred
in 2008 in Greece. In 2008, 12 earthquakes occurred in Greece. Five of
them were recorded with magnitudes greater than Ms = 5R (5R), while seven of
them were recorded with magnitudes greater than Ms = 6R (6R). In the
analysis, the 1st significant changes of the geoelectric field signal
are detected. Then, the signal is segmented and windowed. The adaptive short-time Fourier transform (adaptive STFT) technique is then applied to the windowed
signal, and the spectral analysis is performed thereafter. The results show that
the 1st significant changes of the geoelectric field prior to an
earthquake have a significant amplitude frequency spectrum compared to other
conditions, i.e. normal days and the day of the earthquake, which can be used
as input parameters for earthquake prediction. |
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