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| Titel |
Wavelet maxima curves of surface latent heat flux associated with two recent Greek earthquakes |
| VerfasserIn |
G. Cervone, M. Kafatos, D. Napoletani, R. P. Singh |
| 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 ; 4, no. 3 ; Nr. 4, no. 3 (2004-05-28), S.359-374 |
| Datensatznummer |
250001688
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| Publikation (Nr.) |
 copernicus.org/nhess-4-359-2004.pdf |
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| Zusammenfassung |
| Multi sensor data available through remote sensing satellites provide
information about changes in the state of the oceans, land and atmosphere.
Recent studies have shown anomalous changes in oceans, land, atmospheric and
ionospheric parameters prior to earthquakes events. This paper introduces an
innovative data mining technique to identify precursory signals associated
with earthquakes. The proposed methodology is a multi strategy approach which
employs one dimensional wavelet transformations to identify singularities in
the data, and an analysis of the continuity of the wavelet maxima in time and
space to identify the singularities associated with earthquakes. The proposed
methodology has been employed using Surface Latent Heat Flux (SLHF) data to
study the earthquakes which occurred on 14 August 2003 and on 1 March 2004 in
Greece. A single prominent SLHF anomaly has been found about two weeks prior
to each of the earthquakes. |
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