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| Titel |
Joint analysis of infrasound and seismic signals by cross wavelet transform: detection of Mt. Etna explosive activity |
| VerfasserIn |
A. Cannata, P. Montalto, D. Patanè |
| 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 (2013-06-26), S.1669-1677 |
| Datensatznummer |
250018508
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| Publikation (Nr.) |
 copernicus.org/nhess-13-1669-2013.pdf |
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| Zusammenfassung |
| The prompt detection of explosive volcanic activity is crucial since this
kind of activity can release copious amounts of volcanic ash and gases into
the atmosphere, causing severe dangers to aviation. In this work, we show how
the joint analysis of seismic and infrasonic data by wavelet transform
coherence (WTC) can be useful to detect explosive activity, significantly
enhancing its recognition that is normally done by video cameras and thermal
sensors. Indeed, the efficiency of these sensors can be reduced (or
inhibited) in the case of poor visibility due to clouds or gas plumes. In
particular, we calculated the root mean square (RMS) of seismic and
infrasonic signals recorded at Mt. Etna during 2011. This interval was
characterised by several episodes of lava fountains, accompanied by lava
effusion, and minor strombolian activities. WTC analysis showed significantly
high values of coherence between seismic and infrasonic RMS during explosive
activity, with infrasonic and seismic series in phase with each other, hence
proving to be sensitive to both weak and strong explosive activity. The WTC
capability of automatically detecting explosive activity was compared with
the potential of detection methods based on fixed thresholds of seismic and
infrasonic RMS. Finally, we also calculated the cross correlation function
between seismic and infrasonic signals, which showed that the wave types
causing such seismo-acoustic relationship are mainly incident seismic and
infrasonic waves, likely with a common source. |
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