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  5. Time-resolved seismic tomography detects magma intrusions at Mt. Etna
 
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Time-resolved seismic tomography detects magma intrusions at Mt. Etna

Author(s)
Patanè, D.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Barberi, G.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Cocina, O.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
De Gori, P.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Chiarabba, C.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Language
English
Status
Published
Peer review journal
Yes
Journal
Science  
Issue/vol(year)
/313 (2006)
Publisher
American Association for the Advancement of Science
Pages (printed)
821-823
Date Issued
2006
DOI
10.1126/science.1127724
Alternative Location
www.sciencemag.org/cgi/content/full/313/5788/821/DC1
URI
https://www.earth-prints.org/handle/2122/2197
Subjects
04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes  
04. Solid Earth::04.06. Seismology::04.06.07. Tomography and anisotropy  
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring  
Subjects

NONE

Abstract
The continuous volcanic and seismic activity at Mount Etna makes this volcano an important
laboratory for seismological and geophysical studies. We used repeated three-dimensional
tomography to detect variations in elastic parameters during different volcanic cycles, before and
during the October 2002–January 2003 flank eruption. Well-defined anomalous low P- to S-wave
velocity ratio volumes were revealed. Absent during the pre-eruptive period, the anomalies trace
the intrusion of volatile-rich (Q4 weight percent) basaltic magma, most of which rose up only a few
months before the onset of eruption. The observed time changes of velocity anomalies suggest that
four-dimensional tomography provides a basis for more efficient volcano monitoring and shortand
midterm eruption forecasting of explosive activity.
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29. We thank T. Caltabiano for SO2 flux data and anonymous
referees for helpful comments and suggestions on the
manuscript. This work was supported by grants from the
European Union VOLUME FP6-2004-Global-3 and INGV–
Department of Civil Protection V3/6 projects.
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