2011
DOI: 10.1007/s00445-011-0456-1
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Evidence of multiple strain fields beneath the eastern flank of Mt. Etna volcano (Sicily, Italy) deduced from seismic and geodetic data during 2003–2004

Abstract: We carried out a study of the seismicity and ground deformation occurring on Mt. Etna volcano after the end of the 2002-2003 eruption and before the onset of the 2004-2005 eruption. Data were recorded by the permanent local seismic network run by Istituto Nazionale di Geofisica e Vulcanologia -Sezione di Catania and by geodetic surveys carried out in July 2003 and July 2004 on the GPS network.Most earthquakes were grouped in two main clusters located in the northeastern and southeastern sectors of the volcano.… Show more

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Cited by 37 publications
(19 citation statements)
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“…[51,52]). , it was more deeper than the detachment surface of the eastern flank [22] and seems to have tectonic features rather than volcanic. An analysis of tilt data help to exclude the presence of magma.…”
Section: Discussionmentioning
confidence: 91%
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“…[51,52]). , it was more deeper than the detachment surface of the eastern flank [22] and seems to have tectonic features rather than volcanic. An analysis of tilt data help to exclude the presence of magma.…”
Section: Discussionmentioning
confidence: 91%
“…A local stress, induced by the recharge that preceded the Mt. Etna 2001 eruption [22], is the most reliable source of the dislocation. The variations recorded between 03:00 and 3:30 at the three tilt stations (Fig.…”
Section: Discussionmentioning
confidence: 99%
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“…The ground deformation here analyzed has been previously described in terms of displacements of the measurement stations (Bonforte et al, 2008Bonaccorso et al, 2011Bonaccorso et al, , 2015. Conversely, here we calculate the horizontal strain tensor components by the GridStrain routine developed by Pesci and Teza (2007), already used for investigating the surface deformation of the eastern flank of Etna by Alparone et al (2011). This algorithm allows us to analyse the strain tensor distribution over an area covered by a geodetic network, starting from station displacements.…”
Section: Geodetic Datamentioning
confidence: 99%