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Conference object . 2019 . Peer-reviewed
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Moment tensor solutions at Mt Etna Volcano, southern Italy

Authors: D'Amico, Sebastiano; Scarfi, Luciano; Alparone, Salvatore; Cannavo, Flavio; Langer, Horst K.; Tusa, Giuseppina; AGU Fall Meeting 2019;

Moment tensor solutions at Mt Etna Volcano, southern Italy

Abstract

In a volcano, seismic events can be related to multiple processes, such as brittle fracture, fluid flow, mass transport and volumetric changes. Therefore, seismic signal analysis and an adequate characterization of the seismic source is usually performed to monitor its activity and to provide a reliable understanding of its internal processes. The earthquake source can be successfully studied through the seismic moment tensor computation, which also provides additional hints about non-double couple components of the acting forces. However, this kind of measurement in a volcanic environment is a difficult task due to the complexities of the structural model, to the wave propagation effects and to the presence of noise in the data. On December 24, 2018 an intense seismic sequence preceded and accompanied the beginning of a flank eruption at Mt. Etna volcano (Italy). The relevant seismicity and the large ground deformation (Bonforte et al., 2019) are a clear evidence of the impressive dynamics that characterized the volcano during this last eruption which, despite the low volume of magma poured out, can be considered one of the most important ones of the last 30 years. In this study, we analysed the Etnean seismicity and calculated the complete moment tensor of a selection of earthquakes recorded by the broad-band network of INGV-CT during the last eruption, with the aim of providing new insights into the eruption dynamics. In particular, we investigated the source mechanisms and the possible involvement of magmatic fluids.

peer-reviewed

Country
Malta
Related Organizations
Keywords

Earthquake intensity -- Italy, Volcanic eruptions -- Research, Etna, Mount (Italy), Magmatism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green