Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10160
AuthorsAzzaro, R.* 
D'Amico, S.* 
Tuvè, T.* 
TitleSeismic hazard assessment in the volcanic region of Mt. Etna (Italy): a probabilistic approach based on macroseismic data applied to volcano-tectonic seismicity
Issue Date2016
Series/Report no.7/14 (2016)
DOI10.1007/s10518-015-9806-2
URIhttp://hdl.handle.net/2122/10160
KeywordsVolcano-tectonic earthquakes
Macroseismic intensity
Seismic history
Attenuation models
Exceedance probability
Seismic hazard
Mt. Etna
Italy
Subject Classification04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk 
AbstractIn the framework of the UPStrat-MAFA project, a seismic hazard assessment has been undertaken in the volcanic region of Mt. Etna as a first step in studies aimed at evaluating the risk on an urban scale. The analysis has been carried out with the SASHA code which uses macroseismic data in order to calculate, starting from the site seismic history, the maximum intensity value expected in a given site with a probability of exceedance of 10 % (Iref), for a fixed exposure time. Depending on the aims of the project, hazard is estimated for local volcano-tectonic seismicity and short exposure times (10 and 30 years), without taking into account the contribution of ‘‘regional’’ events characterized by much longer recurrence times. Results from tasks A, B and D of the project have produced an updated macroseismic dataset, better performing attenuation models and new tools for SASHA, respectively. The maps obtained indicate that the eastern flank of Etna, the most urbanized sector of the volcano, is characterized by a high level of hazard with Iref values up to degree VIII EMS, and even IX EMS locally. The disaggregated data analysis allows recognizing the ‘‘design earthquake’’ and the seismogenic fault which most contribute to the hazard at a site-scale. The latter analysis is the starting point to select the scenario earthquake to be used in the analyses of tasks C and F of the project dealing with, respectively, synthetic ground motion simulations and the evaluation of the Disruption Index.
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