Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/14964
Authors: Pessina, Vera* 
Meroni, Fabrizio* 
Azzaro, Raffaele* 
D'Amico, Salvatore* 
Title: Applying Simulated Seismic Damage Scenarios in the Volcanic Region of Mount Etna (Sicily): A Case-Study From the MW 4.9, 2018 Earthquake
Journal: Frontiers in Earth Science 
Series/Report no.: /9 (2021)
Publisher: Frontiers Media SA
Issue Date: 10-May-2021
DOI: 10.3389/feart.2021.629184
URL: https://www.frontiersin.org/articles/10.3389/feart.2021.629184/full
Keywords: volcano seismicity
macroseismic survey
intensity data
seismic scenario
building vulnerability
damage scenario
Mt. Etna
Subject Classification05.08. Risk 
Abstract: An application for a quick earthquake damage scenario assessment is here presented as a potential tool for planning prevention actions or managing seismic emergencies in the volcanic region of Mt. Etna (Italy). As case-study, we considered the December 26, 2018 earthquake that, with a magnitude MW 4.9, represents the largest event occurring in the area during the last 70 years. The QUEST working group (the INGV macroseismic team) carried out a detailed survey in the damage area, collecting data on the number of buildings in the different vulnerability classes and related damage, with the aim to assign intensity. The maximum intensity reached degree VIII EMS along a narrow strip extending for 5 km astride the Fiandaca fault. In this paper, we simulated the damage scenario in the most struck municipalities of the epicentral area by testing different methodological approaches proposed in the literature using the information of the ISTAT census data collected by the Italian Institute of Statistics. We evaluated the damage level of the residential buildings and we validated the results comparing with the real damage data recognized in the field. Our analysis highlighted the difficulty of applying methods calibrated for larger earthquakes in tectonic domains, to small magnitude events in volcanic zones, where some operating assumptions must be introduced. Despite this, the results confirm the potential of the simulations based on statistical damage assessment methods also in these peculiar conditions, opening the way to finalized plans of pre- and post-earthquake interventions.
Description: origonal paper
Appears in Collections:Article published / in press

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