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  • 1
    Publication Date: 2011-07-01
    Description: INTRODUCTION The historical activity of Mt. Etna is well documented by a large amount of sources that have reported the seismic and volcanic phenomena occurring on the volcano since the late 1600s (Azzaro et al. 2000; Branca and Del Carlo 2005). Such a large dataset of historical information is not common and is comparable, in Italy, to that of Vesuvius (Giudicepietro et al. 2010). As for long-term seismicity known through macroseismic data, the first release of the historical catalog of Mt. Etna earthquakes from 1832 to 1998 was published ten years ago (hereinafter CMTE catalog) and since then has been regularly updated (CMTE Working Group 2008). With 1,790 earthquakes listed, the CMTE catalog provides an overall picture of the space-time evolution of the major seismicity and possible relationships with past eruptive activity (e.g., Azzaro and Barbano 1996; Azzaro et al. 2001). On the other hand, it was only in 1967 that the first seismograph station was installed at Etna. A complete seismograph network began to operate in the early 1980s with nine short-period analog stations, evolving in the last decade into a broadband digital seismograph network consisting of some 30 stations (Patanè et al. 2004). For a long time, this network has operated without uniform coverage of the volcano, since it was largely aimed at monitoring eruptive activity in the middle-upper parts of Etna; such a situation has meant favoring the macroseismic approach in studying the severely damaging earthquakes that struck the populated slopes of the volcano. As a consequence, this typology of data has been used for defining the seismotectonic features (Azzaro 2004) and seismic hazard of this area (Azzaro et al. 2008). In the seismic catalogs the estimation of magnitude for earthquakes...
    Print ISSN: 0895-0695
    Electronic ISSN: 1938-2057
    Topics: Geosciences
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  • 2
    Publication Date: 2006-08-01
    Print ISSN: 0040-1951
    Electronic ISSN: 1879-3266
    Topics: Geosciences , Physics
    Published by Elsevier
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  • 3
    Publication Date: 2014-08-17
    Description: A new approach in dealing with seismic risk in the volcanic areas of Italy, by taking into account the possible occurrence of damaging pre- or syn-eruptive seismic events, is exciting the scientific interest and is actually the topic developed in several research projects funded by the European Community (e.g., UPStrat-MAFA, www.upstrat-mafa.ov.ingv.it/UPstrat/) and the Civil Defense Department of Italy. To achieve this goal, it is necessary to have a detailed knowledge of the local attenuation-distance relations. In the present paper, we make a survey of the estimates of the seismic quality factor of the medium reported in literature for the Etna area. In the framework of a similar paper published for the Campi Flegrei zone in Southern Italy, we first review the results on seismic attenuation already obtained for Etna and then apply a standard technique to separately measure intrinsic and scattering attenuation coefficients from passive seismic data recorded by the Etna seismological network. Indications are then given for the correct utilization of the attenuation parameters to obtain the best candidate quality factor Q to be used in this area for seismic risk purposes. © 2014, Springer Science+Business Media Dordrecht.
    Print ISSN: 1383-4649
    Electronic ISSN: 1573-157X
    Topics: Geosciences , Physics
    Published by Springer
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  • 4
    Publication Date: 2018-05-09
    Description: The Peloritani region is one of the most seismically active regions in Italy and, consequently, the quantification of attenuation of the medium plays an important role for seismic risk evaluation. Moreover, it is necessary for the prediction of earth ground motion and future seismic source studies. An in depth analysis has been made here to understand the frequency and lapse time dependence of attenuation characteristics of the region by using the coda of local earthquakes. A regionalization is likewise performed in order to investigate the spatial variation of coda Q across the whole region. Finally, our results are jointly interpreted with those obtained from recently published 3D velocity tomographies for further insights. © 2018, Springer Science+Business Media B.V., part of Springer Nature.
    Print ISSN: 1383-4649
    Electronic ISSN: 1573-157X
    Topics: Geosciences , Physics
    Published by Springer
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  • 5
    Publication Date: 2017-04-05
    Description: The volcanic region of Mt Etna (Sicily, Italy) represents a perfect lab for testing innovative approaches to seismic hazard assessment, given the availability of a long record of historical and recent observations of seismic and tectonic phenomena, the high quality of various geophysical monitorings and especially because the very fast geodynamics clearly demonstrate some seismotectonic processes. We present here the model components and the procedures adopted for defining seismic sources to be used in a new generation of Probabilistic Seismic Hazard Assessment (PSHA) whose first results and maps are presented in a companion paper, Peruzza et al. (2017). The sources include, in a picture of increasing complexity, area seismic zones, individual faults and gridded point sources that are obtained by integrating geological field data with long and short earthquake datasets (the historical macroseismic catalogue that covers about three centuries, and a high-quality instrumental locations database for the last decades). The analysis of the frequency-magnitude distribution identifies two main fault systems within the volcanic complex featuring different seismic rates that are controlled essentially by volcano-tectonic processes. We discuss the variability of the mean occurrence times of major earthquakes along the main Etnean faults by using an historical approach and a purely geologic method. We derive a magnitude-size scaling relationship specific for this volcanic area, which was has been implemented into a recently developed software tool – FiSH, Pace et al. (2015) – which we use to calculate the characteristic magnitudes and the related mean recurrence times expected for each fault. Results suggest that for Mt Etna area, the traditional assumptions of uniform and Poissonian seismicity can be relaxed; a time-dependent fault-based modelling, joined with a 3D imaging of volcano-tectonic sources depicted by the recent instrumental seismicity, can be therefore implemented in PSHA maps. They can be relevant for the retrofitting of the existing building stock, and for driving risk reduction interventions. These analyses do not account regional M 〉 6 seismogenic sources which dominate the hazard at long exposure times (≥ 50 yrs).
    Electronic ISSN: 2195-9269
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 6
    Publication Date: 2017-11-22
    Description: The volcanic region of Mt. Etna (Sicily, Italy) represents a perfect lab for testing innovative approaches to seismic hazard assessment. This is largely due to the long record of historical and recent observations of seismic and tectonic phenomena, the high quality of various geophysical monitoring and particularly the rapid geodynamics clearly demonstrate some seismotectonic processes. We present here the model components and the procedures adopted for defining seismic sources to be used in a new generation of probabilistic seismic hazard assessment (PSHA), the first results and maps of which are presented in a companion paper, Peruzza et al. (2017). The sources include, with increasing complexity, seismic zones, individual faults and gridded point sources that are obtained by integrating geological field data with long and short earthquake datasets (the historical macroseismic catalogue, which covers about 3 centuries, and a high-quality instrumental location database for the last decades). The analysis of the frequency–magnitude distribution identifies two main fault systems within the volcanic complex featuring different seismic rates that are controlled essentially by volcano-tectonic processes. We discuss the variability of the mean occurrence times of major earthquakes along the main Etnean faults by using an historical approach and a purely geologic method. We derive a magnitude–size scaling relationship specifically for this volcanic area, which has been implemented into a recently developed software tool – FiSH (Pace et al., 2016) – that we use to calculate the characteristic magnitudes and the related mean recurrence times expected for each fault. Results suggest that for the Mt. Etna area, the traditional assumptions of uniform and Poissonian seismicity can be relaxed; a time-dependent fault-based modeling, joined with a 3-D imaging of volcano-tectonic sources depicted by the recent instrumental seismicity, can therefore be implemented in PSHA maps. They can be relevant for the retrofitting of the existing building stock and for driving risk reduction interventions. These analyses do not account for regional M  〉  6 seismogenic sources which dominate the hazard over long return times (≥ 500 years).
    Print ISSN: 1561-8633
    Electronic ISSN: 1684-9981
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 7
  • 8
    Publication Date: 2021-01-11
    Description: The Disruption Index is used here for the assessment of urban disruption in the Mt. Etna area after a natural disaster. The first element of the procedure is the definition of the seismic input, which is based on information about the historical seismicity and seismogenic faults. The second element is the computation of the seismic impact on the building stock and infrastructure in the region considered. Information on urban-scale vulnerability was collected and a geographic information system was used to organize the data relating to buildings and network systems (e. g., typologies, schools, strategic structures, lifelines). The central idea underlying the definition of the Disruption Index is the identification and evaluation of the impacts on a target community, considering the physical elements that contribute most to the severe disruption. The results of this study are therefore very useful for earthquake preparedness planning and for the development of strategies to minimize the risks from earthquakes. This study is a product of the European “Urban Disaster Prevention Strategies using Macroseismic Fields and Fault Sources” project (UPStrat-MAFA European project 2013).
    Description: Published
    Description: Torino, Italy
    Description: 3T. Pericolosità sismica e contributo alla definizione del rischio
    Description: open
    Keywords: Disruption Index, Mt. Etna Volcano ; 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Extended abstract
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  • 9
    Publication Date: 2021-01-11
    Description: Mt Etna region (Sicily, Italy) is one of the test areas studied in the European Project “Urban disaster Prevention Strategies using MAcroseismic fields and FAult sources” ( UPStrat-MAFA) to which the methodology of Disruption Index (hereafter DI), recently developed to evaluate the dysfunction of urban systems caused by earthquakes (Ferreira et al., 2014), has been applied on a trial basis.
    Description: Published
    Description: Istanbul, Turkey
    Description: 3T. Pericolosità sismica e contributo alla definizione del rischio
    Description: open
    Keywords: Seismic Risk ; 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
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  • 10
    Publication Date: 2021-03-01
    Description: Natural disasters, such as earthquakes and volcanic eruptions, have strong effects on the socioeconomic well-being of countries and their people. The consequences of these events can lead to complex cascades of related incidents, and in more serious contexts they can threaten our basic survivability. The problem of the seismic risk is a well-known issue at Etna due to the high-intensities volcano-tectonic earthquakes that frequently damage the very populated flanks of the volcano. In the framework of the european UPStrat-MAFA project, seismic hazard was performed following the probabilistic approach (PSHA) based on historical macroseismic data, by using the SASHA code [D’Amico and Albarello, 2008]. This approach uses intensity site observations to compute the seismic history for each investigated locality; the results, are expressed in terms of maximum intensity expected in a given exposure time, for exceedance probability thresholds. The seismic site histories were reconstructed from the database of macroseismic observation related to the historical catalogue of Mt. Etna from 1832 to 2013 [CMTE, 2014], implemented by “spot” observations as far back as 1600 [Azzaro and Castelli, 2014]. To improve the completeness of the site seismic histories, the dataset of the observed intensities was integrated with ‘virtual’ values, calculated according to attenuation laws. The attenuation model applied is based on Bayesian statistics performed on the Etna dataset [Rotondi et al., 2013], and provides the probabilistic distribution of the intensity at a given site. The hazard maps, calculated using a grid spaced 1 km, shows that for short exposure times (10 and 30 years, Figure 1a), volcano-tectonic earthquakes are the main source of shaking for the area. In particular localities in the eastern flank of the volcano have very high probabilities to suffer damage at least of VII degree in the next 30 years. Moreover, the de-aggregation analysis between magnitude vs seismic source demonstrates that S. Tecla fault (STF in Figure 1b) is one of the structures that mostly contribute to the hazard.
    Description: Published
    Description: Nicolosi, Italy
    Description: 3T. Pericolosità sismica e contributo alla definizione del rischio
    Description: open
    Keywords: Seismic hazard ; 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Extended abstract
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