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Applying and validating the PTVA-3 Model at the Aeolian Islands, Italy: assessment of the vulnerability of buildings to tsunamis

dc.contributor.author Dall'Osso, Filippo en_US
dc.contributor.author Maramai, Alessandra en_US
dc.contributor.author Graziani, Laura en_US
dc.contributor.author Brizuela, Beatriz en_US
dc.contributor.author Cavalletti, Alessandra en_US
dc.contributor.author Gonella, Marco en_US
dc.contributor.author Tinti, Stefano en_US
dc.date.accessioned 2021-11-25T12:25:27Z
dc.date.available 2021-11-25T12:25:27Z
dc.date.issued 2010 en_US
dc.description.abstract The volcanic archipelago of the Aeolian Islands (Sicily, Italy) is included on the UNESCO World Heritage list and is visited by more than 200 000 tourists per year. Due to its geological characteristics, the risk related to vol- canic and seismic activity is particularly high. Since 1916 the archipelago has been hit by eight local tsunamis. The most recent and intense of these events happened on 30 De- cember 2002. It was triggered by two successive landslides along the north-western side of the Stromboli volcano (Sciara del Fuoco), which poured approximately 2–3×107 m3 of rocks and debris into the Tyrrhenian Sea. The waves im- pacted across the whole archipelago, but most of the damage to buildings and infrastructures occurred on the islands of Stromboli (maximum run-up 11 m) and Panarea. The aim of this study is to assess the vulnerability of build- ings to damage from tsunamis located within the same area inundated by the 2002 event. The assessment is carried out by using the PTVA-3 Model (Papathoma Tsunami Vulner- ability Assessment, version 3). The PTVA-3 Model calcu- lates a Relative Vulnerability Index (RVI) for every build- ing, based on a set of selected physical and structural at- tributes. Run-up values within the area inundated by the 2002 tsunami were measured and mapped by the Istituto Italiano di Geofisica e Vulcanologia (INGV) and the University of Bologna during field surveys in January 2003. Results of the assessment show that if the same tsunami were to oc- cur today, 54 buildings would be affected in Stromboli, and 5 in Panarea. The overall vulnerability level obtained in this analysis for Stromboli and Panarea are “average”/“low” and “very low”, respectively. Nonetheless, 14 buildings in Strom- Correspondence to: F. Dall’Osso (filippodallosso@gmail.com) boli are classified as having a “high” or “average” vulnera- bility. For some buildings, we were able to validate the RVI scores calculated by the PTVA-3 Model through a qualita- tive comparison with photographs taken by INGV and the University of Bologna during the post-tsunami survey. With the exception of a single structure, which is partially cov- ered by a coastal dune on the seaward side, we found a good degree of accuracy between the PTVA-3 Model forecast as- sessments and the actual degree of damage experienced by buildings. This validation of the model increases our confi- dence in its predictive capability. Given the high tsunami risk for the archipelago, our results provide a framework for pri- oritising investments in prevention measures and addressing the most relevant vulnerability issues of the built environ- ment, particularly on the island of Stromboli. en_US
dc.identifier.issn 1561-8633 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/51923
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other Stromboli en_US
dc.subject.other Tsunami en_US
dc.subject.other Mediterranean en_US
dc.subject.other Building Vulnerability en_US
dc.subject.other GIS map en_US
dc.subject.other PTVA Model en_US
dc.title Applying and validating the PTVA-3 Model at the Aeolian Islands, Italy: assessment of the vulnerability of buildings to tsunamis en_US
dc.type Journal Article en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.description.notePublic http://www.nat-hazards-earth-syst-sci.net/10/1547/2010/nhess-10-1547-2010.html en_US
unsw.identifier.doiPublisher http://dx.doi.org/10.5194/nhess-10-1547-2010 en_US
unsw.relation.faculty Science
unsw.relation.ispartofjournal Natural Hazards and Earth System Sciences en_US
unsw.relation.ispartofpagefrompageto 1547-1562 en_US
unsw.relation.ispartofvolume 10 en_US
unsw.relation.originalPublicationAffiliation Dall'Osso, Filippo, Biological, Earth & Environmental Sciences, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Maramai, Alessandra, INGV, Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Roma, Italy en_US
unsw.relation.originalPublicationAffiliation Graziani, Laura, INGV, Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Roma, Italy en_US
unsw.relation.originalPublicationAffiliation Brizuela, Beatriz, INGV, Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Roma, Italy en_US
unsw.relation.originalPublicationAffiliation Cavalletti, Alessandra, Med Ingegneria S.r.l., Environmental Engineering, via P. Zangheri 16, 48124 Ravenna, Italy en_US
unsw.relation.originalPublicationAffiliation Gonella, Marco, Med Ingegneria S.r.l., Environmental Engineering, via P. Zangheri 16, 48124 Ravenna, Italy en_US
unsw.relation.originalPublicationAffiliation Tinti, Stefano, University of Bologna, Department of Physics, Viale Carlo Berti Pichat 8, 40127 Bologna, Italy en_US
unsw.relation.school School of Biological, Earth & Environmental Sciences *
unsw.subject.fieldofresearchcode 040604 Natural Hazards en_US
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