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http://hdl.handle.net/2122/10161
Authors: | Meroni, F.* Zonno, G.* Azzaro, R.* D’Amico, S.* Tuvè, T.* Oliveira, C. S.* Ferreira, M. A.* Mota de Sá, F.* Brambilla, C.* Rotondi, R.* Varini, E.* |
Title: | The role of the urban system dysfunction in the assessment of seismic risk in the Mt. Etna area (Italy) | Journal: | Bulletin of Earthquake Engineering | Series/Report no.: | 7/14 (2016) | Publisher: | Springer Science+Business Media B.V. | Issue Date: | 2016 | DOI: | 10.1007/s10518-015-9780-8 | URL: | http://link.springer.com/article/10.1007/s10518-015-9780-8 | Keywords: | Seismic impact Disruption index Urban system Risk measures Mt. Etna area (Italy) |
Subject Classification: | 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk | Abstract: | A procedure for seismic risk assessment is applied to the Mt. Etna area (eastern Sicily, Italy) through assessment of urban system dysfunction following the occurrence of an earthquake.The tool used is based on the Disruption Index as a concept implemented in Simulator QuakeIST, which defines urban disruption following a natural disaster. The first element of the procedure is the definition of the seismic input, which is based on information about historical seismicity and seismogenic faults. The second element is computation of seismic impact on the building stock and infrastructure in the area considered. Information on urban-scale vulnerability was collected and a geographic information system was used to organise the data relating to buildings and network systems (e.g., building stock, schools, strategic structures, lifelines). The central idea underlying the definition of the Disruption Index is identification and evaluation of the impact on a target community through the physical elements that most contribute to severe disruption. The procedure applied in this study (i.e., software and data) constitutes a very useful operational tool to drive the development of strategies to minimise risks from earthquakes. |
Appears in Collections: | Article published / in press |
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Meroni et al 2016_BEE_preprint.pdf | Open Access | 7.05 MB | Adobe PDF | View/Open |
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