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  5. Probabilistic Tsunami Hazard Analysis for Eastern Sicily (Italy)
 
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Probabilistic Tsunami Hazard Analysis for Eastern Sicily (Italy)

Author(s)
Lorito, S.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Piatanesi, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Romano, F.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Basili, R.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Kastelic, V.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Tiberti, M. M.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Valensise, G.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Type
Conference paper
Language
English
Obiettivo Specifico
4.2. TTC - Modelli per la stima della pericolosità sismica a scala nazionale
Status
Published
Journal
AGU Fall Meeting 2009  
Date Issued
December 14, 2009
Conference Location
San Francisco
URI
https://www.earth-prints.org/handle/2122/5910
Subjects
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk  
Subjects

Tsunami

Hazard

Abstract
We applied the method for Probabilistic Tsunami Hazard Analysis (PTHA), first introduced by Rikitake and Aida (1988), to the coasts of eastern Sicily (Italy), and focusing on important cities such as Messina, Catania, and Augusta. The method has been very recently improved by Gonzàlez et al. (2009) to explicitly include inundation. Our approach considers both far- and near-field sources. Based on the approach described by Lorito et al. (2008), we identified a few Source Zones (SZ), each of which is characterized by a Typical Fault (TF) floating within it and capable of generating the Maximum Credible Earthquake (MCE). Some of the MCE recall historical events such as the 1908 Messina, the 1693 Catania and the 365 AD Crete earthquakes. We calculated the combined probability for all considered SZs by assigning a recurrence interval to each of them and a Poisson distribution of the inter-event times. We performed the PTHA for different damage metrics, such as runup, current speed, momentum and Froude number, with probability of exceedance of given thresholds being evaluated for different time intervals.
File(s)
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Thumbnail Image
Name

PTHA_agu_2009.doc

Description
Eos Trans. AGU, 90(52), Fall Meet. Suppl., Abstract OS43A-1381
Size

45 KB

Format

Microsoft Word

Checksum (MD5)

c38d8237723cc08ba43883c1ab1e6b4a

rome library|catania library|milano library|napoli library|pisa library|palermo library
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