Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/6798
Authors: Convertito, V.* 
De Matteis, R.* 
Cantore, L.* 
Zollo, A.* 
Iannaccone, G.* 
Caccavale, M.* 
Title: Rapid estimation of ground-shaking maps for seismic emergency management in the Campania Region of southern Italy
Journal: Natural hazard 
Series/Report no.: 1/52 (2010)
Publisher: Springer
Issue Date: 2010
DOI: 10.1007/s11069-009-9359-2
Keywords: Ground-shaking maps
Triangulation scheme
Seismic source
Seismic hazard
Subject Classification04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous 
Abstract: Strong ground-shaking mapping soon after a moderate-to-large earthquake is crucial to recognize the areas that have suffered the largest damage and losses. These maps have a fundamental role for emergency services, loss estimation and planning of emergency actions by the Civil Protection Authorities. This is particularly important for areas with high seismic risk levels, such as the Campania-Lucania Region in southern Italy. Taking advantage of the Irpinia Seismic Network (ISNet), a recently installed dense and wide dynamic seismic network, we have developed a procedure for rapid estimation of ground-shaking maps after moderate-to-large earthquakes (GRSmap). This uses an optimal data gridding scheme designed to account for bi-dimensional features of strong groundmotion fields, such as directivity, radiation patterns and focal mechanisms, to which most damage can be correlated. The basis of the mapping technique is a triangulation procedure to locally correct predicted data at the triangle barycentres where their vertices correspond to seismic stations. The method has been tested off-line using a simulated M 6.6 earthquake located at the centre of ISNet and applied to data of the 23 November 1980 Irpina M 6.9 earthquake recorded by a sparse network. This has highlighted its ability to predict peak ground-motion parameters of large magnitude earthquakes with respect to the attenuation relationships.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat Existing users please Login
Natural hazard (convertito).pdf684.22 kBAdobe PDF
Show full item record

WEB OF SCIENCETM
Citations

18
checked on Feb 10, 2021

Page view(s)

141
checked on Apr 20, 2024

Download(s)

25
checked on Apr 20, 2024

Google ScholarTM

Check

Altmetric