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 Classification: | 04. 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 | Size | Format | Existing users please Login |
---|---|---|---|---|
Natural hazard (convertito).pdf | 684.22 kB | Adobe PDF |
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