2011
DOI: 10.1007/s10518-011-9270-6
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The L’Aquila earthquake—A view of site effects and building behavior from temporary networks

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Cited by 11 publications
(4 citation statements)
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“…In particular, the site response characterization of stations in the epicentral area largely benefited from several research activities carried out after the earthquake, described by Gruppo di Lavoro M.S.‐A.Q. [2010] and Cultrera et al [2011]. An overview on site responses of the accelerometric sites, based on the analysis of strong motion recordings, is found in the work of Bindi et al [2009].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the site response characterization of stations in the epicentral area largely benefited from several research activities carried out after the earthquake, described by Gruppo di Lavoro M.S.‐A.Q. [2010] and Cultrera et al [2011]. An overview on site responses of the accelerometric sites, based on the analysis of strong motion recordings, is found in the work of Bindi et al [2009].…”
Section: Introductionmentioning
confidence: 99%
“…In the following months, the network geometry was reorganized according to different needs. Stations devoted to site response investigations were moved to areas of particular interest for the Civil Protection, to collect data that would be useful for seismic microzonation studies [Cultrera et al 2011]. Stations devoted to earthquake location were reorganized according to their availability, to better follow the temporal and spatial evolution of the seismic sequence [Margheriti et al 2010].…”
Section: The L'aquila Earthquake Emergencymentioning
confidence: 99%
“…As local geological conditions can contribute to significant amplification of the seismic ground motions (even up to 10 times or more), the detailed estimation of the variability of site response is a crucial step in a sitespecific seismic hazard assessment (e.g. Cultrera et al 2011;Assimaki et al 2012;Mayoral et al 2019). The most reliable techniques to reconstruct site amplification are methods based on ground-motion observations, such as the standard spectral ratio method (SSR, Borcherdt 1970) or the generalized inversion scheme (GIT, e.g.…”
Section: Introductionmentioning
confidence: 99%