Seismic characterization and reconstruction of reference ground motion at accelerometric sites of the Italian national accelerometric network (RAN)
D. Albarello (),
M. Francescone,
E. Lunedei,
E. Paolucci,
M. P. Papasidero,
G. Peruzzi and
P. Pieruccini
Additional contact information
D. Albarello: Università di Siena
M. Francescone: Università di Siena
E. Lunedei: Università di Siena
E. Paolucci: Università di Siena
M. P. Papasidero: Università di Siena
G. Peruzzi: Università di Siena
P. Pieruccini: Università di Siena
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 86, issue 2, No 12, 416 pages
Abstract:
Abstract We present a field procedure that has been extensively used in Italy to characterize local seismic response at accelerometric sites and to retrieve ground motion at reference soil conditions by deconvolution analysis. To allow a generalized application to large areas where borehole data are generally lacking or inadequate for the seismic characterization for soils down to the reference seismic bedrock, cost-effectiveness of the considered procedures is a main issue. Thus, major efforts have been devoted to optimize available information and exploit fast and cheap surface geophysical prospecting. In particular, geological/geomorphological survey and passive seismic prospecting (both in single- and multi-station configurations) were jointly considered to reconstruct seismo-stratigraphical site conditions. This information was then used to feed numerical modeling aiming at computing the local seismic response and performing a deconvolution analysis to reconstruct ground motion at reference soil conditions. Major attention was devoted to evaluate and manage uncertainty involved in the procedure and to quantify its effect on final outcomes. An application of this procedure to a set of sites included in the Italian Accelerometric Network is presented.
Keywords: Accelerometric sites; Geophysical prospecting; Ambient vibrations; Italy (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)
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DOI: 10.1007/s11069-016-2310-4
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