Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9756
Authors: Milana, G.* 
Bordoni, P.* 
Cara, F.* 
Di Giulio, G.* 
Hailemikael, S.* 
Rovelli, A.* 
Title: 1D velocity structure of the Po River plain (Northern Italy) assessed by combining strong motion and ambient noise data
Journal: Bulletin of Earthquake Engineering 
Series/Report no.: /12 (2013)
Publisher: Springer Science+Business Media B.V.
Issue Date: 2013
DOI: 10.1007/s10518-013-9483-y
URL: http://link.springer.com/article/10.1007/s10518-013-9483-y/fulltext.html
Keywords: Deep alluvium site, Strong motion data, Dispersion, Wavelet analysis, Velocity model
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.06. Seismic methods 
Abstract: Strong ground motions recorded on the sedimentary deposits of the Po River alluvial plain during the Emilia (Northern Italy) Mw 5.7 earthquake of May 29, 2012 are used to assess the vertical profile of shear-wave velocity above the limestone basement. Data were collected by a linear array installed for site effect studies after the Mw 5.9 mainshock of May 20, 2012. The array stations, equipped with both strong and weak motion sensors, are aligned in the South–North direction, at distances ranging from 1 to 26 km from the epicenter. The vertical components of ground motion show very distinctive, large-amplitude, low-frequency dispersive wave trains. Wavelet analysis yields group-velocity dispersion curve in the 0.2–0.7 Hz frequency band. The availability of a long ambient noise record allows estimates of the site resonance frequency along with its stability among stations. The joint inversion of dispersion of surface waves and ellipticity curves derived from ambient noise H/V allows extending investigations down to the sediment-limestone interface, at a depth of about 5,000 m. Our results add new information about the velocity structure at a scale that is intermediate between the local scale already investigated by other authors with small-aperture arrays using ambient noise and the regional scale inferred from modeling of seismogram waveforms recorded at hundreds of kilometers from the source.
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