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Authors: Theodoulidis, N.* 
Cultrera, G.* 
De Rubeis, V.* 
Cara, F.* 
Panou, A.* 
Pagani, M.* 
Teves-Costa, P.* 
Title: Correlation between damage distribution and ambient noise H/V spectral ratio: the SESAME project results
Issue Date: 2008
Series/Report no.: /6 (2008)
DOI: 10.1007/s10518-008-9060-y
Keywords: Ambient noise
Site effect
Macroseismic intensity
Factor and canonical analysis
Subject Classification04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous 
Abstract: In the framework of the SESAME project one of the taskswas the compilation of all available ambient noise measurements within urban environments affected by historical or/and recent strong earthquakes in Europe. The aim of such a task was to give an answer to the question; “How does horizontal-to-vertical ambient noise spectral ratio compare with damage in modern cities?”. For this purpose five European urban areas, namely, Angra do Heroismo (Portugal), Fabriano and Palermo (Italy), Thessaloniki and Kalamata (Greece) were selected for which spatial damage information was available either in terms of modified Mercalli intensity or in EMS98 damage grades. The geological setting of the examined sites as well as the causative earthquakes are satisfactorily known. Ambient noise recordings compiled for all examined sites have been homogeneously processed by a technique developed and agreed upon SESAME project. Using a standard multivariate statistical analysis, namely, factor analysis and canonical correlation, the horizontal-to-vertical ambient noise spectral ratio (HVNSR) is correlated with damage pattern observed within examined urban areas. Results show that, in some cases (Thessaloniki, Palermo), the HVNSR seems to be able to differentiate between areas previously shown to be associated with higher damage. In other cases however (Angra do Heroismo, Fabriano, Kalamata), the correlation is not statistically significant indicating thus the complex character of the parameters involved, implying that currently there is no a straightforward way that a value of HVNSR can correctly predict the extent to which a given region will be associated with increased damage.
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