Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16960
Authors: Sgobba, Sara* 
Felicetta, Chiara* 
Bortolotti, Teresa* 
Menafoglio, Alessandra* 
Lanzano, Giovanni* 
Pacor, Francesca* 
Title: A geostatistical modelling of empirical amplification functions and related site proxies for shaking scenarios in central Italy
Journal: Soil Dynamics and Earthquake Engineering 
Series/Report no.: /179 (2024)
Publisher: Elsevier
Issue Date: 2024
DOI: 10.1016/j.soildyn.2024.108496
Abstract: This work aims at identifying and modelling statistical dependencies between empirical amplification functions of sites in central Italy and the main geological and geophysical characteristics of the region, within a geostatistical analysis framework. The empirical functions, named δS2S, are estimated by decomposing the re siduals of the median predictions of a non-ergodic ground motion model of elastic acceleration response spectra developed for the reference region. To select the model that best describes the spatial variability of the data, the performance of stationary and non-stationary spatial models is compared, the latter being able to constrain the prediction of the empirical functions to physical quantities available in the region and descriptive of the geology, topography and geographical location of the site. Finally, we obtain optimal models of δS2S, for each spectral ordinate, parameterised as a function of geographical coordinates and an input map of shear wave velocity in the upper 30 m (Vs30) constructed ad hoc by combining information gathered from two high-resolution maps available for the region. The methodology allows the development of a new practice-oriented framework for the empirical estimation of site amplification, which can be adopted for the gen eration of shaking scenarios in the context of regional hazard and seismic risk assessment.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat
SOILDYN-D-23-01475.pdfOpen Access Published Article12.57 MBAdobe PDFView/Open
Show full item record

Page view(s)

65
checked on Jun 19, 2024

Download(s)

2
checked on Jun 19, 2024

Google ScholarTM

Check

Altmetric