Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/13919
Authors: Nardone, Lucia* 
Esposito, Roberta* 
Galluzzo, Danilo* 
Petrosino, Simona* 
Cusano, Paola* 
La Rocca, Mario* 
Di Vito, Mauro Antonio* 
Bianco, Francesca* 
Title: Array and spectral ratio techniques applied to seismic noise toinvestigate the Campi Flegrei (Italy) subsoil structure at differentscales
Journal: Advances in Geosciences (ADGEO) 
Series/Report no.: /52 (2020)
Publisher: EGU - Copernicus
Issue Date: Oct-2020
DOI: 10.5194/adgeo-52-75-2020.
Abstract: The purpose of this work is to study the subsoil structure of the Campi Flegrei area using both spectral ratios and array techniques applied to seismic noise. We have estimated the dispersion curves of Rayleigh waves by applying the Frequency–Wavenumber (f–k hereinafter) and Modified Spatial Autocorrelation (MSPAC) techniques to the seismic noise recorded by the underground short period seismic Array “ARF”, by the broadband stations of the UNREST experiment and by the broadband stations of the seismic monitoring network of INGV – Osservatorio Vesuviano. We have performed the inversion of a dispersion curve (obtained averaging the f–k and MSPAC dispersion curves of seismic noise and single phase velocity values of coherent transient signals) jointly with the H∕V spectral ratio of the broadband station CELG, to obtain a shear wave velocity model up to 2000 m depth. The best-fit model obtained is in a good agreement with the stratigraphic information available in the area coming from shallow boreholes and deep wells drilled for geothermal exploration. In active volcanic areas, such as Campi Flegrei, the definition of the velocity model is a crucial issue to characterize the physical parameters of the medium. Generally, a high quality characterization of the medium properties helps to separate the contributions of the volcanic source, path and site in the geophysical observables. Therefore, monitoring possible variations in time of such properties in general can help to recognize anomalies due to the volcano dynamics, i.e. fluid migration connected to the volcanic activity.
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