Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/13558
Authors: Cusano, Paola* 
Petrosino, Simona* 
De Lauro, Enza* 
De Martino, Salvatore* 
Falanga, Mariarosaria* 
Title: Characterization of the seismic dynamical state through joint analysis of earthquakes and seismic noise: the example of Ischia Volcanic Island (Italy)
Journal: Advances in Geosciences (ADGEO) 
Series/Report no.: /52 (2020)
Publisher: Copernicus Publications
Issue Date: 9-Apr-2020
DOI: 10.5194/adgeo-52-19-2020
Keywords: Ischia volcano
Source dynamics
Data analysis
Subject Classification04.08. Volcanology 
04.06. Seismology 
Abstract: This work is devoted to the study of both earthquakes and background seismic noise at Ischia Island (Italy) recorded pre and post the Md 4.0 earthquake occurred on 21 August 2017 (18:57 UTC). We compare and characterize noise and earthquakes in terms of Independent Component Analysis, energy and polarization properties. The earthquakes’ waveforms and the background noise are decomposed into a few independent components with two main common signals peaked around 1–2 and 3–4 Hz, respectively. A slight increase of the energy of the background seismic noise is observed comparing samples recorded in 2016 and 2017, whereas no variations are detected in 2017 pre and post the main earthquake. The polarization analysis, performed in the frequency bands individuated by Independent Component Analysis and applied to the background seismic noise, indicates a shallow propagation and the azimuthal pattern is mainly controlled by the local structural features. These results suggest that noise and earthquakes are ascribable to a common phenomenon of fluid-solid interaction in the hydrothermal system of Ischia Island.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat
CusanoEtAl2020adgeo-52-19-2020.pdf5.94 MBAdobe PDFView/Open
Show full item record

Page view(s)

114
Last Week
0
Last month
5
checked on Oct 21, 2021

Download(s)

64
checked on Oct 21, 2021

Google ScholarTM

Check

Altmetric