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SEISMONOISY: A Quasi-Real-Time Seismic Noise Network Monitoring System

Authors :
Giuseppe Ruzza
Rocco Cogliano
Ciriaco D’Ambrosio
Luigi Falco
Vincenzo Cardinale
Felice Minichiello
Antonino Memmolo
Angelo Castagnozzi
Giovanni De Luca
Annamaria Vicari
Source :
Sensors, Vol 24, Iss 11, p 3474 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

This paper introduces SEISMONOISY, an application designed for monitoring the spatiotemporal characteristic and variability of the seismic noise of an entire seismic network with a quasi-real-time monitoring approach. Actually, we have applied the developed system to monitor 12 seismic networks distributed throughout the Italian territory. These networks include the Rete Sismica Nazionale (RSN) as well as other regional networks with smaller coverage areas. Our noise monitoring system uses the methods of Spectral Power Density (PSD) and Probability Density Function (PDF) applied to 12 h long seismic traces in a 24 h cycle for each station, enabling the extrapolation of noise characteristics at seismic stations after a Seismic Noise Level Index (SNLI), which takes into account the global seismic noise model, is derived. The SNLI value can be used for different applications, including network performance evaluation, the identification of operational problems, site selection for new installations, and for scientific research applications (e.g., volcano monitoring, identification of active seismic sequences, etc.). Additionally, it aids in studying the main noise sources across different frequency bands and changes in the characteristics of background seismic noise over time.

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.b886dbe8bb449f28ce767a42ad1ad33
Document Type :
article
Full Text :
https://doi.org/10.3390/s24113474