Ruzza G, Cogliano R, D’Ambrosio C, Falco L, Cardinale V, Minichiello F, Memmolo A, Castagnozzi A, De Luca G, Vicari A. SEISMONOISY: A Quasi-Real-Time Seismic Noise Network Monitoring System.
SENSORS (BASEL, SWITZERLAND) 2024;
24:3474. [PMID:
38894265 PMCID:
PMC11174729 DOI:
10.3390/s24113474]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024]
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.
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