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

Sensors (Basel). 2024 May 28;24(11):3474. doi: 10.3390/s24113474.

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.

Keywords: background seismic noise level; real time monitoring; seismic noise; seismic noise trend; seismology.

Grants and funding

This work was supported by Project PNRR “Monitoring Earth’s Evolution and Tectonics” (MEET), which received funding from the European Union—Next Generation EU-National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza), Missione 4, Componente 2, Investimento 3.1 “Fondo per la realizzazione di un sistema integrato di infrastrutture di ricerca e innovazione”—Prot. IR0000025-Avviso n. 3264 del 28/12/2021, WP:01 “Strengthening the National Networks data production” (RENEW), Activity 1.3 “Strengthening the RSN, the RSM and MedNet seismic networks”—CUP D53C22001400005.