National and regional high-quality seismic background noise models for Italy

Abstract We present new national and regional seismic noise models for Italy based on continuous vertical-component recordings acquired between January 2024 and February 2025 at 349 broadband seismic stations. A rigorous quality-control and data-selection workflow was developed to identify station malfunctions, metadata inconsistencies, data gaps, and earthquake-related seismic transients using conservative empirical magnitude–hypocentral-distance criteria. After quality assessment, 283 stations were retained for the model construction. The Italian Seismic Noise Model ( ISNM ) was derived by equally stacking normalized station-level probability density functions (PDFs), with the 5th (P 5 ) and 95th (P 95 ) percentiles defining its lower and upper boundaries. Compared with the previous Italian model, the ISNM defines a narrower spectral envelope, with its lower boundary averaging 4.1 dB higher and its upper boundary 11.9 dB lower over their common frequency range. Sensitivity analyses show differences within approximately ±1.5 dB below 10 Hz between models obtained with and without data selection, whereas quality control substantially reduces anomalous contributions to the high-frequency upper tail. Regional models reveal distinct spectral characteristics: the Po Plain shows elevated noise above 1 Hz, Campi Flegrei and Vesuvio exhibit enhanced energy at approximately 0.2–1 Hz, whereas Etna and Stromboli show pronounced features at 2–5 Hz. Additional models based on Italian seismic-code site classes highlight differences among site conditions, while daytime–nighttime comparisons for classes A, B, and C-D-E indicate an increasing anthropogenic contribution above 1 Hz. Bootstrap analysis shows frequency-dependent sampling variability, generally greater for the upper model boundaries.

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Publication Details

Journal
Journal of Seismology
Published
2026-10-29
DOI
https://doi.org/10.1007/s10950-026-10469-2
Primary Topic
Seismic Waves and Analysis
Type
article
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article

National and regional high-quality seismic background noise models for Italy

Peter Danecek, Rodolfo Puglia, Marco Massa, Fabio Varchetta
Journal of Seismology
Seismic Waves and Analysis
article

National and regional high-quality seismic background noise models for Italy

Peter Danecek, Rodolfo Puglia, Marco Massa, Fabio Varchetta
article en

Abstract

Abstract We present new national and regional seismic noise models for Italy based on continuous vertical-component recordings acquired between January 2024 and February 2025 at 349 broadband seismic stations. A rigorous quality-control and data-selection workflow was developed to identify station malfunctions, metadata inconsistencies, data gaps, and earthquake-related seismic transients using conservative empirical magnitude–hypocentral-distance criteria. After quality assessment, 283 stations were retained for the model construction. The Italian Seismic Noise Model ( ISNM ) was derived by equally stacking normalized station-level probability density functions (PDFs), with the 5th (P 5 ) and 95th (P 95 ) percentiles defining its lower and upper boundaries. Compared with the previous Italian model, the ISNM defines a narrower spectral envelope, with its lower boundary averaging 4.1 dB higher and its upper boundary 11.9 dB lower over their common frequency range. Sensitivity analyses show differences within approximately ±1.5 dB below 10 Hz between models obtained with and without data selection, whereas quality control substantially reduces anomalous contributions to the high-frequency upper tail. Regional models reveal distinct spectral characteristics: the Po Plain shows elevated noise above 1 Hz, Campi Flegrei and Vesuvio exhibit enhanced energy at approximately 0.2–1 Hz, whereas Etna and Stromboli show pronounced features at 2–5 Hz. Additional models based on Italian seismic-code site classes highlight differences among site conditions, while daytime–nighttime comparisons for classes A, B, and C-D-E indicate an increasing anthropogenic contribution above 1 Hz. Bootstrap analysis shows frequency-dependent sampling variability, generally greater for the upper model boundaries.

Journal of SeismologyVol. 30(6)
Istituto Nazionale di Geofisica e Vulcanologia (IT), INGV Sezione di Milano (IT)
Openalex Percentile: Top 17%
Seismic Waves and Analysis
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