Variations in Microseismic Noise Spectra as a Forecast Parameter of Earthquakes in the Baikal Rift System
https://doi.org/10.26907/1562-5419-2025-28-4-727-739
Abstract
This paper examines the microseismic noise spectra a few hours before moderate and strong seismic events. Forty earthquakes with an energy class of K=9.5–14.5 at epicentral distances of 10 to 120 km were considered. A statistically significant increase in the spectral power density (SPD) was detected in the 0.8–2.4 Hz range. Machine learning methods were used to construct a binary classification model that allows detection of earthquake preparations a few hours before an event based on microseismic SPD values in the specified frequency range.
About the Authors
Lyudmila Petrovna Braginskaya
Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Andrey Pavlovich Grigoryuk
Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Valeriy Viktorovich Kovalevskiy
Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Anna Alexandrovna Dobrynina
Institute of the Earth's Crust SB RAS
Russian Federation
Russian Federation
Matvey Sergeevich Kim
Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
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Review
For citations:
Braginskaya L.P., Grigoryuk A.P., Kovalevskiy V.V., Dobrynina A.A., Kim M.S. Variations in Microseismic Noise Spectra as a Forecast Parameter of Earthquakes in the Baikal Rift System . Russian Digital Libraries Journal. 2025;28(4):727-739. (In Russ.) https://doi.org/10.26907/1562-5419-2025-28-4-727-739
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