Variations in Microseismic Noise Spectra as a Forecast Parameter of Earthquakes in the Baikal Rift System
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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.
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References
https://doi.org/10.3390/geosciences14080209
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