Variations in Microseismic Noise Spectra As a Forecast Parameter of Earthquakes in the Baikal Rift System

This paper examines the microseismic noise spectra a few hours before moderate and strong seismic events. In all, 40 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 power spectral density (PSD) 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 PSD values in the specified frequency range.