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Abstract <p>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 <i>K</i> = 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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • L. P. Braginskaya,
  • A. P. Grigoryuk,
  • V. V. Kovalevsky,
  • A. A. Dobrynina,
  • M. S. Kim

摘要

Abstract

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.