The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis
Skabylov A. Agishev A. Zhexebay D. Ibraimov M. Khokhlov S. Maksutova A.
August 2025Multidisciplinary Digital Publishing Institute (MDPI)
Applied Sciences (Switzerland)
2025#15Issue 15
Featured Application: Earthquake Detection, Earthquake Early Warning System (EWS), Processing of Seismic Data. This work aims to develop approaches to processing and interpreting spectral entropy outcomes in the context of seismic data, as well as to establish a methodological foundation for subsequent integration into practical monitoring solutions. The objective of this study is to evaluate the effectiveness of the Shannon spectral entropy method in detecting and assessing short-term seismic events through a seismogram analysis. This method has demonstrated sensitivity to variations in the spectral characteristics of the registered signals. A threshold value for the increase in spectral entropy information has been pinpointed for reliable P-wave detection. The results could be applied in real-time automated seismic monitoring systems. In addition to the conventional spectral analysis techniques, the proposed methodology may serve as the input to the neural network models used in seismological applications.
earthquake early warning , P-wave detection , seismic monitoring , Shannon information theory , spectral entropy
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Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty, 050040, Kazakhstan
Data Science & Astrophysics Research Center, Almaty, 050040, Kazakhstan
Faculty of Physics and Technology
Data Science & Astrophysics Research Center
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