The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis
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 effectivene...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/15/8718 |
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| author | Alisher Skabylov Aldiyar Agishev Dauren Zhexebay Margulan Ibraimov Serik Khokhlov Alua Maksutova |
| author_facet | Alisher Skabylov Aldiyar Agishev Dauren Zhexebay Margulan Ibraimov Serik Khokhlov Alua Maksutova |
| author_sort | Alisher Skabylov |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8fac585cda4549d2b28ad8ad0bfff06c |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-8fac585cda4549d2b28ad8ad0bfff06c2025-08-20T03:36:35ZengMDPI AGApplied Sciences2076-34172025-08-011515871810.3390/app15158718The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram AnalysisAlisher Skabylov0Aldiyar Agishev1Dauren Zhexebay2Margulan Ibraimov3Serik Khokhlov4Alua Maksutova5Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty 050040, KazakhstanFaculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty 050040, KazakhstanFaculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty 050040, KazakhstanFaculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty 050040, KazakhstanFaculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty 050040, KazakhstanFaculty of Physics and Technology, Al-Farabi Kazakh National University, 71/23 Al-Farabi Ave., Almaty 050040, KazakhstanThis 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.https://www.mdpi.com/2076-3417/15/15/8718P-wave detectionspectral entropyShannon information theoryearthquake early warningseismic monitoring |
| spellingShingle | Alisher Skabylov Aldiyar Agishev Dauren Zhexebay Margulan Ibraimov Serik Khokhlov Alua Maksutova The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis Applied Sciences P-wave detection spectral entropy Shannon information theory earthquake early warning seismic monitoring |
| title | The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis |
| title_full | The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis |
| title_fullStr | The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis |
| title_full_unstemmed | The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis |
| title_short | The Application of Spectral Entropy to P-Wave Detection in Continuous Seismogram Analysis |
| title_sort | application of spectral entropy to p wave detection in continuous seismogram analysis |
| topic | P-wave detection spectral entropy Shannon information theory earthquake early warning seismic monitoring |
| url | https://www.mdpi.com/2076-3417/15/15/8718 |
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