Automatic Removal of Low Frequency Noise from Seismograms Using the Fingerprinting Method: Algorithms, Properties, Limitations
This paper describes a new method for automatic preparation of a noisy seismic record for further analysis using expert information systems. The method is based on seismogram fingerprints, which, due to their concise but informative pattern, allow the development of a reliable algorithm for finding...
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| Published in | Journal of volcanology and seismology Vol. 18; no. 3; pp. 275 - 289 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Moscow
Pleiades Publishing
01.06.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0742-0463 1819-7108 |
| DOI | 10.1134/S0742046324700556 |
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| Abstract | This paper describes a new method for automatic preparation of a noisy seismic record for further analysis using expert information systems. The method is based on seismogram fingerprints, which, due to their concise but informative pattern, allow the development of a reliable algorithm for finding important noise characteristics. The search for the optimal cutoff frequency for a high-pass filter is especially important under conditions of partial overlap of the signal and noise spectra, when the latter have high intensity. It is precisely this difficult case that this study aims to address. The article analyzes the methodology developed here in application to several hundred records of regional earthquakes and explosions. The analysis showed that reliable results can be achieved in more than 90% of the cases. In addition, the defects and limitations of the method are mentioned, which are logical consequences of its advantages. The Appendix to this article contains a detailed description of the algorithm underlying the method. |
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| AbstractList | This paper describes a new method for automatic preparation of a noisy seismic record for further analysis using expert information systems. The method is based on seismogram fingerprints, which, due to their concise but informative pattern, allow the development of a reliable algorithm for finding important noise characteristics. The search for the optimal cutoff frequency for a high-pass filter is especially important under conditions of partial overlap of the signal and noise spectra, when the latter have high intensity. It is precisely this difficult case that this study aims to address. The article analyzes the methodology developed here in application to several hundred records of regional earthquakes and explosions. The analysis showed that reliable results can be achieved in more than 90% of the cases. In addition, the defects and limitations of the method are mentioned, which are logical consequences of its advantages. The Appendix to this article contains a detailed description of the algorithm underlying the method. |
| Author | Silkin, K. Yu |
| Author_xml | – sequence: 1 givenname: K. Yu surname: Silkin fullname: Silkin, K. Yu email: const.silkin@ya.ru organization: Unified Geophysical Service, Russian Academy of Sciences |
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| Cites_doi | 10.1109/78.912932 10.1109/TIE.2017.2696503 10.1126/sciadv.1501057 10.1007/978-3-642-56702-5 10.1007/s11265-005-4151-3 10.35540/2686-7907.2022.4.03 10.1190/geo2011-0235.1 10.1016/j.sigpro.2016.01.024 10.1785/0120150345 10.1016/j.patcog.2008.05.006 10.1190/1.1443920 10.1016/j.acha.2010.08.002 10.1190/geo2015-0598.1 10.1093/gji/ggac378 10.21455/si2023.2-3 10.1007/s11801-010-9250-0 10.21455/si2022.3-1 10.1007/s00024-018-1995-6 10.15514/ISPRAS-2020-33(2)-9 10.1088/1755-1315/384/1/012075 10.1109/34.192463 10.1109/LGRS.2014.2342033 10.7440/histcrit60.2016.05 10.1098/rsta.2017.0254 10.3389/feart.2022.933284 10.1190/segam2016-13262052.1 10.13140/RG.2.2.16996.27529 10.1109/ICEFEET51821.2022.9848400 |
| ContentType | Journal Article |
| Copyright | Pleiades Publishing, Ltd. 2024. ISSN 0742-0463, Journal of Volcanology and Seismology, 2024, Vol. 18, No. 3, pp. 275–289. © Pleiades Publishing, Ltd., 2024. Pleiades Publishing, Ltd. 2024. |
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| SubjectTerms | Algorithms Datasets Earth and Environmental Science Earth Sciences Earthquakes Explosions Fingerprinting Fourier transforms Geochemistry Geology Geophysics/Geodesy High pass filters Information systems LF noise Noise Noise spectra Regional development Seismograms Time series Wavelet transforms |
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| Title | Automatic Removal of Low Frequency Noise from Seismograms Using the Fingerprinting Method: Algorithms, Properties, Limitations |
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