Vestnik КRAUNC. Fiz.-Mat. nauki. 2024. vol. 47. no. 2. P. 58 – 74. ISSN 2079-6641

INFORMATION AND COMPUTING TECHNOLOGIES
https://doi.org/10.26117/2079-6641-2024-47-2-58-74
Research Article
Full text in Russian
MSC 00A69, 05C75

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Search signs changes in the state of the near-surface layer of the lithosphere based on the image analysis results reflecting the characteristics dynamics of the geoacoustic emission signal

Y. I. Senkevich^\ast

Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, 684034, v. Paratunka, Mirnaya st., 7, Russia

Abstract. The lithosphere physical state, including its surface layers, in a certain way characterizes the likelihood of the risk of catastrophic seismic events, indicates the degree of threat to human life and the risk of economic damage. One of the directions for assessing the lithosphere state is the analyzing result the characteristics variability of the geoacoustic emission signal at the observation point. The studies results carried out at the Institute of Cosmophysical Research and Radio Wave Propagation Far Eastern Branch of the Russian Academy of Sciences are presented. This make it possible to identify the dynamic characteristics of the geoacoustic emission signal associated with changes in the near-surface of the lithosphere. Recognition and assessment of the characteristics variability of geoacoustic emission signals on a given time scale of observations was carried out using a neural network approach. A methodology has been developed for classifying observed anomalies in the dynamics of geoacoustic emission signal characteristics.

Key words: lithosphere state, geoacoustic emission, pattern recognition, of signal characteristics dynamics, neural networks.

Received: 05.07.2024; Revised: 04.08.2024; Accepted: 22.08.2024; First online: 25.08.2024

For citation. Senkevich Y. I. Search signs changes in the state of the near-surface layer of the lithosphere based on the image analysis results reflecting the characteristics dynamics of the geoacoustic emission signal. Vestnik KRAUNC. Fiz.-mat. nauki. 2024, 47: 2, 58-74. EDN: HGQSBR. https://doi.org/10.26117/2079-6641-2024-47-2-58-74.

Funding. The work was supported by the Institute of Cosmophysical Research and Radio Wave Propagation FAB RAS State Task (subject registration No. 124012300245-2).

Competing interests. There are no conflicts of interest regarding authorship and publication.

Contribution and Responsibility. The author participated in the writing of the article and is fully responsible for submitting the final version of the article to the press.

^\astCorrespondence: E-mail: senkevich@ikir.ru

The content is published under the terms of the Creative Commons Attribution 4.0 International License

© Senkevich Y. I., 2024

© Institute of Cosmophysical Research and Radio Wave Propagation, 2024 (original layout, design, compilation)

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Information about the author

Senevich Yury Igorevich – D. Sci. (Tech)), Docent, Leading Researcher, Laboratory of Acoustic Research, Institute of Cosmophysical and Radio Wave Propagation FEB RAS, Paratunka, Russia, ORCID 0000-0003-0875-6112.

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