Peer-reviewed articles 17,970 +


Title: DETERMINATION OF THE DYNAMIC AND FRACTAL CHARACTERISTICS OF TIME SERIES FROM A SEPARATE SEISMIC ENERGY SOURCE IN THE BALKAN PENINSULA
DETERMINATION OF THE DYNAMIC AND FRACTAL CHARACTERISTICS OF TIME SERIES FROM A SEPARATE SEISMIC ENERGY SOURCE IN THE BALKAN PENINSULA

PlumX Article Metrics by Elsevier
Emil Oynakov; Maria Popova; Irena Aleksandrova; Yordan Milkov
10.5593/sgem2023/1.1/s05.67
10.5593/sgem2023/1.1
1314-2704
978-619-7603-56-9
English
23
1.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Applied and Environmental Geophysics
The analysis of the dynamic and fractal properties of the released seismic energy time series allows for the classification of the seismotectonic system that produces earthquakes as a deterministic-chaotic system. The dynamics of such systems suggests that relatively small changes can lead to significant (with one or more order large) jumps.
At the same time, the size of these jumps and the intervals of time that separate them are irregular, and the possibilities for their prediction are limited or absent.
In this study for the analysis of temporal sequences of the emitted seismic energy, catalog data from independent events for the period 2009-04.03.2021 from the Athens University, combined with the Bulgarian catalog of earthquakes for the period 1981- 2019, were used. The studied period is from the beginning of 2009 to the end of 2019, including 214 730 earthquakes with Mw magnitude. A standard method for studying temporal sequences - spectral analysis - was applied. Time series of daily seismic energy release for the full range of magnitudes, as well as for various sub-ranges, were obtained. The frequency dependence of the spectral power S in a double logarithmic scale for the time series of the separated seismic energy in different ranges of magnitude was shown. For all analyzed time series, the Hurst exponent (H) and the fractal dimension (D) were calculated using the freely distributed program Fractan 4.4. Dependencies of log (R / S) on log (?) obtained for different ranges of magnitude and estimates of the Hurst exponent (H) were calculated. The standard deviations of the parameters are ?? <0.1, ?H <0.3, ?D <0.3. The fractal characteristics of the temporal sequences of the released seismic energy for the Balkan peninsula in different magnitude intervals were obtained.
[1] Davis, J., Statisticheskii analiz dannykh v geologii [Statistical analysis of data in geology]. Vol. 2. Moscow: Nedra, pp 426, 1990.
[2] Lyubushin A., Analysis of geophysical and ecological monitoring systems. Moscow: Nauka, 228 p., 2007.
[3] Otnes, R., & Enokson, L., Applied Analysis of Time Series [Russian translation]. Mir, MOSCOW, 1982, pp 428.
[4] Nenovski, P., Chamati M., Villant M., De Lauretis, M. and Francia P., Scaling characteristics of SEGMA magnetic field data around the Mw6.3 Aquila earthquake. Acta Geophysica, Vol. 61(2), pp.311-337, 2013.
[5] Trifonova P., Dimitrova L., Metodiev M., Chamati M., Raykova P., EARTHQUAKE EFFECTS RECORDED ON MAGNETOGRAM - WHERE, WHEN AND WHY. 21th International Multidisciplinary Scientific GeoConference SGEM 2021, 21, 1.1, 2022, Bulgaria, ISBN: 978-619-7603-20-0, ISSN: 1314-2704, DOI:10.5593/sgem2021/1.1/s05.084, 2021, pp 693-700.
[6] Chamati, M. and Botev E., Nonlinear Analysis of Geomagnetic Variations Data from Panagyuriste Geomagnetic Observatory, Bulgaria. Proceedings of the10th Congress of the Balkan Geophysical Society, EAGE, Albena, Bulgaria, September 2019, pp 18-22.
[7] Lukk, A., Deshcherevskii A., Sidorin A., & Sidorin, I., Variations of Geophysical Fields as Manifestation of Deterministic Chaos in a Fractal Medium, Moscow: Ob”edinennyi Inst. Fiz. Zemli Ross. Akad. Nauk, 1996.
[8] Turcotte D., Fractals and Chaos in Geology and Geophysics. 2nd edn. Cambridge: Cambridge Univ. Press, 1997, p 398.
[9] Smirnov, V., Ponomarev, A. , Jiadong Q. & Cherepantsev A., Rhythms and deterministic chaos in geophysical time series. IZVESTIIA PHYSICS OF THE SOLID EARTH C/C OF FIZIKA ZEMLI-ROSSIISKAIA AKADEMIIA NAUK, 41(6), 2005, pp 428-448.
[10] Schroeder, M., & Herbich, M., Fractals, chaos, power laws. Pure and Applied Geophysics, 147(3), 2005, pp 601-601.
[11] Solakov D., Simeonova S., Raykova Pl., Aleksandrova I., Catalogue of the earthquakes in Bulgaria and surroundings since 1981, National Institute of Geophysics, Geodesy and Geography-BAS, 2020. DOI: https://doi.org/10.34975/ctlg-2020.v.1
[12] Kanamori H., The energy release in great earthquakes. // J. Geophys. Res., V.82, 1977, pp. 2981–2987.
This work has been carried out in the framework of the National Science Program "Environmental Protection and Reduction of Risks of Adverse Events and Natural Disasters", approved by the Resolution of the Council of Ministers № 577/17.08.2018 and supported by Contract No D01-164/28.07.2022 (Project "National Geoinformation Center (NGIC)" financed by the National Roadmap for Scientific Infrastructure 2020- 2027 of Bulgaria.
conference
https://doi.org/10.5593/sgem2023/1.1/s05.67
Download PDF
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
557-564
03 - 09 July, 2023
website
9056
fractal characteristics, seismic energy, earthquake