Skip to main content
SpringerLink
Log in

Evaluation of the Detection and Location Capability of the Seismic Network in the Western Part of the North Caucasus Using Network Layout and Local Microseismic Noise Level

  • Published:
Seismic Instruments Aims and scope Submit manuscript

Abstract

The power spectra of microseismic noise were investigated at 20 stations in the western part of the North Caucasus. The seismic stations are located on the eastern coast of the Black Sea and adjacent territories, covering various tectonic structures from the Greater Caucasus to the Scythian Platform. The night and day levels of microseisms were studied at different times of the year. The annual median seismic noise spectra were calculated. The most sensitive stations with the lowest and least differing day and night noise levels were identified, which are located in protected areas far from populated areas—Guzeripl, Gornoye, and Krasnaya Polyana. Most of the stations have an average noise level compared to the global average Peterson noise curves; at these stations, at frequencies above 1 Hz during the day, the noise level increases by at least an order of magnitude due to anthropogenic activity. Average noise levels in the 1–10 Hz frequency band were used to construct network capability maps according to the our method, with the application of empirical seismic wave attenuation curves, which are used to calculate the magnitudes of seismic sources in the region. The two areas of highest network sensitivity are visible on the maps of representative KРmin values: Anapa, with a level of KРmin = 6.0 during the day and KРmin = 5.5 at night, and Sochi–Krasnaya Polyana, with a level of KРmin = 5.5 during the day and KРmin = 5.0–5.5 at night.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.
Fig. 12.
Fig. 13.
Fig. 14.
Fig. 15.
Fig. 16.
Fig. 17.
Fig. 18.
Fig. 19.

Similar content being viewed by others

REFERENCES

  1. Aptikaev, F.F., Microseisms, in Bol’shaya Rossiiskaya entsiklopediya (Great Russian Encyclopedia), Moscow, 2012, vol. 20, p. 272.

    Google Scholar 

  2. Aranovich, Z.I. and Fabritsius, Z.E., On the effective sensitivity of particular stations when recording earthquakes in the Caucasus region: Case study of the Bakuriani station, in Metodika i rezul’taty otsenki effektivnosti regional’nykh sistem seismicheskikh nablyudenii (Methods and Results of Assessing the Effectiveness of Regional Seismic Networks), Tbilisi: Metsniereba, 1980, p. 68.

  3. Bondar, I., Myers, S.C., Engdahl, E.R., and Bergman, E.A., Epicentre accuracy based on seismic network criteria, Geophys. J. Int., 2004, vol. 156, no. 3, pp. 483–496. https://doi.org/10.1111/j.1365-246X.2004.02070.x

    Article  Google Scholar 

  4. Bormann, P. and Wielandt, E., Seismic signals and noise, in New Manual of Seismological Observatory Practice 2, Bormann, P., Ed., Potsdam: Deutsches GeoForschungs Zentrum GFZ, 2013, pp. 1–62. https://doi.org/10.2312/GFZ.NMSOP-2_ch4

  5. Burmin, V.Yu., Assessment of the Caucasus seismological network effectiveness, Seism. Instrum., 2019a, vol. 55, no. 2, pp. 129–135. https://doi.org/10.3103/S074792391902004X

    Article  Google Scholar 

  6. Burmin, V.Yu., Optimal geometry for the seismological observation network in the Caucasus region, Seism. Instrum., 2019b, vol. 55, no. 3, pp. 353–362. https://doi.org/10.3103/S0747923919030034

    Article  Google Scholar 

  7. Czecze, B. and Bondár, I., Hierarchical cluster analysis and multiple event relocation of seismic event clusters in Hungary between 2000 and 2016, J. Seismol., 2019, vol. 23, no. 6, pp. 1313–1326. https://doi.org/10.1007/s10950-019-09868-5

    Article  Google Scholar 

  8. Dyagilev, R.A, SArra, versiya 1. Rukovodstvo pol’zovatelya (Sarra, v. 1 : User’s Manual), Obninsk: Edinaya Geofiz. Sluzhba Ross. Akad. Nauk, 2020.

  9. Gabsatarova, I.P., Malovichko, A.A., and Starovoit, O.E., The history of instrumental observations in the Northern Caucasus: An overview, Geofiz. Zh., 2008, vol. 30, no. 5, pp. 50–72.

    Google Scholar 

  10. Gorbatikov, A.V., Gabsatarova, I.P., Rogozhin, E.A., Stepanova, M.Yu., Kharazova, Yu.V., Sysolin, A.I., and Pogrebchenko, V.A., Refinement of the deep structure and tectonic movement kinematics in the area of the 2001 Salsk earthquake based on new geophysical data, Seism. Instrum., 2019, vol. 56, no. 2, pp. 633–341. https://doi.org/10.3103/S0747923919060045

    Article  Google Scholar 

  11. Khain, V.E., Tectonic map of Caucasus, scale 1 : 5 500 000, in Bol’shaya Sovetskaya Entsiklopediya (Great Soviet Encyclopedia), Moscow: Sov. Entsikl., 1973, vol. 11, pp. 112–114.

  12. Kalinyuk, I.V., Svidlova, V.A., and Bondar’, M.N., Seismicity of Crimea in 2018, Uch. Zap. Krym. Fed. Univ. im. V.I. Vernadskogo. Geogr. Geol., 2019, vol. 5, no. 4, pp. 7–75.

    Google Scholar 

  13. Kanasevich, E.R., Analiz vremennykh posledovatel’nostei v geofizike (Time Series Analysis in Geophysics), Moscow: Nedra, 1985.

  14. Malovichko, A.A. and Gabsatarova, I.P., Seismic hazard and seismic monitoring of the Black Sea region within Russian Federation, Ekol. Vestn. Nauchn. Tsentrov Chernomorsk. Ekon. Sotr., 2012, no. 1, pp. 98–105.

  15. Peterson, J., Observations and Modeling of Seismic Background Noise, U. S. Geol. Surv. Open-File Rep. 93–322, 1993.

  16. Pustovitenko, B.G. and Kul’chitskii, V.E., On the energy-based estimation of earthquakes in the Crimean–Black sea region, in Magnituda i energeticheskaya klassifikatsiya zemletryasenii (Magnitude and Enegy Classification of Earthquakes), Moscow: Inst. Fiz. Zemli Akad. Nauk SSSR, 1974, vol. 2, pp. 113–125.

  17. Rautian, T.G., Determination of earthquake energy at distances of up to 3000 km, Tr. Inst. Fiz. Zemli Akad. Nauk SSSR, 1969, vol. 199, pp. 88–93.

    Google Scholar 

  18. Sandvol, E.A., Nabelek, J.L., Mackey, K.G., Malovichko, A.A., Dyagilev, R.A., Vinogradov, Yu.A., Shulakov, D., Godoladze, T., Babayan, H., and Yetirmishli, G., Uplift and seismic structure of the Greater Caucasus. Second stage of project, Sovremennye metody obrabotki i interpretatsii seismologicheskikh dannykh: Tezisy XIV Mezhdunarodnoi seismologicheskoi shkoly (Modern Methods of Processing and Interpreting Seismological Data: Proceedings of XIV International Seismological Workshop), Malovichko, A.A., Ed., Obninsk: Edinaya Geofiz. Sluzhba Ross. Akad. Nauk, 2019, pp. 3–7.

  19. Smirnov, V.B. and Gabsatarova, I.P., Representativeness of the earthquake catalog of Northern Caucasus: Model data and statistical estimates, Vestn. Otd. Geol. Geofiz. Geokhim. Gorn. Nauk Ross. Akad. Nauk, 2000, no. 4, pp. 83–99.

  20. Tatevossian, R.E., Arefiev, S.S., and Pletnev, K.G., Macroseismic survey of Salsk (Russian platform) earthquake of 22 May 2001, Russ. J. Earth Sci., 2002, vol. 4, no. 2, pp. 163–169.

    Article  Google Scholar 

  21. Waldhauser, F., HypoDD – A Program to Compute Double-Difference Hypocenter Locations, U. S. Geol. Surv. Open File Rep. 01-113, 2001.

  22. Waldhauser, F. and Ellsworth, W.L., A double difference earthquake location algorithm: Method and application to the Northern Hayward fault, California, Bull. Seismol. Soc. Am., 2000, vol. 90, no. 6, pp. 1353–1368.

    Article  Google Scholar 

  23. Zaklyukovskaya, A.S. and Gabsatarova, I.P., Specified local magnitude (ML) scale for the western part of Northern Caucasus, Sovremennye metody obrabotki i interpretatsii seismologicheskikh dannykh: Materialy Desyatoi mezhdunarodnoi seismologicheskoi shkoly (Modern Methods of Processing and Interpreting Seismological Data: Proceedings of the Tenth International Seismological Workshop), Malovichko, A.A., Ed., Obninsk: Geofiz. Sluzhba Ross. Akad. Nauk, 2015, pp. 132–136.

Download references

ACKNOWLEDGMENTS

The authors thank V.V. Gabsatarov for technical assistance in constructing the microseismic noise power spectra.

Funding

The study was carried out under the state task of GS RAS (topic no. 075-01304-20).

Author information

Authors and Affiliations

  1. Geophysical Survey, Russian Academy of Sciences, 249035, Obninsk, Russia

    A. A. Malovichko, I. P. Gabsatarova, R. A. Dyagilev, D. Yu. Mekhryushev & A. S. Zvereva

Authors
  1. A. A. Malovichko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. I. P. Gabsatarova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. A. Dyagilev
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. D. Yu. Mekhryushev
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. S. Zvereva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to I. P. Gabsatarova.

Ethics declarations

The authors declare they have no conflict of interest.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Malovichko, A.A., Gabsatarova, I.P., Dyagilev, R.A. et al. Evaluation of the Detection and Location Capability of the Seismic Network in the Western Part of the North Caucasus Using Network Layout and Local Microseismic Noise Level. Seism. Instr. 57, 209–230 (2021). https://doi.org/10.3103/S0747923921020274

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0747923921020274

Keywords:

Search

Navigation