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Software for Interactive and Automated Seismic and Infrasonic Data Processing

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Abstract

The article provides an overview of software products developed at the Kola Branch of the Geophysical Survey of the Russian Academy of Sciences. These software products are aimed at automating the detection, location, and analysis of seismic and infrasonic events both locally (monitoring mines) and regionally (monitoring seismic and infrasonic activity in regions). A software package is also considered for searching for fragments of spent launch vehicles using signals from shock waves generated during their return to the dense layers of the atmosphere. The created software products are implemented in organizations both in the Russian Federation and abroad. Some of the programs are certified.

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REFERENCES

  1. Akkuratov, M.V., Asming, V.E., Vinogradov, Yu.A., and Korchak, P.A., Unified system of monitoring the state of Khibiny Mountain Massif based on networks of seismic stations of the Kola Branch of the Geophysical Survey, Russian Academy of Sciences, and OAO Apatit, Sovremennye metody obrabotki i interpretatsii seismologicheskikh dannykh (Modern Methods of Processing and Interpreting Seismological Data), Obninsk, Kaluga oblast: Fed. Issled. Tsentr Edinaya Geofiz. Sluzhba Ross. Akad. Nauk, 2011, pp. 7–10.

  2. Altynbek-uulu, T., Seitaliev, M.M., Abyldaeva, F.S., and Asming, V.E., The introduction of digital seismic stations in practice of the Institute of Seismology of the National Akademy Nauk of the Republic of Kyrgyzstan, Vestn. Inst. Seismol. NAN KR, 2015, no. 2, pp. 11–34.

  3. Asming, V.E., Software complex for automated processing of seismic notes EL, Pribory i metodika geofizicheskogo eksperimenta (Instruments and Methodology of Geophysical Experiment), Murmansk: MIP-999, 1997, pp. 125–132.

  4. Asming, V.E., Creation of software complex for automated detection, location, and interpretation of seismic events and its use for studying the seismicity of North-Western region, Cand. Sci. (Phys.–Math.) Dissertation, Moscow: Inst. of Geosphere Dynamics, 2004.

  5. Asming, V.E., Evtyugina, Z.A., Nakhshina, L.P., and Prokudina, A.V., First results of operation of the system of collective detection of infrasonic signals and location of their sources on the basis of stations ARCES and Apatity, Materialy Mezhdunarodnoi nauchno-tekhnicheskoi konferentsii (Proc. Int. Sci.-Tech. Conf.), Murmansk, 2010, Murmansk: Murmansk. Gos. Tekh. Univ., 2010, pp. 334–337.

  6. Asming, V.E., Vinogradov, Yu.A., and Prokudina, A.V., Modeling of seismic location and three-dimensional environments, Vestn. MGTU. Tr. Murmansk. Gos. Tekh. Univ., 2013, vol. 16, no. 4, pp. 644–649.

  7. Asming, V.E., Evtyugina, Z.A., and Vinogradov, Yu.A., Calibration of velocity model of Khibiny Mountain Massif and adjoining territory using registration of industrial explosions, Vestnik MGTU. Tr. Murmansk. Gos. Tekh. Univ., 2015a, vol. 18, no. 2, pp. 171–177.

  8. Asming, V.E., Kremenetskaya, E.O., Vinogradov, Yu.A., and Fedorov, A.V., On usage of naive Bayesian classifiers in seismology, Seism. Prib., 2015b, vol. 51, no. 4, pp. 29–40.

    Google Scholar 

  9. Asming, V.E., Vinogradov, Yu.A., Voronin, A.I., Fedorov, A.V., Chigerev, E.N., and Roskin, O.K., Determining places of falling of launch vehicle fragments using infrasonic observations, Izv., Atmos. Ocean. Phys., 2016, vol. 52, no. 6, pp. 629–636. https://doi.org/10.1134/S0001433816060037

    Article  Google Scholar 

  10. Asming, V.E., Gileva, N.A., and Karpinskii, V.V., Experience of implementation of the NSDL system in Geophysical Survey of RAS, Sovremennye metody obrabotki i interpretatsii seismologicheskikh dannykh. Materialy XIII Mezhdunarodnoi seismologicheskoi shkoly (Modern Methods of Processing and Interpreting Seismological Data: Proc. 13th Int. Seismological School), Dushanbe, 2018, Obninsk, Kaluga oblast: Fed. Issled. Tsentr Edinaya Geofiz. Sluzhba Ross. Akad. Nauk, 2018, pp. 30–34.

  11. Asming, V.E., Fedorov, A.V., Vinogradov, Yu.A., Chebrov, D.V., Baranov, S.V., and Fedorov, I.S., Fast infrasonic event detector and its application, Geofiz. Issled., 2021a, vol. 22, no. 1, pp. 54–67. https://doi.org/10.21455/gr2021.1-4

    Article  Google Scholar 

  12. Asming, V.E., Fedorov, A.V., and Prokudina, A.V., The program LOS for interactive seismic and infrasonic data processing, Ross. Seismol. Zh., 2021b, vol. 3, no. 1, pp. 27–40. https://doi.org/10.35540/2686-7907.2021.1.02

    Article  Google Scholar 

  13. Asming, V.E., Fedorov, A.V., Korchak, P.A., and Motorin, A.Yu., LORS2 software package for monitoring the seismicity of the Khibiny massif: Construction principles and basic algorithms, Seism. Instrum., 2021c, vol. 57, no. 1, pp. 27–37. https://doi.org/10.3103/S0747923921010059

    Article  Google Scholar 

  14. Asming, V.E., Asming, S.V., Fedorov, A.V., Yevtyugina, Z.A., Chigerev, Ye.N., and Kremenetskaya, E.O., System for automatic recognition of types of sources of regional seismic events, Seism. Instrum., 2022, vol. 58, no. 5, pp. 509–522. https://doi.org/10.3103/S0747923922050036

    Article  Google Scholar 

  15. Bondar, I. and North, R.G., Development of calibration techniques for potential use by the CTBT International Monitoring System, Phys. Earth Planet. Inter., 1999, vol. 113, nos. 1–4, pp. 11–24.

    Article  Google Scholar 

  16. Cox, R.T., Algebra of Probable Inference, Johns Hopkins Univ. Press, 2001.

    Google Scholar 

  17. Dijkstra, E.W., A note on two problems in connexion with graphs, Numerische Mathematik, 1959, vol. 1, no. 1, pp. 269–271. https://doi.org/10.1007/BF01386390

    Article  Google Scholar 

  18. Fedorov, A.V., Asming, V.E., Jevtyugina, Z.A., and Prokudina, A.V., Automated seismic monitoring system for the European Arctic, Seism. Instrum., 2018, vol. 55, no. 1, pp. 17–23. https://doi.org/10.3103/S0747923919010067

    Article  Google Scholar 

  19. Fedorov, A.V., Fedorov, I.S., Voronin, A.I., and Asming, V.E., Mobile infrasound avalanche monitoring system: General design principle and application of results, Seism. Instrum., 2021a, vol. 57, no. 4, pp. 369–375. https://doi.org/10.3103/S0747923921040058

    Article  Google Scholar 

  20. Fedorov, A.V., Fedorov, I.S., Voronin, A.I., and Asming, V.E., Determination of snow avalanches driving parameters by infrasonic observation data, Sovremennye metody obrabotki i interpretatsii seismologicheskikh dannykh. Tezisy XV Mezhdunarodnoi seismologicheskoi shkoly (Modern Methods of Procesing and Interpreting Seismological Data: Proc. 15th Int. Seismological School), Novosibirsk, 2021, Obninsk, Kaluga oblast: Fed. Issled. Tsentr Edinaya Geofiz. Sluzhba Ross. Akad. Nauk, 2021b, p. 96.

  21. Suarez, G., van Eck, T., Giardini, D., Ahern, T., Butler, R., and Tsuboi, S., The International Federation of Digital Seismograph Networks (FDSN): An integrated system of seismological observatories, IEEE Syst. J., 2008, vol. 2, no. 3, pp. 431–438. https://doi.org/10.1109/JSYST.2008.2003294

    Article  Google Scholar 

  22. Hedin, A.E., Biondi, M.A., Burnside, R.G., Hernandez, G., Johnson, R.M., Killeen, T.L., Mazaudier, C., Meriwether, J.W., Salah, J.E., Sica, R.J., Smith, R.W., Spencer, N.W., Wickwar, V.B., and Virdi, T.S., Revised global model of thermosphere winds using satellite and ground-based observations, J. Geophys. Res., 1991, vol. 96, no. A5, pp. 7657–7688. https://doi.org/10.1029/91JA00251

    Article  Google Scholar 

  23. Kremenetskaya, E., Asming, V., and Ringdal, F., Seismic location calibration of the European Arctic, Pure Appl. Geophys., 2001, vol. 158, no. 1, pp. 117–128. https://doi.org/10.1007/PL00001151

    Article  Google Scholar 

  24. Morozov, A.N., Vaganova, N.V., Shakhova, E.V., Konechnaya, Ya.V., Asming, V.E., Antonovskaya, G.N., and Evtyugina, Z.A., Seismicity of the Arctic in the early twentieth century: Relocation of the 1904–1920 earthquakes, Bull. Seismol. Soc. Am., 2019, vol. 109, no. 5, pp. 2000–2008. https://doi.org/10.1785/0120190018

    Article  Google Scholar 

  25. Picone, J.M., Hedin, A.E., Drob, D.P., and Aikin, A.C., NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues, J. Geophys. Res., 2002, vol. 107, no. A12, pp. SIA15-1–SIA-15-16. https://doi.org/10.1029/2002JA009430

  26. Raykova, R.B. and Nikolova, S.B., Review of digital formats for exchange and processing of seismological data, Bulg. Geophys. J., 2000, vol. 26, nos. 1–4, pp. 39–54.

    Google Scholar 

  27. Ringdal, F. and Kværna, T., A multi-channel processing approach to real time network detection, phase association, and threshold monitoring, Bull. Seismol. Soc. Am., 1989, vol. 79, no. 6, pp. 1927–1940. https://doi.org/10.1785/BSSA0790061927

    Article  Google Scholar 

  28. Sanina, I.A., Riznichenko, O.Yu., and Volosov, S.G., 15 years of small-aperture group Mikhnevo of the Institute of Geosphere Dynamics, Russian Academy of Sciences: Results and Prospects, Sb. trudov konferentsii Problemy kompleksnogo geofizicheskogo monitoringa Dal’nego Vostoka Rossii (Proc. Conf. of Problems of complex geophysical monitoring of Russian Far East), Petropavlovsk-Kamchatskii, 2019, Obninsk: Fed. Issled. Tsentr Edinaya Geofiz. Sluzhba Ross. Akad. Nauk, 2019, pp. 211–215.

  29. Sleeman, R. and van Eck, T., Robust automatic P-phase picking: An on-line implementation in the analysis of broadband seismogram recordings, Phys. Earth Planet Inter., 1999, vol. 113, nos. 1–4, pp. 265–275. https://doi.org/10.1016/S0031-9201(99)00007-2

    Article  Google Scholar 

  30. Tulup’ev, A.L., Nikolenko, S.I., and Sirotkin, A.V., Baiesovskie seti. Logiko-veroyatnostnyi podkhod (Bayesian Networks: Logico-Probabilistic Approach), St. Petersburg: Nauka, 2006.

  31. Yang, X., Bondar, I., McLaughlin, K., and North, R., Source specific station corrections for regional phases at Fennoscandian stations, Monitoring the Comprehensive Nuclear-Test-Ban Treaty: Source Location, Pageoph Topical Volumes, Basel: Birkhäuser, 2001, pp. 35–57. https://doi.org/10.1007/978-3-0348-8250-7_5

    Book  Google Scholar 

  32. Zhdan, A.N., Istoriya psikhologii. Uchebnik (History of Psychology: Textbook), Moscow: Mosk. Gos. Univ.,1990, pp. 199–209.

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ACKNOWLEDGMENTS

The study was carried out using data obtained at the unique scientific installation “Seismoinfrasonic Equipment for Monitoring Arctic Permafrost and Continuous Seismic Monitoring of the Russian Federation, Adjacent Territories, and the World.”

Funding

The study was supported by the Ministry of Education and Science of the Russian Federation (state task no. 075-01471-22).

Author information

Authors and Affiliations

  1. Kola Branch, Geophysical Survey, Russian Academy of Sciences, 184200, Apatity, Russia

    V. E. Asming, A. V. Fedorov & A. V. Prokudina

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

    Yu. A. Vinogradov

Authors
  1. V. E. Asming
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  2. A. V. Fedorov
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  3. Yu. A. Vinogradov
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  4. A. V. Prokudina
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Corresponding author

Correspondence to A. V. Fedorov.

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Asming, V.E., Fedorov, A.V., Vinogradov, Y.A. et al. Software for Interactive and Automated Seismic and Infrasonic Data Processing. Seism. Instr. 58 (Suppl 2), S204–S218 (2022). https://doi.org/10.3103/S0747923922080047

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