Skip to main content
SpringerLink
Log in

Identification of a geological region for earthquakes using syntactic pattern recognition of seismograms

  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

A relational database has been developed which permits the storage and retrieval of waveforms, together with essential parameters of events. The capability of the method is tested by applying it to broad-band records from the Geoscope Noumea station (New Caledonia).

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

Similar content being viewed by others

References

  1. Bonnin, J., Gvishiani, A., Zhizhin, M., Mohammadioun, B., and Sallantin, J.: 1991, Strong motion data classification using syntactic pattern recognition scheme,Proc. Fourth Int. Conf. Seismic Zonation, Stanford, Vol. II, pp. 549–555.

    Google Scholar 

  2. Dziewonski, A., Bloch, S., and Landisman, M.: 1969, A technique for the analysis of transient seismic signals,Bull. Seismol. Soc. Am. 59, 734–745.

    Google Scholar 

  3. Gvishiani, A., Zhizhin, M., and Ivanenko, T.: 1989, Pattern recognition of waveforms of foremain, and aftershocks: evidence of difference from strong motion data,Annales Geophysicae, XIV General Assembly EGS, Barcelona 13–17 March 1989, Special Issue 13.

  4. Hand, D. J.: 1986, Recent advances in error rate estimation.Pattern Recognition Lett. 4, 335–346.

    Google Scholar 

  5. Joswig, M.: 1990, Pattern recognition for earthquake detection,Bull. Seismol. Soc. Am. 90, 170–186.

    Google Scholar 

  6. Levenstein, V. I.: 1965, Binary codes with use of deletions, insertions and substitutions of symbols,Dokl. AN SSSR 163, 845–848.

    Google Scholar 

  7. Liu, H.H., and Fu, K. S.: 1982, A syntactic approach to seismic pattern recognition,IEEE Trans. Pattern Analysis Machine Intell. PAMI-4, 136–140.

    Google Scholar 

  8. Zhizhin, M., Gvishiani, A., Bottard, S., Mohammadioun, B., and Bonnin, J.: 1992, Classification of strong motion waveforms from different geological regions using syntactic pattern recognition scheme,Cahiers du Centre Européen de Géodynamique et de Séismologie,6, 33–42.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center of Geophysical Computer Data Studies, Institute of Physics of the Earth, Russian Academy of Sciences and International Lithosphere Program, PO Box 23, 109651, Moscow, Russia

    M. Zhizhin & A. Gvishiani

  2. Institut de Physique du Globe, Université Louis Pasteur, 5 rue René Descartes, F-67084, Strasbourg Cedex, France

    D. Rouland & J. Bonnin

  3. Institut de Protection et de Sûreté Nucléaire, PO Box 6, F-92265, Fontenay-aux-Roses, France

    B. Mohammadioun

Authors
  1. M. Zhizhin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Gvishiani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. Rouland
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. Bonnin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. B. Mohammadioun
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhizhin, M., Gvishiani, A., Rouland, D. et al. Identification of a geological region for earthquakes using syntactic pattern recognition of seismograms. Nat Hazards 10, 139–147 (1994). https://doi.org/10.1007/BF00643448

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00643448

Key words

Search

Navigation