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The Korean Institute of Electrical Engineers (대한전기학회)
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Earthquake Event Auto Detection Algorithm using Accumulated Time-Frequency Changes and Variable Threshold

시간-주파수 누적 변화량과 가변 임계값을 이용한 지진 이벤트 자동 검출 알고리즘

  • 최훈 (동의대학교 전자공학과)
  • Received : 2012.03.29
  • Accepted : 2012.07.17
  • Published : 2012.08.01
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Abstract

This paper presents a new approach for the detection of seismic events using accumulated changes on time-frequency domain and variable threshold. To detect seismic P-wave arrivals with rapidness and accuracy, it is that the changes on the time and the frequency domains are simultaneously used. Their changes are parameters appropriated to reflect characteristics of earthquakes over moderate magnitude(${\geq}$ magnitude 4.0) and microearthquakes. In addition, adaptively controlled threshold values can prevent false P-wave detections due to low SNR. We tested our method on real earthquakes those have various magnitudes. The proposed algorithm gives a good detection performance and it is also comparable to STA/LTA algorithm in computational complexity. Computer simulation results shows that the proposed algorithm is superior to the conventional popular algorithm (STA/LTA) in the seismic P-wave detection.

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References

  1. J. Aschau and A. N. Kuppers, Early Warning Systems for Natural Disaster Reduction, Springer, 2003.
  2. Y. M. Wu and H. Kanamori, "Development of an earthquake early warning system using real-time strong motion signals," Sensors, vol. 8, pp. 1-9, 2008. https://doi.org/10.1109/JSEN.2008.2010121
  3. R. M. Allen and H. Kanamori, "The potential for earthquake early warning in southern California," Science, vol. 300, pp. 786-789, May 2003. https://doi.org/10.1126/science.1080912
  4. R. M. Allen, P. Gasparini, O. Kamigaichi and M. Bose, "The status of earthquake early warning around the world : an introductory overview," Seismological Research Letters, vol. 80, pp. 682-693, Sep. 2009.
  5. H. C. Chi et al, Designing of the National Earthquake Early Warning System and Expanding of Realtime Data Sharing, KIGAM, 2010.
  6. S. G. Kim, Theoretical Seismology, HUMHAN Book, 2010.
  7. P. Earle and P.M. Shearer, "Characterization of global seismograms using an automatic-picking algorithm," Bull. Seismol. Soc. Am., pp. 366-376, 1994.
  8. C. Tong and B. L. N. Kennett, "Automatic seismic event recognition and later phase identification for broadband seismograms," Bull. Seismol. Soc. Am., pp. 1896-1909, 1996.
  9. M. Withers, R. Aster, C. Young, J. Beiriger, M. Harris, S. Moore and J. Trujillo, "A comparison of select trigger algorithms for automated global seismic phase and event location," Bull. Seismol. Soc. Am., pp. 95-106, 1998.
  10. A. Hidani and H. Yamanaka, "Automatic picking of seismic arrivals in strong motion data using an artificial neural network," Environ. Sci. Technol., 2003.
  11. K.S. Anant and F.U. Dowla, "Wavelet transform methods for phase identification in three-component seismograms," Bull. Seismol. Soc. Am., pp. 1598-1612, 1997.
  12. O. H. Colak, T. C. Destici, S. Ozen, O. Cerezci and N. Ary, "P phase and S phase detection using the Daubechies wavelet transform (DWT) to minimize the noise at three component seismograms displacement records," 13th European Signal Processing Conference, 2005.
  13. H. Zhang, C. Thurber and C. Rowe, "Automatic p-wave arrival detection and picking with multiscale wavelet analysis for single-component recordings," Bull. Seismol. Soc. Am., pp. 1904-1912, 2003
  14. M. Baer and U. Kradolfer, "An automatic phase picker for local and teleseismic events," Bull. Seismol. Soc. Am., vol. 77, pp. 1437-1445, 1987.
  15. J. Wong, L. Han, J. C. Bancroft and R. R. Stewart, "Automatic time-picking of first arrivals on noisy microseismic data," Proc. CSEG, 2009 CSPG CSEG CWLS Convention, 2009.
  16. J. H. Lee, J. B. Kyung, "A Study on Response Spectrums and Characteristics of Time-Frequency Domain of Microearthquakes in the Central Part of South Korea," Jour. of EESK, pp. 72-79, Sep. 1999.
  17. J. S. Shin, T. S. Kang, "Distance Dependency of Corner Frequencies for Earthquakes in and around the Korean Peninsula," Jour. of EESK, vol. 63, pp. 39-45, Oct. 2008.

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