• Title/Summary/Keyword: 경보공백역

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Advanced and Application of Onsite EEW Technology in Korea (국내에서의 지진현장경보 기술 고도화 및 적용)

  • Lee, Ho Jun;Jeon, Inchan;Seo, Jeong Beom;Lee, Jin Koo
    • Journal of the Society of Disaster Information
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    • v.16 no.4
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    • pp.670-681
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    • 2020
  • Purpose: This study aims to derive a PGV prediction equation and to enhance the application of the Onsite EEW technology which has developed through previous studies. Method: The prediction equation for the Onsite EEW derived from earthquake data M≥3.0 and MMI≥II over the past four years. Local seismic risk is estimated using M and PGV deduced from P wave properties. Result: The improved PGV prediction equation estimated the MMI with an average accuracy of 94.8% and the 𝜏c : Pd method also showed valid performance for alerting local seismic risks. Conclusion: Onsite EEW technology is successfully applied to Korea, and becomes to reduce the blind zone to about 14km.

Application of the Onsite Earthquake Early Warning Technology Using the Seismic P-Wave in Korea (P파를 이용한 지진 현장 경보체계기술의 국내 적용)

  • Lee, Ho-Jun;Lee, Jin-Koo;Jeon, Inchan
    • Journal of the Society of Disaster Information
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    • v.14 no.4
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    • pp.440-449
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    • 2018
  • Purpose: This study aims to design and verify an onsite EEWS that extracts the P-wave from a single seismic station and deduce the PGV. Method: The P-wave properties of Pd, Pv, and Pa were calculated by using 12 seismic waveform data extracted from historic seismic records in Korea, and the PGVs were computed using empirical equation on the P properties - PGV relationship and compared with the observed values. Results: Comparison of the observed and estimated PGVs within the alarm level shows the error rate of 86.7% as minimum. By reducing the PTW to 2 seconds, the alarm time can be shortened by 1 second and the seismic blind zone near the epicenter can be shortened by 6 Km. Conclusion: Through this study, we confirmed the availability of the on-site EEWS in Korea. For practical use, it is necessary to develop regression formula and algorithm reflect local effect in Korea by increasing the number of seismic waveform data through continuous observation, and to eliminate the noise from the site.