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Original Article

국내에서의 지진현장경보 기술 고도화 및 적용

원문정보

Advanced and Application of Onsite EEW Technology in Korea

이호준, 전인찬, 서정범, 이진구

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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 Tc : 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.

한국어

연구목적: 본 연구는 기존 지진현장경보 연구를 통해 단일 지진계에서 관측한 P파로부터 PGV 값을 예 측하기 위한 예측식을 제시하고, 예측 결과를 현장경보에 이용하기 위한 기술적 접근 방안들을 도출하 기 위한 것이다. 연구방법: 과거 4년간 규모 3,0 이상의 지진가운데 진도등급 II 이상의 데이터를 이용하 여 P파로부터 PGV를 예측하기 위한 수식을 도출하고, 진원 정보 추정 없이 지진의 규모와 PGV의 크기 를 상대적으로 비교하여 지진위험을 알려줄 수 있는 기술을 적용하였다. 연구결과: 개선한 PGV 예측식 은 평균 94.8%의 정확도로 MMI를 추정하였고, Tc : Pd 방법 역시 로컬 지진위험을 경보하기 위한 유효 한 성과를 보여주었다. 결론: 현장경보기술을 국내에 성공적으로 적용하였으며, 경보공백역을 약 14km 까지 줄일 수 있는 방안을 제시하였다.

목차

ABSTRACT
요약
개요
지진현장경보를 위한 예측식 도출
지진기록 수집 및 선별
P파 정보 및 PGV를 이용한 예측식 도출
τc : Pd 지진현장경보
현장경보 시뮬레이션
결론
Acknowledgement
References

저자정보

  • 이호준 Ho Jun Lee. Director, KIT Valley Co., Anyang, Republic of Korea
  • 전인찬 Inchan Jeon. Senior Research Engineer, KIT Valley Co., Seoul, Republic of Korea
  • 서정범 Jeong Beom Seo. Director, KIT Valley Co., Uijeongbu, Republic of Korea
  • 이진구 Jin Koo Lee. Principal Research Engineer, KIT Valley Co., Seoul, Republic of Korea

참고문헌

자료제공 : 네이버학술정보
  • 1An on‐site alert level early warning system for Italy네이버 원문 이동
  • 2A P wave‐based, on‐site method for earthquake early warning네이버 원문 이동
  • 3Hwang, E.H. (2018). “Analytical performance and realtime operation result of earthquake early warning system in Korea.” Proceeding of International Seminar on Earthquake Policy Development, pp.229-241.
  • 4Benefits and Costs of Earthquake Early Warning네이버 원문 이동
  • 5Real-Time Seismology and Earthquake Damage Mitigation네이버 원문 이동
  • 6Lee, H.J., Jeon, I., Seo, J.B., Lee, J.K. (2018). “Application of the onsite earthquake early warning technology using the seismic P-wave in Korea.” Journal of the Society of Disaster Information, Vol. 14, No. 4, pp. 440-449. doi:10.15683/kosdi.2018.12.31.440.
  • 7Lee, H.J., Jeon, I, Seo, J.B., Lee, J.K. (2020). “Application of the onsite EEW technology using the P-wave of seismic records in Korea.” Journal of the Society of Disaster Information, Vol. 16, No. 1, pp. 133-143, doi: 10. 15683/kosdi.2020.3.31.133.
  • 8A successful approach to earthquake early warning systems네이버 원문 이동
  • 9Automatic Picker Developments and Optimization: FilterPicker-a Robust, Broadband Picker for Real-Time Seismic Monitoring and Earthquake Early Warning네이버 원문 이동
  • 10Meguro, K., Fujinawa, Y. (2007). Earthquake Early Warning. Todai Seisan Gijutu Institute, Japan.
  • 11Ministry of Public Safety and Security (2017). Common Application of Seismic Design Standards, Korea.
  • 12Generalized Seismic Phase Detection with Deep Learning네이버 원문 이동
  • 13Seo, J.B. (2020). “Status and prospects of onsite earthquake early warning using machine learning.” Information &Communications Magazine, Vol. 37, No. 4, pp. 46-53.
  • 14Wu, B.R., Hsiao, N.C., Lin, P.Y., Hsu, T.Y., Chen, C.Y., Huang, S.K., Chiang, H.W. (2017). “An integrated earthquake early warning system and its performance at schools in Taiwan” Journal of Seismology, Vol. 21, pp. 165-180, doi: 10.1007/s10950-016-9595-3.
  • 15Experiment on an Onsite Early Warning Method for the Taiwan Early Warning System네이버 원문 이동
  • 16Development of an Earthquake Early Warning System Using Real-Time Strong Motion Signals네이버 원문 이동
  • 17Wu, Y.M., Shieh, J.T., Huang, W.T., Zhao, W.A. (2008). Development of earthquake early warning system using initial P waves (II), Department of Geosciences, National Taiwan University, RG9902-0123, Central Weather Bureau, Taiwan.
  • 18Youn, S.M. (2020). “The impact of the government's earthquake disaster response capabilities and the legal and institutional appropriateness of the disaster management system on the operational performance of disaster management : Focused on fire officer’s consciousness.” Journal of the Society of Disaster Information, Vol.16, No. 2, pp. 318-330.
  • 19Zhu, W., Beroza, G.C. (2019). “Phasenet: A deep-neural-network-based seismic arrival-time picking method.”Geophysical Journal International, Vol. 216, No. 1, pp. 261-273.

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