• Title/Summary/Keyword: Volcano early warning system

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Analysis of the Active Volcano Monitoring Program of China (중국의 활화산 모니터링 프로그램에 대한 분석)

  • Yun, Sung-Hyo;Chang, Cheolwoo
    • The Journal of the Petrological Society of Korea
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    • v.25 no.1
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    • pp.95-106
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    • 2016
  • The distribution of active volcanoes in China, overview of an active volcano monitoring of China, monitoring equipment status in China volcano observatory, and Changbaishan volcano observatory and volcano early warning system plan were investigated in this study.

Optimization of Classification of Local, Regional, and Teleseismic Earthquakes in Korean Peninsula Using Filter Bank (주파수 필터대역기술을 활용한 한반도의 근거리 및 원거리 지진 분류 최적화)

  • Lim, DoYoon;Ahn, Jae-Kwang;Lee, Jimin;Lee, Duk Kee
    • Journal of the Korean Geotechnical Society
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    • v.35 no.11
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    • pp.121-129
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    • 2019
  • An Earthquake Early Warning (EEW) system is a technology that alerts people to an incoming earthquake by using P waves that are detected before the arrival of more severe seismic waves. P-wave analysis is therefore an important factor in the production of rapid seismic information as it can be used to quickly estimate the earthquake magnitude and epicenter through the amplitude and predominant period of the observed P-wave. However, when a large-magnitude teleseismic earthquake is observed in a local seismic network, the significantly attenuated P wave phases may be mischaracterized as belonging to a small-magnitude local earthquake in the initial analysis stage. Such a misanalysis may be sent to the public as a false alert, reducing the credibility of the EEW system and potentially causing economic losses for infrastructure and industrial facilities. Therefore, it is necessary to develop methods that reduce misanalysis. In this study, the possibility of seismic misclassifying teleseimic earthquakes as local events was reviewed using the Filter Bank method, which uses the attenuation characteristics of P waves to classify local and outside Korean peninsula (regional and teleseismic) events with filtered waveform depending on frequency and epicenter distance. The data used in our analysis were analyzed for maximum Pv values using 463 events with local magnitudes (2 < ML ≦ 3), 44 (3 < ML ≦ 4), 4 (4 < ML ≦ 5), 3 (ML > 5), and 89 outside Korean peninsula earthquakes recorded by the KMA seismic network. The results show that local and telesesimic earthquakes can be classified more accurately when combination of filtering bands of No. 3 (6-12 Hz) and No. 6 (0.75-1.5 Hz) is applied.