Japan Geoscience Union Meeting 2016

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International Session (Poster)

Symbol S (Solid Earth Sciences) » S-SS Seismology

[S-SS01] Earthquake early warning developments around the world

Sun. May 22, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Fumiko Tajima(University of California at Irvine), Masumi Yamada(Disaster Prevention Research Institute, Kyoto University), Hellweg Margaret(Berkeley Seismological Lab), Richard Allen(University of California Berkeley), Mitsuyuki Hoshiba(Meteorological Research Institute), Douglas Given(USGS Pasadena Field Office)

5:15 PM - 6:30 PM

[SSS01-P05] Reduce False Alarm Due to Non-Earthquake Events for On-Site Earthquake Early Warning System in Schools

*Ting-Yu Hsu1, Shieh-Kung Huang2, Hung-Wei Chiang2, Pei-Yang Lin1, Kung-Chung Lu2 (1.Researcher, 2.Assistant Researcher)

Keywords:On-Site Earthquake Early Warning, False Alarm, Non-Earthquake Events

An on-site earthquake early warning system (EEWS) can provide more lead-time at regions that are close to the epicentre of an earthquake since only seismic information of a target site is required. The on-site system extracts some P-wave features from the first few seconds of vertical ground acceleration of a single station and then predicts the intensity of the forthcoming earthquake at the same station according to these features. However, the system may be triggered by some vibration signals that are not caused by an earthquake or by interference from electronic signals, which may consequently result in a false alarm at the station. In order to reduce false alarms caused by non-earthquake events and at the same time keep earthquake alarms, an approach based on Support Vector Classification (SVC) and Singular Spectrum Analysis (SSA) is proposed. The established SVC model are employed to classify the vibration signals and then a SSA criterion is added for identifying earthquake events that are classified as non-earthquake events by the SVC model with increased accuracy. The proposed approach is verified by using data collected from earthquake early warning stations of the National Center for Research on Earthquake Engineering (NCREE). The results indicate that the proposed approaches effectively reduce the possibility of false alarms caused by unknown vibration events.