Japan Geoscience Union Meeting 2016

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International Session (Oral)

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

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

Sun. May 22, 2016 9:00 AM - 10:30 AM 106 (1F)

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), Chair:Mitsuyuki Hoshiba(Meteorological Research Institute), Fumiko Tajima(University of California at Irvine), Hellweg Margaret(Berkeley Seismological Lab)

10:00 AM - 10:15 AM

[SSS01-05] The Performance of Earthworm Based Earthquake Alarm Reporting system in Taiwan

*TA-YI CHEN1, Nai-Chi Hsiao1, Yih-Min Wu2 (1.Central Weather Bureau, Taiwan, 2.Department of Geosciences, National Taiwan University, Taiwan)

Keywords:real-time, earthquake early warning, earthworm

The Central Weather Bureau of Taiwan has operated an earthquake early warning (EEW) system and issued warnings to schools and government agencies since 2014. Because the real-time seismic data streams are integrated by the Earthworm software, some EEW modules were created under the Earthworm platform. The system is named Earthworm Based Earthquake Alarm Reporting (eBEAR) system, which is currently operating. The eBEAR system consists of new Earthworm modules for managing P-wave phase picking, trigger associations, hypocenter locations, magnitude estimations, and alert filtering prior to broadcasting. Here, we outline the methodology and performance of the eBEAR system. The online performance of the eBEAR system indicated that the average reporting times afforded by the system are approximately 15 and 26 s for inland and offshore earthquakes, respectively. Comparing to the earthquake catalog, the difference of the epicenters are less than 10 km for inland earthquakes; the difference of the magnitude are about 0.3. No false alarms generated by the system, but there were three false alarms issued by human. Due to the wrong operations, the EEW information created by off-line test were sent. However, we have learned from it and improved the standard operation procedure in the EEW system.