Faster Short-Distance Earthquake Early Warning Using Continued Monitoring of Filtered Vertical Displacement: A Case Study for the 2010 Jiasian, Taiwan, Earthquake

Wu, Yih‐Min; Lin, Tsair-Fuh; Chao, Wei An; Huang, Hsin‐Hua; Hsiao, Nai Chi; Chang, Chien Hsin

doi:10.1785/0120100153

Cited by 26 publications

(12 citation statements)

References 25 publications

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“…The signal resolution is 16 bits with a measurement range from -2 to +2 g. The software algorithm enables the device to capture the initial P-waves and estimate parameters like peak amplitude of displacement (Pd) as it is triggered. When the up-coming seismic waves estimation exceeds the configured thresholds, Pd larger than 3.5 cm or PGA larger than 80 gal, the device starts sending alarms for onsite EEW purposes (Kanamori 2005;Kanamori 2005a, 2005b;Wu et al 2011Wu et al , 2013a.…”

Section: Low Cost Seismic Networkmentioning

confidence: 99%

Low Cost Seismic Network Practical Applications for Producing Quick Shaking Maps in Taiwan

Hsieh¹,

Wu²,

Chin³

et al. 2014

Terr. Atmos. Ocean. Sci.

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Two major earthquakes of M L greater than 6.0 occurred in Taiwan in the first half of 2013. The vibrant shaking brought landslides, falling rocks and casualties. This paper presents a seismic network developed by National Taiwan University (NTU) with 401 Micro-Electro Mechanical System (MEMS) accelerators. The network recorded high quality strong motion signals from the two events and produced delicate shaking maps within one minute after the earthquake occurrence. The high shaking regions of the intensity map produced by the NTU system suggest damage and casualty locations. Equipped with a dense array of MEMS accelerometers, the NTU system is able to accommodate 10% signals loss from part of the seismic stations and maintain its normal functions for producing shaking maps. The system also has the potential to identify the rupture direction which is one of the key indices used to estimate possible damage. The low cost MEMS accelerator array shows its potential in real-time earthquake shaking map generation and damage avoidance.

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Section: Low Cost Seismic Networkmentioning

confidence: 99%

Low Cost Seismic Network Practical Applications for Producing Quick Shaking Maps in Taiwan

Hsieh¹,

Wu²,

Chin³

et al. 2014

Terr. Atmos. Ocean. Sci.

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“…Wu et al (2011) tested a short-distance EEW approach for the 2010 Jiasian earthquake, which is a threshold-based approach using continued monitoring of filtered vertical displacements. They showed that the tested short-distance EEW approach can provide a timely warning for the target sites located less than 50 km away from the epicenter.…”

Section: Earthquake Hazards Potential In Southern Taiwanmentioning

confidence: 99%

The Preliminary Study of the 4 March 2010 Mw 6.3 Jiasian, Taiwan Earthquake Sequence

Huang

Lin

et al. 2011

Terr. Atmos. Ocean. Sci.

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On 4 March 2010, an inland M w 6.3 earthquake occurred near the town of Jiasian in Kaohsiung County, Taiwan causing large ground shaking and extensive damage. In this study, we integrate the records from the Central Weather Bureau Seismic Network (CWBSN) and Taiwan Strong Motion Instrumentation Program (TSMIP) to obtain the relocated earthquake sequence and its first-motion focal mechanisms. This dataset offers us precise and reliable results which suggest a focal depth of 23 km and a possible fault plane of strike 313°, dip 41°, and rake 42° for the Jiasian earthquake. This fault plane significantly differs from the N-S striking Chaochou Fault (CCF) as well as the principal trend of Taiwan orogenic belt, and should be an undiscovered fault in southern Taiwan. The relocated Jiasian earthquake sequence initiating from the 23-km-deep mainshock and terminating at around 10 km in depth also indicates it is a blind fault. Peak ground acceleration (PGA) and peak ground velocity (PGV) recorded by the TSMIP stations reveal a distinct NW-SE-shape pattern from the epicenter area toward the Chiayi region, likely due to the directivity and site effects. Such phenomena should be considered for future regional hazard assessments.

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“…During strong ground shaking, a crane operating on top of the construction area of the Taipei 101, the tallest building in Taiwan (508 m tall), crashed and dropped to the ground. The 2010 M w 6.3 Jiasian earthquake brought strong ground motions to southern Taiwan, causing an operating Taiwan High Speed Rail train to run off its tracks (Huang et al, 2011;Wu et al, 2011). Given these types of incidents in Taiwan, a reliable and fast EEW system is urgently needed to provide early warnings for the next large earthquake.…”

Section: Introductionmentioning

confidence: 99%

The Earthworm Based Earthquake Alarm Reporting System in Taiwan

Chen¹,

Hsiao²,

2015

Bulletin of the Seismological Society of America

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For more than 10 years, the Central Weather Bureau of Taiwan has operated an earthquake early warning (EEW) system and has issued warnings for specific agencies. For the past two years, the Earthworm platform has been used to integrate real-time seismic data streams from different types of seismic stations and to monitor seismicity in Taiwan. Using the Earthworm platform, the Earthworm Based Earthquake Alarm Reporting (eBEAR) system is currently in development for shortening reporting times and improving the accuracy of warnings for EEW purposes. 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. To calibrate the eBEAR system, an offline test was implemented using 154 earthquakes with magnitudes ranging from M L 4.0 to 6.5. In a comparison of online performance using the current EEW system, the eBEAR system reduced reporting times and improved the accuracy of offshore earthquake locations and magnitudes. 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. The eBEAR system now delivers warnings to elementary and junior high schools in Taiwan.

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Faster Short-Distance Earthquake Early Warning Using Continued Monitoring of Filtered Vertical Displacement: A Case Study for the 2010 Jiasian, Taiwan, Earthquake

Cited by 26 publications

References 25 publications

Low Cost Seismic Network Practical Applications for Producing Quick Shaking Maps in Taiwan

Low Cost Seismic Network Practical Applications for Producing Quick Shaking Maps in Taiwan

The Preliminary Study of the 4 March 2010 Mw 6.3 Jiasian, Taiwan Earthquake Sequence

The Earthworm Based Earthquake Alarm Reporting System in Taiwan

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