A Fast Magnitude Estimation for the 2011 Mw 9.0 Great Tohoku Earthquake

Lin, Tsair-Fuh; Wu, Yih‐Min

doi:10.1785/0220110119

Cited by 7 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…13.1) is derived for earthquakes in Southern California and there was no such relationship available during the construction phase of the Hualien EEW network. However, recently result (Lin and Wu 2012) indicates that the effective shaking method of Wu and Teng (2004) provides excellent magnitude estimation for the 2011 Tohoku earthquake, without a saturation problem. The standard deviation (1.24) shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

Early Warning for Geological Disasters

Wenzel¹,

Zschau²

2014

Advanced Technologies in Earth Sciences

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Early Warning for Geological Disasters

Wenzel¹,

Zschau²

2014

Advanced Technologies in Earth Sciences

View full text Add to dashboard Cite

“…The 2011 M w 9.0 Tohoku earthquake demonstrated that for a large earthquake the magnitude cannot be determined using only the initial signals from several seconds (Hoshiba and Iwakiri 2011;Colombelli et al 2012). The on-scale magnitude determination approaches such as W-phase fast source inversion (Duputel et al 2012) and quick M w determination using total effective shakings (Wu and Teng 2004;Lin and Wu 2012) could be considered in a future system.…”

Section: Discussionmentioning

confidence: 99%

Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan

Chen¹,

Wu²,

Chin³

2015

Terr. Atmos. Ocean. Sci.

View full text Add to dashboard Cite

A dense seismic network can increase Earthquake Early Warning (EEW) system capability to estimate earthquake information with higher accuracy. It is also critical for generating fast, robust earthquake alarms before strong-ground shaking hits the target area. However, building a dense seismic network via traditional seismometers is too expensive and may not be practical. Using low-cost Micro-Electro Mechanical System (MEMS) accelerometers is a potential solution to quickly deploy a large number of sensors around the monitored region. An EEW system constructed using a dense seismic network with 543 MEMS sensors in Taiwan is presented. The system also incorporates the official seismic network of Taiwan's Central Weather Bureau (CWB). The real-time data streams generated by the two networks are integrated using the Earthworm software. This paper illustrates the methods used by the integrated system for estimating earthquake information and evaluates the system performance. We applied the Earthworm picker for the seismograms recorded by the MEMS sensors (Chen et al. 2015) following new picking constraints to accurately detect P-wave arrivals and use a new regression equation for estimating earthquake magnitudes. An off-line test was implemented using 46 earthquakes with magnitudes ranging from M L 4.5 -6.5 to calibrate the system. The experimental results show that the integrated system has stable source parameter results and issues alarms much faster than the current system run by the CWB seismic network (CWBSN).

show abstract

“…For a rapid reporting system, the empirical method of Wu and Teng (2004) for quick M w determinations using time integration over the strongshaking duration for absolute values of acceleration records could be used within the Palert system. Lin and Wu (2012) tested the system for the 2011 M w 9.0 Great Tohoku Earthquake. The results indicated that this empirical approach is appropriate for extremely large events without a saturation problem and is important in damage assessments and tsunami early warnings.…”

Section: Discussionmentioning

confidence: 99%