A Test of Earthquake Early Warning System Using Low Cost Accelerometer in Hualien, Taiwan

Wu, Yih‐Min; Lin, Tzu-Chiao

doi:10.1007/978-3-642-12233-0_13

Cited by 27 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to Japan, the financial considerations (Horiuchi et al 2009) involved in traditional force-balanced accelerometers are not appropriate for Taiwan. Instead, a seismic network with MEMS accelerators is a better solution for EEW in Taiwan (Wu et al 2013a;Wu and Lin 2014).…”

Section: Low Cost Seismic Networkmentioning

confidence: 99%

See 1 more Smart Citation

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

Hsieh¹,

Wu²,

Chin³

et al. 2014

Terr. Atmos. Ocean. Sci.

View full text Add to dashboard Cite

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.

show abstract

Section: Low Cost Seismic Networkmentioning

confidence: 99%

“…In 2010 the research team at NTU initiated a pilot experiment by installing a seismic network with 15 MEMS accelerometers, named "Palert", in Hualien County (Wu and Lin 2014). The experimental deployment shows the potential of using MEMS devices for detecting and recording earthquakes in Taiwan.…”

Section: Introductionmentioning

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.

View full text Add to dashboard Cite

show abstract

“…Since the introduction of low-cost accelerometers in consumer devices such as cars and computers, seismologists have been experimenting with how these sensors might contribute to the science of seismology and hazard reduction [Allen, 2007;Cochran et al, 2009b;Fleming et al, 2009;Chung et al, 2011;Clayton et al, 2011Clayton et al, , 2015Wu et al, 2016Wu et al, , 2013Evans et al, 2014;Wu and Lin, 2014;Wu, 2015]. While these devices have significantly lower price tags than traditional seismic stations, the data are of lower quality and the operation of networks of low-cost devices is complex and not necessarily low cost.…”

Section: Introductionmentioning

confidence: 99%

MyShake: Initial observations from a global smartphone seismic network

Kong

Allen

Schreier³

2016

Geophysical Research Letters

View full text Add to dashboard Cite

MyShake is a global smartphone seismic network that harnesses the power of crowdsourcing. In the first 6 months since the release of the MyShake app, there were almost 200,000 downloads. On a typical day about 8000 phones provide acceleration waveform data to the MyShake archive. The on‐phone app can detect and trigger on P waves and is capable of recording magnitude 2.5 and larger events. More than 200 seismic events have been recorded so far, including events in Chile, Argentina, Mexico, Morocco, Nepal, New Zealand, Taiwan, Japan, and across North America. The largest number of waveforms from a single earthquake to date comes from the M5.2 Borrego Springs earthquake in Southern California, for which MyShake collected 103 useful three‐component waveforms. The network continues to grow with new downloads from the Google Play store everyday and expands rapidly when public interest in earthquakes peaks such as during an earthquake sequence.

show abstract

“…Researchers have also considered using alternative sensor technologies to avoid the exorbitant costs of employing conventional sensors. The advancement of MEMS technology allowed seismic monitoring networks to expand from hundreds of stations to several thousands of stations (Fleming et al, 2009; Wu and Lin, 2014).…”

Section: Introductionmentioning

confidence: 99%

On the feasibility of IoT-based smart meters for earthquake early warning

Taale¹,

Ventura²,

Martí³

2021

Earthquake Spectra

View full text Add to dashboard Cite

The microelectromechanical systems (MEMS) accelerometer built into a smart meter (SM) has a nominal digital resolution of 16 bits. However, this resolution collapses to 7 bits of information per sample when used in an urban environment. This collapse in resolution limits the sensitivity required to effectively operate the earthquake early warning platform (EEWP). In this study, we evaluate the performance of the MEMS sensor in present SMs with respect to a reference sensor, with a special focus on its poor noise power spectral density (PSD, [Formula: see text]). We also explore the general capacity of the SM in an IoT-based EEWP and provide explicit information regarding the 16-bit digital MEMS accelerometer. Then, we investigate the functionality of the sensor in the context of event detection in the presence of background vibration. When the value of acceleration root mean square (RMS) exceeds 20 mg, the meter’s error decreases to <20%, whereas the peak ground acceleration error decreases to <20% for the peak value greater than ~70 mg. The MEMS sensor is unreliable for motions with a peak acceleration of less than 148 mg or those with an RMS value less than 46 mg. However, we note that SMs exhibit reasonable amplitude and phase coherence for frequencies above 1 Hz with respect to the reference accelerometer. To enhance the sensitivity, averaging 1000 coherent accelerometer observations enhances the digital resolution to 14 bits, which allows the efficient usage of the network bandwidth. Since the accelerometer is used as an anti-tampering mechanism, the SM is similar to a tiltmeter. Therefore, it is necessary to reconfigure SMs for early warning systems. Despite the challenges, the use of SM for an IoT-based EEWP is technically feasible.

show abstract

A Test of Earthquake Early Warning System Using Low Cost Accelerometer in Hualien, Taiwan

Cited by 27 publications

References 24 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

MyShake: Initial observations from a global smartphone seismic network

On the feasibility of IoT-based smart meters for earthquake early warning

Contact Info

Product

Resources

About