Abstract
AbstractBuilding an earthquake early warning (EEW) network requires the installation of seismic instruments around the seismogenic zone. Using low-cost sensors to build a seismic network for EEW and to generate shakemaps is a cost-effective way in the field of seismology. The National Taiwan University (NTU) network employing 762 P-Alert low-cost sensors based on micro-electro-mechanical systems (MEMS) technology is operational for almost the last 10 years in Taiwan. This instrumentation is capable of recording the strong ground motions of up to ± 2 g and is dense enough to record the near-field ground motion. The NTU system has shown its importance during various earthquakes that caused damage in Taiwan. Although the system is capable of acting as a regional as well as an onsite warning system, it is particularly useful for onsite warning. Using real-time seismic signals, each P-Alert device provided a 2–8 s warning time for the near-source earthquake regions situated in the blind zone of the Central Weather Bureau (CWB) regional EEW system, during the 2016 $${{{M}}}_{{{w}}}$$
M
w
6.4 Meinong and 2018 $${{{M}}}_{{{w}}}$$
M
w
6.4 Hualien earthquakes. The shakemaps plotted by the P-Alert dense network help to assess the damage pattern and act as key features in the risk mitigation process. These shakemaps are delivered to the intended users, including the disaster mitigation authorities, for possible relief purposes. Currently, the P-Alert network can provide peak ground acceleration (PGA), peak ground velocity (PGV), spectral acceleration ($${S}_{a}$$
S
a
) at different periods, and CWB intensity shakemaps. Using shakemaps, it is found that PGV is a better indicator of damage detection than PGA. Encouraged by the performance of the P-Alert network, more instruments are installed in Asia-Pacific countries.
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Reference47 articles.
1. Alcik H, Ozel O, Apaydin N, Erdik M (2009) A Study on Warning Algorithms for Istanbul Earthquake Early Warning System. Geophys Res Lett 36:L00B05
2. Allen RM, Melgar D (2019) Earthquake early warning: advances, scientific challenges, and societal needs. Annu Rev Earth Planet Sci 247:361–388
3. Allen RM, Stogaitis M (2022) Global growth of earthquake early warning. Science 375(6582):717–718
4. Allen RM, Kong Q, Martin-Short R (2020) The myshake platform: a global vision for earthquake early warning. Pure Appl Geophys 177(4):1699–1712
5. Bossu R, Finazzi F, Steed R, Fallou L, Bondár I (2022) “Shaking in 5 Seconds!”—Performance and User Appreciation Assessment of the Earthquake Network Smartphone-Based Public Earthquake Early Warning System. Seismol Soc Am 93(1):137–148
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献