Progress on the earthquake early warning and shakemaps system using low-cost sensors in Taiwan

Geoscience Letters

卷:9

Review

Benjamin M. Yang¹  Yih-Min Wu²  Himanshu Mittal³ 

[1] Department of Geosciences, National Taiwan University, No. 1, Section 4, Roosevelt Road, 10617, Taipei, Taiwan;

[2] Department of Geosciences, National Taiwan University, No. 1, Section 4, Roosevelt Road, 10617, Taipei, Taiwan;Institute of Earth Sciences, Academia Sinica, 11529, Taipei, Taiwan;Research Center for Future Earth, National Taiwan University, 10617, Taipei, Taiwan;

[3] National Centre for Seismology, Ministry of Earth Sciences, 110003, New Delhi, India;

关键词: Earthquake early warning;    Low-cost sensors;    Shakemaps;    Peak ground acceleration;    Peak ground velocity;    Spectral acceleration;   

DOI  :  10.1186/s40562-022-00251-w

 received in 2022-08-19, accepted in 2022-10-20,  发布年份 2022

来源: Springer

【 摘 要 】

Building 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 Mw\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$${{{M}}}_{{{w}}}$$\end{document} 6.4 Meinong and 2018 Mw\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$${{{M}}}_{{{w}}}$$\end{document} 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 (Sa\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$${S}_{a}$$\end{document}) 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.

【 授权许可】

CC BY   
© The Author(s) 2022

【 图 表 】

Fig. 3

40562_2022_251_Article_IEq24.gif

40507_2023_167_Article_IEq259.gif

40507_2023_167_Article_IEq257.gif

40507_2023_167_Article_IEq207.gif

40507_2023_167_Article_IEq206.gif

Fig. 1

Fig. 5

40507_2023_167_Article_IEq202.gif

40507_2023_167_Article_IEq201.gif

40507_2023_167_Article_IEq200.gif

40507_2023_167_Article_IEq199.gif

40507_2023_167_Article_IEq198.gif

Fig. 1

40507_2023_167_Article_IEq196.gif

40507_2023_167_Article_IEq195.gif

40507_2023_167_Article_IEq193.gif

Fig. 3

40507_2023_167_Article_IEq191.gif

40507_2023_167_Article_IEq190.gif

Fig. 1

40507_2023_167_Article_IEq169.gif

12888_2023_4772_Article_IEq1.gif

Fig. 5

40507_2023_167_Article_IEq155.gif

Fig. 2

Fig. 1

13287_2023_3318_Article_IEq15.gif