Literature DB >> 33572606

Real-Time Production of PGA, PGV, Intensity, and Sa Shakemaps Using Dense MEMS-Based Sensors in Taiwan.

Benjamin M Yang1, Himanshu Mittal1,2, Yih-Min Wu1,3,4.   

Abstract

Using low-cost sensors to build a seismic network for earthquake early warning (EEW) and to generate shakemaps is a cost-effective way in the field of seismology. National Taiwan University (NTU) network employing 748 P-Alert sensors based on micro-electro-mechanical systems (MEMS) technology is operational for almost the last 10 years. This instrumentation is capable of recording the strong ground motions of up to ± 2g and is dense enough to record the near-field ground motion. It has proven effective in generating EEW warnings and delivering real-time shakemaps to the concerned disaster relief agencies to mitigate the earthquake-affected regions. Before 2020, this instrumentation was used to plot peak ground acceleration (PGA) shakemaps only; however, recently it has been upgraded to generate the peak ground velocity (PGV), Central Weather Bureau (CWB) Intensity scale, and spectral acceleration (Sa) shakemaps at different periods as value-added products. After upgradation, the performance of the network was observed using the latest recorded earthquakes in the country. The experimental results in the present work demonstrate that the new parameters shakemaps added in the current work provide promising outputs, and are comparable with the shakemaps given by the official agency CWB. These shakemaps are helpful to delineate the earthquake-hit regions which in turn is required to assist the needy well in time to mitigate the seismic risk.

Entities:  

Keywords:  MEMS accelerometers; P-Alert; earthquake early warning; real-time shakemaps; seismic hazard mitigation

Year:  2021        PMID: 33572606      PMCID: PMC7867025          DOI: 10.3390/s21030943

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

Review 1.  Circuit Techniques for High Efficiency Piezoelectric Energy Harvesting.

Authors:  Yi Yang; Zhiyuan Chen; Qin Kuai; Junrui Liang; Jingjing Liu; Xiaoyang Zeng
Journal:  Micromachines (Basel)       Date:  2022-06-30       Impact factor: 3.523

  1 in total

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