Case Study of MEMS-Based Earthquake Early Warning With P-ALERT System: A Literature Review

Authors

  • Ahmad Aqila Nubala STMKG Author
  • Muhammad Yazid Ilmany Author
  • Wyra Steven Hutagalung Author

DOI:

https://doi.org/10.63581/JoCPES.v6i1.01

Keywords:

Earthquake, Early Warning System, MEMS (Micro-Electromechanical Systems), MEMS accelerometers

Abstract

Earthquakes pose significant threats to infrastructure and human life,
emphasizing the urgent need for effective Earthquake Early Warning Systems (EEWS). Traditional EEWS are often expensive and inaccessible for many earthquake-prone regions. This paper explores the potential of low-cost EEWS utilizing Micro-Electro-Mechanical Systems (MEMS), focusing on
the P-ALERT system developed in Taiwan. Through a literature review, this
study analyzes the architecture, performance, limitations, and prospects of
MEMS-based EEWS. The findings highlight that P-ALERT, with its affordability, dense sensor network, and rapid response capability, offers a
promising solution for localized and regional earthquake warnings. Despite
limitations such as lower data quality compared to high-end seismometers
and reliance on stable infrastructure, P-ALERT has demonstrated effectiveness during several major earthquakes. This review also provides
recommendations for enhancing the system’s performance through
decentralized processing, improved sensor algorithms, and strengthened
network security. Ultimately, this research underscores the viability of
low-cost EEWS like P-ALERT as scalable and inclusive tools for seismic
risk mitigation, particularly in developing countries.

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Published

30-04-2026

Data Availability Statement

The data analyzed during this study are included in this published article as a literature review. They are also available from the cited references.

How to Cite

Case Study of MEMS-Based Earthquake Early Warning With P-ALERT System: A Literature Review. (2026). Journal of Computation Physics and Earth Science (JoCPES), 6(1). https://doi.org/10.63581/JoCPES.v6i1.01

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