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A Deep-Learning-Based Real-Time Microearthquake Monitoring System (RT-MEMS) for Taiwan.

Wei-Fang Sun¹, Sheng-Yan Pan¹, Yao-Hung Liu¹

¹Department of Geosciences, National Taiwan University, Taipei City 10617, Taiwan.

Sensors (Basel, Switzerland)

|September 19, 2025

Summary

This summary is machine-generated.

A new deep learning system, the real-time microearthquake monitoring system (RT-MEMS), provides higher-resolution earthquake catalogs for Taiwan. This advanced system improves seismic hazard assessment and understanding of tectonic structures.

Keywords:

SeedLink automated workflow deep learning earthquake catalog real-time microearthquake monitoring system

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Area of Science:

Earthquake seismology
Geophysics
Artificial Intelligence in Geosciences

Background:

Accurate earthquake catalogs are vital for seismic hazard assessment and understanding seismic evolution.
Existing methods may lack the resolution and timeliness required for rapid seismic event analysis.

Purpose of the Study:

Introduce a deep-learning-based real-time microearthquake monitoring system (RT-MEMS) for Taiwan.
Enhance the resolution and efficiency of earthquake catalog generation.
Provide timely seismic information for hazard assessment and research.

Main Methods:

Integration of continuous seismic data from high-quality networks via SeedLink.
Application of the SeisBlue deep learning model for P- and S-wave arrival picking.
Utilizing a modified PhasePAPY algorithm for earthquake association and location.
Automated processing workflows for efficient catalog generation.

Main Results:

Establishment of three stable RT-MEMS in Taiwan for diverse monitoring needs.
Demonstrated capability to generate higher-resolution and more efficient earthquake catalogs compared to standard methods.
Successful capture of both background seismicity and mainshock-aftershock sequences.
Generation of timely updates on seismic activity post-major earthquakes.

Conclusions:

The RT-MEMS offers a significant advancement in real-time earthquake monitoring in Taiwan.
Refined earthquake catalogs improve the understanding of seismotectonic structures.
RT-MEMS-generated data serve as valuable resources for future seismological research and hazard analysis.