Published February 24, 2025 | Version v1
Dataset Open

Real-Time Earthquake Monitoring with Deep Learning: A Case Study of the 2025 M6.4 Dapu Earthquake in Southwestern Taiwan

Authors/Creators

  • 1. National Taiwan University

Description

3D NonLinLoc earthquake catalog for the 2025 ML6.4 Dapu earthquake sequence from January 20 to February 3, 2025.

 

Files

20250120_Dapu_earthquake_catalog_TW_3DNonLinLoc.csv

Files (184.9 kB)

Additional details

References

  • Kuo-Chen, H., W.-F. Sun, L.-Y. Kan, S.-Y. Pan, I.-C. Yen, S.-H. Liang, Z.-K. Guan, Y.-H. Liu, W.-S. Chen, and D. Brown, 2025. Real-Time Earthquake Monitoring with Deep Learning: A Case Study of the 2025 ML 6.4 Dapu Earthquake and Its Fault System in Southwestern Taiwan, The Seismic Record. (xx), 1, doi: 10.1785/0320250023.
  • Sun, W. F., S. Y. Pan, Y. H. Liu, H. Kuo-Chen*, C. S. Ku, C. M. Lin, C. C. Fu, 2025. A deep-learning-based real-time microearthquake monitoring system (RT-MEMS) for Taiwan. Sensors 25, 11, 3353, https://doi.org/10.3390/s25113353
  • Kuo-Chen, H.; Sun, W.; Huang, C.; Pan, S. Near real-time seismic data processing helps scientist understand aftershocks. Temblor. 2022. doi: 10.32858/temblor.276
  • Sun, Wei-Fang, Sheng-Yan Pan, Chun-Ming Huang, Zhuo-Kang Guan, I-Chin Yen, Chun-Wei Ho, Tsung-Chih Chi, Chin-Shang Ku, Bor-Shouh Huang, Ching-Chou Fu, Hao Kuo-Chen*, 2024. Deep Learning-based earthquake catalog reveals the seismogenic structures of the 2022 MW 6.9 Chihshang earthquake sequence, Terr. Atmos. & Ocean. Sci., 35, 5. https://doi.org/10.1007/s44195-024-00063-9
  • Lomax, A.; Virieux, J.; Volant, P.; Berge-Thierry, C. Probabilistic Earthquake Location in 3D and Layered Models. Advances in Seismic Event Location. 2000, 101-134. doi:10.1007/978-94-015-9536-0_5
  • Kuo‐Chen, H.; Wu, F. T.; Roecker, S. W. Three‐dimensional P velocity structures of the lithosphere beneath Taiwan from the analysis of TAIGER and related seismic data sets. Journal of Geophysical Research: Solid Earth. 2012, 117(B6). doi: 10.1029/2011jb009108