Automatic earthquake detection and phase picking in Muong Te, Lai Chau region: an application of machine learning in observational seismology in Vietnam

Nguyen Cong Nghia, Nguyen Van Duong, Ha Thi Giang, Dinh Quoc Van, Nguyen Le Minh, Bor-Shouh Huang, Pham The Truyen, Nguyen Tien Hung, Le Quang Khoi, Nguyen Huu Hung
Author affiliations

Authors

  • Nguyen Cong Nghia 1-Taiwan International Graduate Program Earth Sciences System (TIGP-ESS), Academia Sinica, Taiwan; 2- Department of Earth Sciences, National Central University, Taiwan
  • Nguyen Van Duong 1- Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam; 2- Graduate University of Science and Technology (GUST), Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Ha Thi Giang Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Dinh Quoc Van Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Nguyen Le Minh 1- Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam; 2- Graduate University of Science and Technology (GUST), Vietnam Academy of Science and Technology, Hanoi, Vietnam; 3- Department of International Cooperation, Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Bor-Shouh Huang Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan
  • Pham The Truyen Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Nguyen Tien Hung 1- Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam; 2- Graduate University of Science and Technology (GUST), Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Le Quang Khoi Institute of Geophysics, Vietnam Academy of Science and Technology, Hanoi, Vietnam
  • Nguyen Huu Hung Department of Natural Science Hung Vuong University, Viet Tri, Phu Tho, Vietnam

DOI:

https://doi.org/10.15625/2615-9783/17253

Keywords:

Muong Te earthquake, machine learning, EQ Tranformer, Dien Bien Phu fault, upstream Da river fault, earthquake monitoring

Abstract

We applied the automatic detection and picking of P- and S-wave to one-year continuous raw seismic data from 17 seismic stations in the Muong Te area, northwestern Vietnam. The deep learning picker, Earthquake Transformer, has performed automatic picking of P- and S-waves, and phase association, then we located the earthquakes using Hypoinverse and NonLinLoc programs. The newly derived catalog consisted of 893 events, which is significantly higher than the number of events in the manual catalog. From this new catalog, we can observe more earthquakes related to the Muong Te ML 4.9 earthquake on June 16, 2020, and the earthquake activity in other faults such as the Dien Bien Phu and Muong Nhe faults. The extended catalog can further study the seismogenesis and the seismic velocity structure of the crust beneath northwestern Vietnam.

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Published

01-07-2022

How to Cite

Nguyen Cong, N., Nguyen Van, D., Ha Thi, G., Dinh Quoc, V., Nguyen Le, M., Huang, B.-S. ., Pham The, T., Nguyen Tien, H., Le Quang, K., & Nguyen Huu, H. (2022). Automatic earthquake detection and phase picking in Muong Te, Lai Chau region: an application of machine learning in observational seismology in Vietnam. Vietnam Journal of Earth Sciences, 44(3), 430–446. https://doi.org/10.15625/2615-9783/17253