Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/96038
Title: Automatic earthquake detection and phase picking in Muong Te, Lai Chau region: An application of machine learning in observational seismology in Vietnam
Authors: Nguyen, Cong Nghia
Nguyen, Van Duong
Ha, Thi Giang
Dinh, Quoc Van
Nguyen, Le Minh
Huang, Bor-Shouh
Pham, The Truyen
Nguyen, Tien Hung
Le, Quang Khoi
Nguyen, Huu Hung
Keywords: Muong Te earthquake
Machine learning
EQ Tranformer
Dien Bien Phu fault
Upstream Da river fault
Earthquake monitoring
Issue Date: 2022
Series/Report no.: Vietnam Journal of Earth Sciences;Vol.44, No.03 .- P.430-446
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.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/96038
ISSN: 0866-7187
Appears in Collections:Vietnam journal of Earth sciences

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