Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/96038
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dc.contributor.authorNguyen, Cong Nghia-
dc.contributor.authorNguyen, Van Duong-
dc.contributor.authorHa, Thi Giang-
dc.contributor.authorDinh, Quoc Van-
dc.contributor.authorNguyen, Le Minh-
dc.contributor.authorHuang, Bor-Shouh-
dc.contributor.authorPham, The Truyen-
dc.contributor.authorNguyen, Tien Hung-
dc.contributor.authorLe, Quang Khoi-
dc.contributor.authorNguyen, Huu Hung-
dc.date.accessioned2024-02-02T03:54:32Z-
dc.date.available2024-02-02T03:54:32Z-
dc.date.issued2022-
dc.identifier.issn0866-7187-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/96038-
dc.description.abstractWe 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.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesVietnam Journal of Earth Sciences;Vol.44, No.03 .- P.430-446-
dc.subjectMuong Te earthquakevi_VN
dc.subjectMachine learningvi_VN
dc.subjectEQ Tranformervi_VN
dc.subjectDien Bien Phu faultvi_VN
dc.subjectUpstream Da river faultvi_VN
dc.subjectEarthquake monitoringvi_VN
dc.titleAutomatic earthquake detection and phase picking in Muong Te, Lai Chau region: An application of machine learning in observational seismology in Vietnamvi_VN
dc.typeArticlevi_VN
Appears in Collections:Vietnam journal of Earth sciences

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