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Real‐time capture of seismic waves using high‐rate multi‐GNSS observations: Application to the 2015 M w 7.8 Nepal earthquake
Author(s) -
Geng Tao,
Xie Xin,
Fang Rongxin,
Su Xing,
Zhao Qile,
Liu Gang,
Li Heng,
Shi Chuang,
Liu Jingnan
Publication year - 2016
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2015gl067044
Subject(s) - gnss applications , geology , geodesy , seismology , global positioning system , displacement (psychology) , waveform , seismic hazard , precise point positioning , computer science , telecommunications , psychology , radar , psychotherapist
Abstract The variometric approach is investigated to measure real‐time seismic waves induced by the 2015 M w 7.8 Nepal earthquake with high‐rate multi‐GNSS observations, especially with the contribution of newly available BDS. The velocity estimation using GPS + BDS shows an additional improvement of around 20% with respect to GPS‐only solutions. We also reconstruct displacements by integrating GNSS‐derived velocities after a linear trend removal (IGV). The displacement waveforms with accuracy of better than 5 cm are derived when postprocessed GPS precise point positioning results are used as ground truth, even if those stations have strong ground motions and static offsets of up to 1–2 m. GNSS‐derived velocity and displacement waveforms with the variometric approach are in good agreement with results from strong motion data. We therefore conclude that it is feasible to capture real‐time seismic waves with multi‐GNSS observations using the IGV‐enhanced variometric approach, which has critical implications for earthquake early warning, tsunami forecasting, and rapid hazard assessment.