کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4739716 | 1641116 | 2016 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: GNSS seismometer: Seismic phase recognition of real-time high-rate GNSS deformation waves GNSS seismometer: Seismic phase recognition of real-time high-rate GNSS deformation waves](/preview/png/4739716.png)
• We evaluated the performance and limitations of a real-time GNSS seismometer.
• We explored methods for recognition of seismic phases in real-time GNSS seismometer.
• We used a shake table test and simulated historical earthquakes.
• Most seismic phases could be recognized in time series of real-time GNSS seismometer.
High-rate global navigation satellite systems (GNSS) can potentially be used as seismometers to capture short-period instantaneous dynamic deformation waves from earthquakes. However, the performance and seismic phase recognition of the GNSS seismometer in the real-time mode, which plays an important role in GNSS seismology, are still uncertain. By comparing the results of accuracy and precision of the real-time solution using a shake table test, we found real-time solutions to be consistent with post-processing solutions and independent of sampling rate. In addition, we analyzed the time series of real-time solutions for shake table tests and recent large earthquakes. The results demonstrated that high-rate GNSS have the ability to retrieve most types of seismic waves, including P-, S-, Love, and Rayleigh waves. The main factor limiting its performance in recording seismic phases is the widely used 1-Hz sampling rate. The noise floor also makes recognition of some weak seismic phases difficult. We concluded that the propagation velocities and path of seismic waves, macro characteristics of the high-rate GNSS array, spatial traces of seismic phases, and incorporation of seismographs are all useful in helping to retrieve seismic phases from the high-rate GNSS time series.
Journal: Journal of Applied Geophysics - Volume 135, December 2016, Pages 328–337