SU Lina, ZHANG Yong. Automatic Detection and Estimation of Coseismic and Postseismic Deformation in GPS Time Series[J]. Geomatics and Information Science of Wuhan University, 2018, 43(10): 1504-1510. DOI: 10.13203/j.whugis20170016
Citation: SU Lina, ZHANG Yong. Automatic Detection and Estimation of Coseismic and Postseismic Deformation in GPS Time Series[J]. Geomatics and Information Science of Wuhan University, 2018, 43(10): 1504-1510. DOI: 10.13203/j.whugis20170016

Automatic Detection and Estimation of Coseismic and Postseismic Deformation in GPS Time Series

  • Once an earthquake occurs, nearby GPS stations are able to capture the coseismic and post-seismic deformation which is critic for the geoscience research and maintenance of the dynamitic reference frame, thus to identify and estimate them is also an important part of the GPS time series analysis. The comprehensive inspection method to automatic detect and estimate coseismic and postseismic deformation is proposed and employed here, which models the GPS time series and comprehensively considers coseismic offsets and their coherence from different sources, and RMS improvement to decide if the station is affected by an earthquake. If it is, trail-and-error is used to search the best decay time and then all parameters including coseismic and postseismic deformations are estimated through linear least squares method. Earthquake examples account for the effectiveness of the proposed method.
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