2020
DOI: 10.1029/2019jb018774
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Present‐Day Crustal Deformation of Continental China Derived From GPS and Its Tectonic Implications

Abstract: We process rigorously GPS data observed during the past 25 years from continental China to derive site secular velocities. Analysis of the velocity solution leads to the following results. (a) The deformation field inside the Tibetan plateau and Tien Shan is predominantly continuous, and large deformation gradients only exist perpendicular to the Indo‐Eurasian relative plate motion and are associated with a few large strike‐slip faults. (b) Lateral extrusions occur on both the east and west sides of the platea… Show more

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Cited by 601 publications
(742 citation statements)
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References 86 publications
(147 reference statements)
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“…GPS data for the study area are primarily from Phase I of the Crustal Movement Observation Network of China (CMONOC), observed in 1999, 2001, 2004, and 2007, and Phase II of the CMONOC that has been re‐surveyed once every 2 years from 2009 to 2019. In addition to the CMONOC I and II data used in previous studies (M. Wang & Shen, 2020; W. Wang et al., 2017; Zhao et al., 2017), we collected GPS data from 107 GPS stations in regional networks that have been re‐surveyed approximately every year from 2006 to 2015 by the Second Monitoring and Application Center (SMAC), China Earthquake Administration (CEA), and 185 GPS stations in the National GPS Geodetic Control Network of China (NGGCNC), which were first surveyed in 2005, 2006, or 2014, and then re‐surveyed twice by SMAC in 2012, 2015, or 2017, and 2019. As shown in Figure 1, the GPS stations from the regional networks (magenta squares) are distributed in the grabens around the Ordos block, while the stations in the NGGCNC (blue stars) are distributed in the internal Ordos block and the Qinling orogen.…”
Section: Gps Data Assembly and Analysesmentioning
confidence: 99%
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“…GPS data for the study area are primarily from Phase I of the Crustal Movement Observation Network of China (CMONOC), observed in 1999, 2001, 2004, and 2007, and Phase II of the CMONOC that has been re‐surveyed once every 2 years from 2009 to 2019. In addition to the CMONOC I and II data used in previous studies (M. Wang & Shen, 2020; W. Wang et al., 2017; Zhao et al., 2017), we collected GPS data from 107 GPS stations in regional networks that have been re‐surveyed approximately every year from 2006 to 2015 by the Second Monitoring and Application Center (SMAC), China Earthquake Administration (CEA), and 185 GPS stations in the National GPS Geodetic Control Network of China (NGGCNC), which were first surveyed in 2005, 2006, or 2014, and then re‐surveyed twice by SMAC in 2012, 2015, or 2017, and 2019. As shown in Figure 1, the GPS stations from the regional networks (magenta squares) are distributed in the grabens around the Ordos block, while the stations in the NGGCNC (blue stars) are distributed in the internal Ordos block and the Qinling orogen.…”
Section: Gps Data Assembly and Analysesmentioning
confidence: 99%
“…We used Kriging method to interpolate the coseismic displacements following the 2008 Ms 8.0 Wenchuan, China earthquake (Shen et al., 2009) and the 2011 Ms 9.0 Tohoku‐Oki, Japan earthquake (Hao et al., 2020) to correct coseismic offsets of contaminated GPS time series. The GPS observations affected by significant postseismic deformation following the 2008 Wenchuan earthquake (M. Wang & Shen, 2020) were utilized before the main shock. For campaign‐mode GPS stations from CMONOC observed every 2 or 3 years, we only used the weighted least‐square method to fit time series without considering seasonal variations and color noise model, and estimate the linear velocity.…”
Section: Gps Data Assembly and Analysesmentioning
confidence: 99%
“…We tested Wt values of 0, 6, 12, and 18 following Shen et al (2015). Values of 0 and 6 result in extremely high strain rates that deviate significantly from previous studies ( Figure S1; Kreemer et al, 2014;Pan & Shen, 2017;Wang & Shen, 2020) and, in the case of Wt = 18, high-strain regions are clearly converted to one with low strain, indicating oversmoothing ( Figure S1). In order to preserve detailed deformation characteristics and maintain consistency with published strain rates (e.g., Kreemer et al, 2014;Pan & Shen, 2017), we used a Wt value of 12 to calculate dilatational strain rates, maximum shear strain rates, and principal strain rates (Figures 3c and 3d).…”
Section: Strain Rate Calculationmentioning
confidence: 78%
“…They differ from the faults in Figure 1 by having a low geological slip rate V o = 2~3 mm/year and long recurrence interval of large earthquakes of the order of T ≈ 4,000 years (Jiang et al, 2017; Yu et al, 2018). The Global Navigation Satellite System (GNSS) measurements shown in Figure 2 consist of data collected through multiple campaign surveys during 1995–2008, 1999–2015, and 2009–2015 and many continuous measurements from 1999 or 2009 to 2016 (Wang & Shen, 2020). The 6 to 17 years observation time spans allow reasonable determination of velocities despite relatively large measurement errors.…”
Section: Introductionmentioning
confidence: 99%