GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China
The Global Positioning System (GPS) derived bedrock displacements respond to multiple geophysical effects, ranging from surface elastic loads to tectonic sources or viscoelastic uplifts stemming from Earth’s viscous mantle. In this study, the GPS-inferred vertical crustal velocities are rigorously e...
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sg-ntu-dr.10356-1518122021-10-23T20:11:09Z GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China Pan, Yuanjin Hammond, William C. Ding, Hao Mallick, Rishav Jiang, Weiping Xu, Xinyu Shum, C. K. Shen, Wenbin Asian School of the Environment Earth Observatory of Singapore Science::Geology GPS-derived Vertical Velocity Global Positioning System Imaging The Global Positioning System (GPS) derived bedrock displacements respond to multiple geophysical effects, ranging from surface elastic loads to tectonic sources or viscoelastic uplifts stemming from Earth’s viscous mantle. In this study, the GPS-inferred vertical crustal velocities are rigorously estimated in mainland China. We integrate the GPS vertical velocity field with Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) data, adopting an empirical Spatial Structure Function (SSF), to image tectonic deformation in mainland China with respect to the International Terrestrial Reference Frame (ITRF) 2014. We present four profiles across China, which indicate that our new robust results are superior to kriging. Furthermore, we use the GRACE/GFO products to account for elastic deformation due to surface mass changes to isolate tectonic deformation signals at GPS sites within mainland China from 2002 to 2019. By integrating GPS and GRACE/GFO measurements, our results reveal the long-term spatial patterns of vertical tectonic motion in different blocks in mainland China. We conclude that significant steep velocity gradients occur at tectonic block boundaries that are attributable to locking and elastic strain accumulation on active block boundary faults. Published version We are most grateful to the National Key Scientific Projects “Tectonic and Environmental Observation Network of Mainland China” (CMONOC I and II). The project was funded by the NSFCs (Grant 41904012, 41721003, 41774024, and 41974022), China Postdoctoral Science Foundation (2020T130482, 2018M630879). 2021-10-19T07:12:36Z 2021-10-19T07:12:36Z 2021 Journal Article Pan, Y., Hammond, W. C., Ding, H., Mallick, R., Jiang, W., Xu, X., Shum, C. K. & Shen, W. (2021). GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China. Journal of Geophysical Research: Solid Earth, 126(4), e2020JB020951-. https://dx.doi.org/10.1029/2020JB020951 2169-9313 0000-0001-6683-2342 0000-0001-7367-9489 0000-0002-3058-8197 0000-0002-8983-0849 0000-0003-1614-1900 0000-0001-9378-4067 0000-0002-9267-5982 https://hdl.handle.net/10356/151812 10.1029/2020JB020951 2-s2.0-85104972236 4 126 e2020JB020951 en Journal of Geophysical Research: Solid Earth © 2021 American Geophysical Union (AGU). All rights reserved. This paper was published in Journal of Geophysical Research: Solid Earth and is made available with permission of American Geophysical Union (AGU). application/pdf |
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Science::Geology GPS-derived Vertical Velocity Global Positioning System Imaging Pan, Yuanjin Hammond, William C. Ding, Hao Mallick, Rishav Jiang, Weiping Xu, Xinyu Shum, C. K. Shen, Wenbin GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China |
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The Global Positioning System (GPS) derived bedrock displacements respond to multiple geophysical effects, ranging from surface elastic loads to tectonic sources or viscoelastic uplifts stemming from Earth’s viscous mantle. In this study, the GPS-inferred vertical crustal velocities are rigorously estimated in mainland China. We integrate the GPS vertical velocity field with Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) data, adopting an empirical Spatial Structure Function (SSF), to image tectonic deformation in mainland China with respect to the International Terrestrial Reference Frame (ITRF) 2014. We present four profiles across China, which indicate that our new robust results are superior to kriging. Furthermore, we use the GRACE/GFO products to account for elastic deformation due to surface mass changes to isolate tectonic deformation signals at GPS sites within mainland China from 2002 to 2019. By integrating GPS and GRACE/GFO measurements, our results reveal the long-term spatial patterns of vertical tectonic motion in different blocks in mainland China. We conclude that significant steep velocity gradients occur at tectonic block boundaries that are attributable to locking and elastic strain accumulation on active block boundary faults. |
author2 |
Asian School of the Environment |
author_facet |
Asian School of the Environment Pan, Yuanjin Hammond, William C. Ding, Hao Mallick, Rishav Jiang, Weiping Xu, Xinyu Shum, C. K. Shen, Wenbin |
format |
Article |
author |
Pan, Yuanjin Hammond, William C. Ding, Hao Mallick, Rishav Jiang, Weiping Xu, Xinyu Shum, C. K. Shen, Wenbin |
author_sort |
Pan, Yuanjin |
title |
GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China |
title_short |
GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China |
title_full |
GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China |
title_fullStr |
GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China |
title_full_unstemmed |
GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China |
title_sort |
gps imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in china |
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2021 |
url |
https://hdl.handle.net/10356/151812 |
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1715201519224094720 |