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Model analysis of crust motion in the Chinese mainland by CMONOC 被引量:1

Model analysis of crust motion in the Chinese mainland by CMONOC
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摘要 We report a new horizontal Global Positioning System velocity field in the Chinese mainland from the data analysis of about 2000 GPS sites observed in 2009, 2011 and 2013 through three campaigns of the CMONOC project. Assuming the crustal block to characterize their kinematic behaviors, we estimate parameters of 22 crustal blocks to fit the GPS-derived velocity by using GIPSY software. We restrict us to compare two competing models in which the rigid blocks and the deforming blocks are involved. Our modeling suggests that the most crustal blocks characterized by coherent movement and internal strain may be better in describing the kinematics of crustal deformation in the Chinese mainland. We report a new horizontal Global Positioning System velocity field in the Chinese mainland from the data analysis of about 2000 GPS sites observed in 2009, 2011 and 2013 through three campaigns of the CMONOC project. Assuming the crustal block to characterize their kinematic behaviors, we estimate parameters of 22 crustal blocks to fit the GPS-derived velocity by using GIPSY software. We restrict us to compare two competing models in which the rigid blocks and the deforming blocks are involved. Our modeling suggests that the most crustal blocks characterized by coherent movement and internal strain may be better in describing the kinematics of crustal deformation in the Chinese mainland.
出处 《Geodesy and Geodynamics》 2014年第4期1-8,共8页 大地测量与地球动力学(英文版)
基金 supported by the CMONOC project,National Natural Science Foundation of China(41204001,41274036,and 41274037) State 863 Projects(2013AA122501) the Surveying and Mapping Basic Research Fund of Earth Space Environment and Geodetic Measurement Laboratory in Wuhan University(130104)
关键词 Chinese mainland crustal deformation GPS (Global Positioning System) block model model identification Chinese mainland crustal deformation GPS (Global Positioning System) block model model identification
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