Contemporary velocity field of crustal movement of Chinese mainland from Global Posi-tioning System measurements

2005 ◽  
Vol 50 (9) ◽  
pp. 939 ◽  
Author(s):  
Zhijun NIU
Keyword(s):  
Velocity Field ◽  
Chinese Mainland ◽  
Crustal Movement

Contemporary velocity field of crustal movement of Chinese mainland from Global Positioning System measurements

2005 ◽  
Vol 50 (9) ◽  
pp. 939-941 ◽  
Author(s):  
Niu Zhijun ◽  
Wang Min ◽  
Sun Hanrong ◽  
Sun Jianzhong ◽  
You Xinzhao ◽  
...  
Keyword(s):  
Velocity Field ◽  
Global Positioning System ◽  
Chinese Mainland ◽  
Crustal Movement ◽  
Positioning System ◽  
Global Positioning

Noise and velocity field analysis of crustal movement in Anhui province

2021 ◽  
Vol 80 (6) ◽  
Author(s):  
Rong He ◽  
Tingye Tao ◽  
Fei Gao ◽  
Yongchao Zhu ◽  
Xiaochuan Qu ◽  
...  
Keyword(s):  
Velocity Field ◽  
Anhui Province ◽  
Crustal Movement ◽  
Field Analysis

Background of crustal movement of Chinese mainland

2000 ◽  
Vol 45 (6) ◽  
pp. 557-559 ◽  
Author(s):  
Wenyao Zhu ◽  
Zongyi Cheng ◽  
Xiaoya Wang ◽  
Yongqing Xiong
Keyword(s):  
Chinese Mainland ◽  
Crustal Movement

Crustal movement in Chinese mainland observed from 1998 to 1999

2000 ◽  
Vol 13 (6) ◽  
pp. 599-606 ◽  
Author(s):  
Guo-hua Gu ◽  
Hong-ye Niu ◽  
Gui-ming Zheng ◽  
Yong-jiang Xu ◽  
Guo-jie Meng ◽  
...  
Keyword(s):  
Chinese Mainland ◽  
Crustal Movement

scholarly journals Multi-quadric collocation model of horizontal crustal movement

2015 ◽  
Vol 7 (4) ◽  
pp. 3359-3382
Author(s):  
G. Chen ◽  
A. M. Zeng ◽  
F. Ming ◽  
Y. F. Jing
Keyword(s):  
Velocity Field ◽  
Kernel Function ◽  
Covariance Function ◽  
Estimation Method ◽  
Crustal Movement ◽  
Movement Velocity ◽  
Euler Vector ◽  
Combined Estimation ◽  
Horizontal Crustal Movement ◽  
Fitting Model

Abstract. To establish the horizontal crustal movement velocity field of the Chinese mainland, a Hardy multi-quadric fitting model and collocation are usually used, but the kernel function, nodes, and smoothing factor are difficult to determine in the Hardy function interpolation, and in the collocation model the covariance function of the stochastic signal must be carefully constructed. In this paper, a new combined estimation method for establishing the velocity field, based on collocation and multi-quadric equation interpolation, is presented. The crustal movement estimation simultaneously takes into consideration an Euler vector as the crustal movement trend and the local distortions as the stochastic signals, and a kernel function of the multi-quadric fitting model substitutes for the covariance function of collocation. The velocities of a set of 1070 reference stations were obtained from the Crustal Movement Observation Network of China (CMONOC), and the corresponding velocity field established using the new combined estimation method. A total of 85 reference stations were used as check points, and the precision in the north and east directions was 1.25 and 0.80 mm yr−1, respectively. The result obtained by the new method corresponds with the collocation method and multi-quadric interpolation without requiring the covariance equation for the signals.

Data Processing of IGS Station in China and Analysis of Crustal Movement of Eurasian Plate

2013 ◽  
Vol 353-356 ◽  
pp. 3464-3467
Author(s):  
Yong Sheng Chen ◽  
Qun He ◽  
Jun Yu Chen ◽  
Hong Bin Ma
Keyword(s):  
Data Processing ◽  
Input Data ◽  
Chinese Mainland ◽  
Crustal Movement ◽  
Gps Data ◽  
Eurasian Plate ◽  
Plate Movement ◽  
Euler Vector ◽  
Baseline Solution ◽  
Year 2000

By using all 103 days GPS data of IGS in china, from year 2000 to 2005, the baseline is solved with GSMIT software. With One day's baseline solution as the input data, based on the mathematical floating model of station, the floating velocity of station is solved and the crustal movement is gotten; then, according to Euler theorem of plate movement, the Euler vectors of Chinese mainland is obtained; furthermore, the floating velocity of the station area in Eurasian plate is acquired. The results show that, in ITRF2000 framework, the station floating velocity is similar with what announced by IGS and so does the Euler vector, which shows that the continental shelf of China has an accelerated tendency to eastward movement.

General characteristics of the recent horizontal crustal movement in Chinese mainland

2001 ◽  
Vol 14 (4) ◽  
pp. 384-393 ◽  
Author(s):  
Guo-hua Gu ◽  
Xu-hui Shen ◽  
Min Wang ◽  
Gui-ming Zheng ◽  
Ying Fang ◽  
...  
Keyword(s):  
Chinese Mainland ◽  
Crustal Movement ◽  
Horizontal Crustal Movement

scholarly journals Multi-quadric collocation model of horizontal crustal movement

Solid Earth ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 817-825
Author(s):  
Gang Chen ◽  
Anmin Zeng ◽  
Feng Ming ◽  
Yifan Jing
Keyword(s):  
Velocity Field ◽  
Kernel Function ◽  
Covariance Function ◽  
Estimation Method ◽  
Crustal Movement ◽  
Movement Velocity ◽  
Euler Vector ◽  
Combined Estimation ◽  
Horizontal Crustal Movement ◽  
Fitting Model

Abstract. To establish the horizontal crustal movement velocity field of the Chinese mainland, a Hardy multi-quadric fitting model and collocation are usually used. However, the kernel function, nodes, and smoothing factor are difficult to determine in the Hardy function interpolation. Furthermore, the covariance function of the stochastic signal must be carefully constructed in the collocation model, which is not trivial. In this paper, a new combined estimation method for establishing the velocity field, based on collocation and multi-quadric equation interpolation, is presented. The crustal movement estimation simultaneously takes into consideration an Euler vector as the crustal movement trend and the local distortions as the stochastic signals, and a kernel function of the multi-quadric fitting model substitutes for the covariance function of collocation. The velocities of a set of 1070 reference stations were obtained from the Crustal Movement Observation Network of China, and the corresponding velocity field was established using the new combined estimation method. A total of 85 reference stations were used as checkpoints, and the precision in the north and east component was 1.25 and 0.80 mm yr−1, respectively. The result obtained by the new method corresponds with the collocation method and multi-quadric interpolation without requiring the covariance equation for the signals.

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