Abstract:Using GNSS observation data to study the topographic deformation mode in the Karst area has certain reference significance for studying the laws of Karst geological deformation. We use GAMIT/GLOBK10.71 software to solve the data of 25 reference stations of GZCORS and obtain the single day coordinate time series of each station. We employ a spatial filtering algorithm based on principal component analysis to remove the common mode errors from the daily position time series. To analyze the characteristics of common model errors we use the spectral analysis method, and to determine the optimal noise model we use the maximum likelihood estimation method and motion speed of the station. The results show that the common model errors of GZCORS coordinate series contain obvious periodic terms, and the maximum amplitude periods in the north direction appear in 0.2 week/a, 1.2 week/a, 3.2 week/a and 4.2 week/a respectively; the optimal noise model of GZCORS station is dominated by WN+FN and WN+GM. After removing the common model errors, 36% of the station component noise characteristics have changed; after removing the common errors, the noise level of the coordinate time series is significantly reduced, and the estimation accuracy of the velocity of each coordinate component is significantly improved, in which N, E and U components are increased by 52%, 56% and 50% respectively.
YAO Xiuguang,GUO Jincheng,YAN Mengqi et al. Characteristic of Coordinate Time Series of GNSS Station in Guizhou Karst Landform Area[J]. jgg, 2024, 44(1): 10-15.