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EN
In processing of position time series of crustal deformation monitoring stations by continuous GNSS station, it is very important to determine the motion model to accurately determine the displacement velocity and other movements in the time series. This paper proposes (1) the general geometric model for analyzing GNSS position time series, including common phenomena such as linear trend, seasonal term, jumps, and post-seismic deformation; and (2) the approach for directly estimating time decay of postseismic deformations from GNSS position time series, which normally is determined based on seismic models or the physical process seismicity, etc. This model and approach are tested by synthetic position time series, of which the calculation results show that the estimated parameters are equal to the given parameters. In addition they were also used to process the real data which is GNSS position time series of 4 CORS stations in Vietnam, then the estimated velocity of these stations: DANA (n, e, u = -9.5, 31.5, 1.5 mm/year), HCMC (n, e, u = -9.5, 26.2, 1.9 mm/year), NADI (n, e, u = -10.6, 31.5, -13.4 mm/year), and NAVI (n, e, u = -13.9, 32.8, -1.1 mm/year) is similar to previous studies.
EN
Presented paper is dedicated to problems of deformation of the Earth's crust as a response to the surface loading caused by continental waters. The aim of this study was to specify areas particularly vulnerable to studied deformation and to compare calculated and observed displacements. Information of the continental water volume was taken from the WaterGAP Global Hydrological Model. Calculated values of the deformations were verified with the results obtained with programs SPOTL and grat. Vertical deformations were almost 10 times higher than the deformation in the horizontal plane, for which reason later part of the paper focuses on the former. In order to check agreement of the calculated and observed deformation 23 stations of International GNSS Service (IGS) were selected and divided into three groups (inland, near the shoreline and islands). Before comparison outliers and discontinuities were removed from GNSS observations. Modelled and observed signals were centred. The analysed time series of the vertical displacements showed that only for the inland stations it is possible to effectively remove displacements caused by mass transfer in the hydrosphere. For stations located in the coastal regions or islands, it is necessary to consider additional movement effects resulting from indirect ocean tidal loading or atmosphere loading.
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