Assessing Height Variations in Qinghai-Tibet Plateau from Time-Varying Gravity Data and Hydrological Model

Shi, Tong; Guo, Jinyun; Yan, Hui‐Juan; Chang, Xiaotao; Ji, Bing; Liu, Xin

doi:10.3390/rs14194707

Cited by 3 publications

(6 citation statements)

References 53 publications

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“…Conversely, the P049 and NIST stations are situated in relatively high-elevation areas, while the NEDR station is positioned in a transitional zone between mountains and plains. These areas encounter relatively smaller hydrological mass changes and are affected not only by hydrological mass changes but also by geological structures [20]. Consequently, there are slightly larger differences in annual amplitudes between, SHF H  , and GF H  at these stations.…”

Section: Correlation Analysismentioning

confidence: 94%

“…According to (1), subtracting ∆N from ∆h results in the altitude change , but with relatively larger numerical differences. On one hand, the orthometric height variations detected by GPS include not only the influence of hydrological mass changes but also effects related to plate tectonics, seismic activity, and other factors [20]. On the other hand, this could be attributed to the presence of important aquifer systems in the study area, such as Paleozoic-Ordovician aquifers.…”

Section: B Comparative Analysis Of Orthometric Height Variationsmentioning

confidence: 96%

“…Guo et al [19] analyzed surface vertical deformation in the Shaanxi-Gansu-Ningxia region and found that the vertical deformation calculated by GRACE effectively explain over 50% of the annual signals in GPS station vertical displacements. Shi et al [20] utilized GRACE data, hydrological models, and GPS data to study orthometric height variations in the Tibetan Plateau and provided vertical tectonic movement rates in the region. The GLDAS model assimilates the land water storage data derived from GRACE and reflects the changes in shallow groundwater.…”

Section: Technologymentioning

confidence: 99%

“…In order to analyze the difference between GRACE and GPS vertical displacements, it is necessary to remove influences other than hydrologic loads from GPS vertical displacements. For this purpose, the GPS vertical deformation time series were processed using the MERRA2 non-tidal atmospheric load model and the MPIOM06 non-tidal ocean load model [20], [33]. Fig.…”

Section: Gps Datamentioning

confidence: 99%

“…GPS-derived results encompass not only the effects of mass migration but also the influence of tectonic movements, such as plate motions [20]. To study the tectonic movements in the MRB, it's necessary to remove the effects of mass migration from GPS-derived results.…”

Section: Tectonic Movement Ratesmentioning

confidence: 99%

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Height Variations in the Mississippi River Basin From Daily Time-Varying Satellite Gravity Data and Hydrological Model

Zhang,

Guo,

Shi

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The orthometric height variation is evident through changes in the geoid and surface vertical displacements. Hydrological mass change can induce variations in geoid height and surface deformation, consequently resulting in fluctuations in orthometric height. Studying the orthometric height variations in the Mississippi River Basin (MRB) caused by surface mass changes is crucial for understanding crustal uplift and ecological evolution. In this study, the superiority of daily solutions was demonstrated through comparison with the monthly solutions. Based on the Spherical Harmonic Function (SHF) and Green's Function (GF) methods, the orthometric height variations in the MRB were calculated by utilizing daily ITSG-Grace2018 solutions and a hydrological model. These results were then compared with the daily solutions obtained from 26 GPS stations within the study area. The results show that the spatial distribution of orthometric height variations in the MRB is uneven. Except for the western mountainous areas, which show an upward trend, the main trend is a decrease at a rate of 0.1 to 0.4 mm/yr. The average correlation coefficient between GPS solutions and the orthometric height variations calculated using SHF and GF is 0.71 and 0.72, respectively, indicating good consistency and hydrological loading was identified as a significant factor contributing to the orthometric height variations. After correcting GPS solutions with GLDAS, vertical tectonic motion rates were calculated at GPS stations. With the exception of a few GPS stations that were uplifted, most of the remaining GPS stations settled at a rate of 0.5 to 2.6 mm/yr.

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Section: Correlation Analysismentioning

confidence: 94%

Section: B Comparative Analysis Of Orthometric Height Variationsmentioning

confidence: 96%

Section: Technologymentioning

confidence: 99%

Section: Gps Datamentioning

confidence: 99%

Section: Tectonic Movement Ratesmentioning

confidence: 99%

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Height Variations in the Mississippi River Basin From Daily Time-Varying Satellite Gravity Data and Hydrological Model

Zhang,

Guo,

Shi

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Detecting and considering a relative tidal gravimeter drift

Chistiakova¹

2023

G&C

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Thorough study of the equipment is essential before any measurements are made. Relative tidal gravimeters are complex technical devices; they enable measuring gravity time variations with high accuracy (1 μGal). The main source of systematic errors is their instrumental drift. Value and nonlinearity of the drift for each unit is individual. There are plenty of considering methods; they depend on material and technical opportunities. The simplest and less resource-consuming algorithm is to take the drift into account using the piecewise linear approximation technique. This research deals with assessing the accuracy of accounting the instrumental drift of the gPhoneX#117 (Micro-g LaCoste, USA) tidal gravimeter using the specified means. For this purpose, the drift was obtained through approximation by polynomials of the first and second degree was estimated in comparison with the results of reference (absolute) observations. It is concluded that the method of piecewise linear approximation can only be used for rejecting poor quality measurements. It is recommended to identify, control and accounting the instrumental drift by comparing measurements with the data of regular absolute monitoring.

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Inversion of Regional Groundwater Storage Changes Based on the Fusion of GNSS and GRACE Data: A Case Study of Shaanxi–Gansu–Ningxia

Zhang²,

Wei³

et al. 2023

Remote Sensing

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This paper aims to address the limitations of the distribution number and uniformity of Continuously Operating Reference Stations (CORS) and their impact on the reliability of inverting regional groundwater storage (GWS) based on Green’s function method and using global navigation satellite system (GNSS) data. A fusion method on the inversion of regional GWS changes from GNSS and the Gravity Recovery and Climate Experiment (GRACE) was proposed in this paper. Taking the Shaanxi–Gansu–Ningxia (SGN) region as an example, the in situ groundwater level data from ten CORS stations and eight wells were used for test analyses. In this paper, an atmospheric pressure model from the European Centre for Medium-Range Weather Forecasts (ECMWF), a global land data assimilation system (GLDAS), a WaterGAP global hydrology model (WGHM), and mean sea level anomaly (MSLA) data were used to quantitatively monitor the influence of vertical deformation caused by non-tidal environmental load. After deducing these loading deformations from the filtered time series of non-linear monthly geodetic height from the GNSS, the GWS changes in the SGN region from 2011 to 2014 were inverted. Meanwhile, the change in surface water storage from the GLDAS and WGHM models were removed from the terrestrial water storage (TWS) changes derived from GRACE. On this basis, the remove–restore theory in the Earth’s gravity field was introduced to both fuse the inversion results and obtain the regional GWS changes based on the fusion method. The results showed the following: (1) The local characteristics from the fusion results were more prominent than those of GRACE on the spatial scale, such as in the southwest and northeast in the study area. In addition, the fusion results were more uniform than those from GNSS, especially for the sparse and missing areas in which CORS stations were located, and the local effect was weakened. (2) On the time scale, compared with GRACE, the trends in GWS changes obtained from the fusion method and from GNSS inversion were roughly the same as the in situ groundwater level changes. (3) For the in situ groundwater wells “6105010031” and “6101260010”, the correlation coefficients of the fusion result were 0.53 and 0.56, respectively. The accuracy of the fusion method was slightly higher than that from GNSS, which indicates that the fusion method may be more effective for areas where CORS stations are missing or sparsely distributed. The methods in this paper can provide significant reference material for hydrodynamic research, sustainable management of water resources, and the dynamic maintenance of height data.

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Assessing Height Variations in Qinghai-Tibet Plateau from Time-Varying Gravity Data and Hydrological Model

Cited by 3 publications

References 53 publications

Height Variations in the Mississippi River Basin From Daily Time-Varying Satellite Gravity Data and Hydrological Model

Height Variations in the Mississippi River Basin From Daily Time-Varying Satellite Gravity Data and Hydrological Model

Detecting and considering a relative tidal gravimeter drift

Inversion of Regional Groundwater Storage Changes Based on the Fusion of GNSS and GRACE Data: A Case Study of Shaanxi–Gansu–Ningxia

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