Determining the displacement velocity of some continuously operating reference stations (CORS) in Vietnam in the period 2019÷2024 using the Precise Point Positioning method
Bibliographic record
Abstract
Precise knowledge of tectonic motion allows us to better understand the mechanism of Earth's crustal deformation and dynamics. The modern method commonly used to determine the velocity of tectonic plate movement today is Precise Point Positioning (PPP). We use the online service of the Canadian Ministry of Natural Resources CSRS - PPP to process GNSS data of 12 Continuously Operating Reference Stations (CORS) in Vietnam during the period 2019÷2024. These CORSs are managed by Tuong Anh Company and are evenly distributed throughout the territory. The PPP processing results show that the time series of the North, East and Up components of the CORS stations fluctuate with a period of approximately 1 year. After modeling this variation with a sine function with a fixed period of 351.6 days, we calculated the average displacement velocity of the stations as (-8.8, +29.6, -3.1) mm/year in the North, East and Up components. Compared to the period 2019÷2022, the displacement velocity of the tectonic plate is almost unchanged in direction and magnitude. The deviation in the horizontal components is 1 mm/year and the Up is 1.6 mm/year. In order to avoid possible effects due to the conversion of the ITRF 2014 to ITRF 2020 on November 27, 2022, we calculated the displacement velocity for the period 12/2022÷9/2024. This result gives an average deviation compared to the period 2019÷2024 in the horizontal and up components of 1mm/year and 3mm/year. It proves the model fit and the correctness of the applied coordinate transformation parameter set.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".