Simulated Tidal Residual Currents and Implications for Sediment Transport in Sanya Bay
Bibliographic record
Abstract
Tidal residual currents are a significant component of shallow ocean circulation that determines the net transport of nearshore nutrients, pollutants and sediments. Although existing work has revealed some aspects of the tides and tidal current characteristics, the structure of tidal residual currents and their relationship with sediment transport in Sanya Bay have been insufficiently researched. This study utilizes a three-dimensional MITgcm model to explore the characteristics of the tidal residual currents in Sanya Bay. The research reveals that Eulerian residual current, which is minimal along the coast with a velocity of less than 0.3 cm/s, exhibits a relatively large average speed of approximately 4.8 cm/s, especially evident around West Island and the southwest tip of Luhuitou Peninsula, where currents peak at 26 cm/s. Two clockwise residual circulations and some smaller-scale residual circulations are identified, significantly affected by the coastline and islands. The Stokes residual current, despite its smaller amplitude averaged at 0.3 cm/s with localized maxima of 0.9 cm/s, constitutes over 30% of the Lagrangian residual current in coastal areas, and is opposite in direction to the Eulerian residual current. The Lagrangian residual current, averaging approximately 4.8 cm/s, is shaped by both Eulerian and Stokes residual currents, with the O1 and K1 tidal constituents being the main influencers. The tidal residual currents in Sanya Bay are intimately connected with sediment transport trends, with the exception of nearshore areas from Tianya Haijiao to HaiYue Square where other factors such as waves and wind may exert a greater influence. Analysing the tidal residual currents is vital for anticipating the diffusion and transport of sediments and other substances in Sanya Bay.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".