LARGE-EDDY SIMULATION OF OXYGEN TRANSFER TO ORGANIC SEDIMENT BEDS
Bibliographic record
Abstract
We implemented and tested a bio-geochemical model for dissolved oxygen (DO) transfer from water to underlying organic sediment beds coupled with Large-Eddy Simulation of turbulent transport on the water side. A new numerical strategy for the coupling of the discretized governing equations on both sides has been developed. The model has been tested against laboratory data. A preliminary parametric study of the sediment oxygen uptake has been performed for a range of Reynolds numbers (Reτ &361; 180−1000) and Schmidt numbers (Sc = 200−500), with an open channel model. The mean oxygen distribution exhibits the expected behaviour for increasing wall stress: asympototic increase of the value of the mean DO concentration at the sediment-water interface (SWI), thinning of the diffusive sub-layer and increase in oxygen uptake by the organic sediment layer. We also confirm oxygen absorption trends suggested by semi-empirical transport models based on the surface-renewal theory. The effects of Sc are important at all Reynolds numbers since they affect directly the molecular DO flux at the SWI.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".