A new approach to modelling initial dilution of a buoyancy-dominated jet in moving water
Bibliographic record
Abstract
Initial dilution is one of the most important measures in the design of ocean outfalls. Considerable efforts have been devoted in the past to modelling initial dilution of a buoyancy-dominated jet in moving water. This paper reviews available initial dilution models and presents a new modelling approach based on a length scale analysis combined with an additive entrainment hypothesis, and nonlinear regression modelling. The proposed approach is more systematic and more justifiable than existing methods for two reasons: (1) it uses an objective measure to evaluate the model and (2) it includes the effect of ambient current in the buoyancy-dominated near field (BDNF). Using available experimental data, a new, continuous, initial dilution model is proposed and compared with presently available models. The proposed model is presented in both deterministic and probabilistic form.Key words: asymptotic solutions, buoyant jets, forced entrainment, initial dilution, ocean outfalls.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".