Modelling wastewater effluent mixing and dispersion in a tidal channel
Bibliographic record
Abstract
The dilution and dispersion behaviour of wastewater effluent discharged from the Lions Gate Wastewater Treatment Plant into Burrard Inlet in British Columbia is investigated. This investigation focuses on the initial dilution zone, where low dilutions or high concentrations of contaminants contained in the effluent potentially pose a water-quality problem. We took the numerical approach and used field measurements of effluent dilutions, ambient stratification, and currents made in the vicinity of the discharge point for model input and verification. Predictions of effluent dilution and trapping compare well with the field results. We successfully determined the zone of exposure, effluent dilutions, trapping depths, and dispersion pathways as a function of discharge flow rate, ambient currents, and ambient stratification. It is shown that effluent trapping and dilutions in the initial dilution zone are governed mainly by the ambient currents, discharge rate, and, to a small extent, ambient stratification.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".