Bibliographic record
Abstract
In order to protect the environment that receives them, it is necessary to manage marine outfall discharges of wastewater effluents, which typically contain different types of contaminants even after treatment. The objective of this paper is to answer the question: ‘To what extent is the receiving environment being exposed to effluents?' The focus is on effluent spreading in the far field. A particle-tracking technique is presented, in which effluents are represented by a large number of particles and the particles' trajectories are tracked for given conditions of ambient flow and density stratification. The technique is particularly useful for examining the undesirable scenario of effluents rising to the water surface or coming into contact with the seabed. Advection, non-Fickian horizontal diffusion and Richardson number-dependent vertical diffusion are taken into account. The technique is successfully applied to the discharge of effluents into a tidal channel where the water column is density-stratified. In this application, predictions of the temporally and spatially varying effluent concentration field agree well with field data. A proper formulation of the effects of stratification on vertical mixing of the effluents in the ambient water is the key to success. The technique has shown advantages in handling large spatial gradients.
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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".