Physical Scale and Computational Modeling in the Development of a Vortex-Type Stormwater Retention Pond
Bibliographic record
Abstract
This paper presents results from a study to examine the flow and sediment deposition patterns in a new vortex-type stormwater retention pond using physical scale and computational models. The pond, that is circular in plan, has a peripheral inlet and a central outlet, which creates a strong circulation in the pond. Two geometries of the pond were tested. Measurements of the residence time distributions, flow patterns, and sediment deposition patterns were taken at the design flows for the two pond geometries. The effectiveness of an internal berm to improve desirable flow characteristics was also examined. The berm improved flow and sediment deposition in the pond, as the sediment deposition patterns showed that most of the sediments deposited outside the berm. This is considered to be beneficial for pond maintenance. The physical scale model results are also compared to 3D computational fluid dynamics (CFD) modeling results using ANSYS Fluent.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".