Supercritical sewer flows at a combining junction: A model study of the Edworthy trunk junction, Calgary, Alberta
Bibliographic record
Abstract
An experimental study on supercritical sewer flows at a junction chamber was conducted using a physical model for the Edworthy trunk sewer in Calgary, Alberta. This model study showed that a junction chamber with a small angle of two combining inflows helps to retain kinetic energy of the flow and reduces the water level in the surcharged chamber, thus avoiding the occurrence of fountains. The behavior of the supercritical junction flow in the chamber was investigated. Transition of flow regimes in the chamber was studied and three flow regimes were identified: regime I features shock waves in open-channel flow in the chamber; regime II is characterized by surcharge flow in the chamber and orifice flow in the outlet pipe; and regime III is associated with pipe-full flow in the outlet pipe following the surcharged chamber. It was found that regime II could be the most critical condition for the consideration of water level in a surcharged chamber. A theoretical analysis of regime II flow was carried out, and the degree of submergence in the chamber can be satisfactorily predicted for given inflow conditions. The effects of a rounded entrance of the outlet pipe and the benching in the junction chamber were also evaluated experimentally. Key words: sewer hydraulics, supercritical flow, energy loss, junction manhole.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".