An Approach to Modeling Real-Time Control of Dynamic and Static Radial and Sluice Gates within EXTRAN
Bibliographic record
Abstract
This chapter presents an approach to analysing combined sewer systems with dynamic sluice and radial gates for real-time flow control.New code was developed for radial gates and integrated into version 4 of the Extended Transport{EXTRAN)moduleoftheStormwaterManagementModel(SWMM4).The new program is called RGEXTRAN and is suitable for handling unsteady flow conditions occurring in real sewer systems with radial and regular sluice gates.The program also makes provision for dynamic control of the radial gates (or other gate types) based on flow conditions at remote locations in the sewer system.The radial gate code has been verified under a wide range of flow conditions, and found to produce good results for most conditions.The code can be used for dynamic or static sluice gates as well as radial gates by using the "constant discharge coefficient" option.RGEXTRAN is subject to the numerical stability concerns associated with the explicit scheme used in the EXTRAN program.This chapter covers the background and describes the verification of the new code. ~-------~-
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".