Laboratory-Validated Model of Air Discharge at User Connections under Intermittent Water Supply
Bibliographic record
Abstract
Abstract The cyclic nature of intermittent supply subjects the network to frequent (partial) draining and filling. During filling, water displaces air in the pipes, and much of that air is discharged through user connections and water meters, causing over-reading and reliability issues. Important laboratory experiments have measured air discharge through meters during filling, but have not yet quantified or modeled the role of air compression. This paper revisits and augments these pipe-filing experiments, proposing, calibrating and interpreting a numerical model for the compressible flow of air during pipe filling. The rapid filling of a distribution-scale (1500 L) pipe compressed the air by 1.3 -2.5 fold, broke two-thirds of the tested water meters, and caused water meters to register 33-63% of the volumetric air flow as if it were water (500-1000 L). This partial registration was primarily caused by compression. Our results quantitatively relate air discharge to water meter over-registration, emphasizing the importance of gradual filling in intermittent systems. For meter protection, we recommend limiting filling speeds to less than the nominal flow rate of all downstream water meters.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".