Investigation into using EPAnet software to design trickle fill water distribution systems
Bibliographic record
Abstract
Small rural drinking water systems in Alberta face financial challenges when supplying potable water via traditional pressurized distribution system. In many rural settings, the costs can be reduced by employing an innovative solution of distributing and delivering water via low-pressure water supply system, often called trickle fill system. This research develops a modelling approach to design the trickle fill system in Rockyview County, Alberta and investigates into EPAnet software application suggested by US Environmental Protection Agency to study and analyze system hydraulics, water quality, and energy profile. The conducted research concludes the trickle fill system design cannot be performed by EPAnet alone and suggests modeling software applications suitable for rural water development to be used in combination with EPAnet software. The study proposes options for energy optimization for Rockyview County and finds that trickle fill system implementation is the most suitable option.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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".