Investigation of Laboratory-Scale and Pilot-Scale Attached Growth Ammonia Removal Kinetics at Cold Temperature and Low Influent Carbon
Bibliographic record
Abstract
Abstract A mobile testing center was installed at a lagoon wastewater treatment plant (WWTP) at Terrebonne, Canada to investigate the rate of ammonia removal of attached growth treatment systems at 4°C and at low influent carbon concentrations. The testing center housed two laboratory-scale reactors, a pilot-scale BioStyr system (Veolia Water) and a pilot-scale moving bed bioreactor (MBBR) system (Veolia Water). Although the rates of laboratory-scale and the pilot-scale systems demonstrated that the exposure time to low temperature has a significant effect on the kinetics of the system, the ammonia removal rates of all the systems were shown to be significant at 4°C. A strong correlation was demonstrated between the rates of ammonia removal produced by the laboratory-scale reactors, the pilot BioStyr system and pilot MBBR system; thus verifying the scaleup capability of the laboratory-scale reactors and demonstrating that nitrifiers can achieve ammonia removal under cold temperature conditions for elapsed periods of time independent of the reactor design. Finally, the ammonia removal rates of the laboratory-scale systems, the BioStyr pilot system, and the MBBR pilot system were all accurately predicted by a recently proposed Theta model.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 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".