Optimized design of a stable, long term and robust attached growth mainstream partial nitritation system
Bibliographic record
Abstract
A sustainable and cost-effective control system to achieve stable mainstream partial nitritation (PN) is essential to transition the anammox process for mainstream municipal wastewater treatment.This study identifies the optimal distinct elevated surface area loading rates (SALR), hydraulic retention times (HRTs), and airflow rates that achieve stable PN performance (i.e., optimum total ammonia nitrogen (TAN) removal kinetics and percent NOx as nitrite) in a mainstream elevated loaded PN MBBR system.The study shows that TAN SALR, HRT, and airflow rate significantly affect TAN surface area removal rates (SARR) and percent NOx as nitrite and, as such, identifies the optimal design parameters (TAN SALR, HRT and airflow rate) of a mainstream elevated loaded PN MBBR system.A TAN SALR of 5 g TAN/m 2. d, HRT of 2h and airflow rate of 1.5 L/min are identified to provide stable PN performance with a TAN SARR of 2.30 ± 0.34 g TAN/m 2. d and a percent of NOx as nitrite of 84.8 ± 1.2%.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".