Optimisation of the operational parameters during a biological nitrification process using response surface methodology
Bibliographic record
Abstract
Abstract The main aim of this study was to determine the optimal operational parameters for a biological nitrification process. For this reason, a batch mode biological nitrification filled with acclimated sludge was used to remove ammonium from synthetic wastewater. Increasing the initial ammonium concentration from 50 to 300 mg NH 4 ‐N/L within 67 days led to a decrease in the removal efficiency of ammonium from 97.2% to 57.3%, which is equivalent to increasing the specific ammonium oxidation from 1.09 to 3.85 mg NH 4 ‐N/g MLVSS/h. Response surface methodology (RSM) based on central composite design (CCD) was used to evaluate the interactive effects of the three main parameters, including the sodium bicarbonate/ammonium chloride ratio, air flow rate and the reaction time, on the removal of ammonium. For the highest ammonium removal of 98.7%, the optimum sodium bicarbonate/ammonium chloride ratio, air flow rate and reaction time were identified to be 3.48, 3.44 vvm (volume air per volume reactor per minute) and 24.65 h, respectively, based on an initial ammonium concentration of 200 mg NH 4 ‐N/L.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".