Effect of Soluble Microbial Products on Simultaneous Nitrification-Denitrification in MBRs
Bibliographic record
Abstract
Previous work on MBR reported nitrogen removal via simultaneous nitrification and denitrification (SND) to be unstable despite steady state conditions and the concentrations of soluble microbial products (SMP) in MBR were found to vary up to 60% of the average value. The results of the present study showed that oxygen transfer efficiency (KLa) is a function of the mixed liquor suspended solids and SMP concentrations with improved KLa at lower biomass and higher SMP concentrations. Under limited DO conditions, the reaction rate inside the floc changes with KLa and while nitrification is enhanced at higher KLa SND decreases. Therefore, in order to achieve a reliable and stable SND in MBRs, a very tight DO control or other means of DO control such as control based on the activity of anoxic enzyme could be a more viable option. This might necessitate spatial arrangement of membranes or compartmentalization of submerged MBR tanks for a better DO control.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".