Nitrite-oxidizing bacteria(NOB) inhibition by pulse sulfide doses in single-stage autotrophic biological nitrogen removal process for municipal wastewater treatment
Bibliographic record
Abstract
An external circulation sequencing batch reactor(ECSBR) was developed to investigate the autotrophic nitrogen removal from municipal wastewater based on a combined partial nitrification and anaerobic ammonium oxidation(ANAMMOX) process.Pulse dosing sulfide to ECSBR was applied to inhibit nitrite-oxidizing bacteria(NOB).The results showed that the NH+4-N concentration of effluent was below 3.78 mg · L-1,the removal efficiency was 88.4%,and the total nitrogen removal rate reached 66.8 g · m-3 · d-1.Before dosing sulfide,a complete nitrification dominated in reactor with a nitrate concentration of 13~22 mg · L-1 in the effluent,and the molar ratio of produced NO-3-N to consumed NH+4-N was more than 0.9.After sulfide was pulse dosed to reactor,the NOB activity was efficiently inhibited and the effluent NO-3-N was reduced to 4.18 mg · L-1.The molar ratio of produced NO-3-N to consumed NH+4-N decreased to 0.17.Most of the influent N was removed in the form of N2,which accounted for 65.4% of the influent N.A partial nitrification associated with ANAMMOX process became the dominant reaction after pulse dosing sulfide.It was also found that NOB inhibition caused by sulfide was reversible that the NOB activity could recover when the sulfide was no longer exposed.The pulse sulfide application can ensure the constant inhibition of sulfide on NOB during operation,which resulted in a better performance and a rapid start-up of the one-stage autotrophic nitrogen removal process.
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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) | 0.000 | 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 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".