Municipal wastewater treatment using a membrane aerated biofilm reactor
Bibliographic record
Abstract
The performance of a membrane aerated biofilm reactor (MABR) treating raw municipal wastewater primary effluent was optimized. The MABR performance was challenged by the gradual increase of the organics and ammonia surface loading rates with hydraulic retention times (HRT) of 10.7, 6.24, 4.0, 2.0 and 3.0 h. With organics and ammonia surface loading rates of 20 g total chemical oxygen demand m −2 d −1 and 3.32 gNH 4 + -N m −2 d −1 , respectively, the reactor achieved simultaneous organics, nitrogen and total nitrogen reductions of 98, 96 and 67%, respectively. Microbial analysis indicated the coexistence of nitrite oxidizing bacteria, ammonia oxidizing bacteria, aerobic denitrifying bacteria and other bacteria within the MABR biofilm, correlating to simultaneous nitrification, denitrification and organics within the reactor. Acceptable effluent water quality was obtained when the MABR was operated at an HRT as low as 3 h.
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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".