Impact of soluble organic compounds on permeate flux in an aerobic membrane bioreactor
Bibliographic record
Abstract
The relative impact of mixed liquor suspended solids and soluble organic compounds on the permeate flux in an aerobic membrane bioreactor (MBR) were investigated during long-term operation. A statistical correlation analysis performed on data obtained over an approximately 700 day operational period revealed that permeate flux was strongly correlated to soluble organic compounds such as soluble sugars and proteins and was not correlated to total mixed liquor COD. Organic compounds with sizes less than 0.10 microm exhibited the strongest correlation to permeate flux. Specific filtration tests conducted on the MBR showed that the effect of soluble COD was most pronounced in the range of 110-210 mg 1(-1). A critical level of soluble COD was established at 500 mg 1(-1) after which point no correlation was present. The effluent quality remained high throughout the study at below 5 mg 1(-1) total COD, indicating that the membrane was able to retain most organic compounds regardless of mixed liquor soluble COD content. It was concluded that MBR permeate fluxes are enhanced when operating at conditions where bio-degradation is improved and soluble organic compounds are reduced.
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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 | 0.001 |
| 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 | 0.000 | 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".