Use of a coupled SBR–MBR for treatment of produced water enriched by halophilic bacteria
Bibliographic record
Abstract
The performance of a sequencing batch bioreactor (SBR) coupled with a membrane bioreactor (MBR) for treatment of hypersaline produced water by insertion of a halophilic bacterial consortium was tested at three different organic loading rates (OLRs): 1, 2 and 4 (kg chemical oxygen (O2) demand (COD)/m3)/d. Four total dissolved solids (TDS) concentrations (20, 50, 80 and 120 g/l) were investigated in this study. At different TDS concentrations and OLRs, COD removal was found to be efficient at 91·3–99·5% and the amount of mixed liquor suspended solids (MLSS) varied from 4·61 to 9·88 g/l. The amounts of COD removal and MLSS increased with increased OLRs and decreased in hypersaline concentrations. Increases in TDS had a negative effect on membrane flux and fouling rates, but, in this hybrid system, the reduction in flux with increase in TDS was minor, while high-quality treated water was produced from the immersed membrane.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".