Application of Low Pressure Reverse Osmosis Membranes for the treatment of UASB effluent
Bibliographic record
Abstract
Research was completed on the performance of low energy reverse osmosis membranes for the treatment of Upflow Anaerobic Sludge Bioreactor (UASB) effluent with the goal of water reuse. The parameters studied were included the flux profile, constituent rejection, and membrane resistance changes. An investigation into the effectiveness of pre-treatment by GAC column and a study of fouling characteristics was also completed. Wastewater was taken from an industrial partner who operated an industrial scale UASB used to treat is brewery effluent. The studied RO membranes showed between 94-96% COD rejection, 93-96% TP rejection, and 68-80% TN rejection. The effluent quality met the reused guidelines put forth by the US EPA, however limits found in case studies suggest that the effluent quality is high in both salinity and COD. A GAC column was found to improve the flux and rejection of all membranes. Calcium was identified as the main inorganic foulant.
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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".