Coagulation assisted membrane filtration to treat high strength wastewater from municipal solid waste anaerobic digesters
Bibliographic record
Abstract
Effluents from the anaerobic digestion of municipal solid wastes contain a variety of organic and inorganic components with a high concentration of nitrogen and phosphorous. The feasibility to treat these effluents prior to discharge or reuse was evaluated experimentally using membrane filtration coupled with coagulation pretreatment. Standard jar tests were conducted by varying alum doses and pH values. Both raw and coagulated wastewaters were then filtered using a submerged ultrafiltration apparatus at different sparging aeration rates and permeate fluxes. It was shown that coagulation reduced the membrane fouling rates due to the increase in particle sizes. Furthermore, the flocs formed from sweep coagulation had a better filterability than those from charge neutralization. However, coagulation pretreatment only moderately increased the removal efficiencies of organic matter from subsequent ultrafiltration because only a portion of oganic matter could be adsorbed and (or) co-precipitated on coagulated flocs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".