Bound Water Content of Activated Sludge and Its Relationship to Solids Retention Time, Floc Structure, and Surface Properties
Bibliographic record
Abstract
The bound water (BW) content of sludge from four bench‐scale sequencing batch reactors (SBRs), fed a glucose‐based synthetic wastewater and operated at different solids retention times (SRTs), and from five full‐scale, activated‐sludge systems treating different wastewater was determined using the dilatometric technique. Storing sludge at 4 °C before analysis resulted in a lower measured BW value. The SRT and surface charge were not correlated to the BW content of sludge from the bench‐scale SBRs (SRT range of 4 to 20 days) or full‐scale systems (SRT range of 4 to 25 days). A greater BW content was strongly associated with a smaller median floc size in bench‐ and full‐scale studies, indicating the importance of floc size in relation to the BW content. In bench‐scale studies, greater levels of total extracellular polymeric substances (EPS) correlated with an observed increase in the BW content of sludge. Individual EPS components either weakly correlated to or were not associated with changes in BW. Sludge samples from the bench‐scale SBRs with greater BW content were found to have greater sludge volume index values. For the full‐scale systems studied, there was no relationship between EPS and BW content of the sludge.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".