Aerated stabilization basin design and operating practices in the Canadian pulp and paper industry
Bibliographic record
Abstract
Aerated stabilization basins (ASBs) currently account for about one third of the pulp and paper industry's secondary treatment capacity. We surveyed mills with ASBs to analyze design and operating practices. Of the 19 mills that responded, 15 were kraft, reflecting the industry's overall use of ASBs. Biochemical oxygen demand (BOD) and total suspended solids (TSS) loading to the ASBs varied considerably and were factors in biotreatment performance. Problems identified with some ASBs included excessive solids accumulation resulting in the need for frequent dredging, high TSS discharge, and difficulty with nutrient management. Most ASBs have either two or three cells. An important parameter identified for these cells is the benthal settling area. Too small an area results in a higher dredging frequency, with limited nutrient feedback. In general, ASB systems that used the most intensive mixing and aeration in the upstream cells tended to have a smaller benthal settling area, resulting in the need to dredge more frequently. Ideally, some benthal settling should be designed into the upstream cells to allow nutrient feedback where it is needed most. Key words: aeration tanks, lagoons, basins, aeration, benthic deposits, design, operations, biological treatment, primary treatment, tertiary treatment, nutrients, aerated stabilization basin (ASB).
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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 | 0.001 | 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".