BIOLOGICAL TREATMENT OF PULP MILL WASTEWATER USING SEQUENCING BATCH REACTORS
Bibliographic record
Abstract
Lab-scale sequencing batch reactors were used to treat chemithermomechanical pulping wastewater that had chemical oxygen demand (COD) and biochemical oxygen demand (BOD) in the range of 5,980-8,990 mg/L, and 2,240-3,190 mg/L, respectively. A cycle time of 24 hour, with a hydraulic retention time of 34.3 hours was used. With 1 hour of settling, COD and BOD reductions of 30-41% and 67-78% were observed. However, with a 4-hour settling, COD and BOD reductions of 53-62% and 88-94% were achieved, respectively. Most of the oxygen demand reductions occurred within the first 16 hours of aeration. Adjustment of pH did not result in significant improvement in COD removal. Resin acids and fatty acids concentrations in the CTMP wastewater were reduced in the SBR process; however, they were still not fully detoxified in the effluent.
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 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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".