Kinetic and empirical design criteria for constructed wetlands
Bibliographic record
Abstract
Design criteria were derived for estimated the size of constructed wetlands needed to treat oil sands mining wastewater using a field-scale wetland experimental facility in northeastern Alberta, Canada. The objective of this research was to demonstrate the capabilities of such wetlands as long-term, self-sustaining "natural" systems for the treatment of large quantities of wastewater anticipated to be released from tailings ponds after mine abandonment. Using empirical data (i.e., hydrocarbon loading rates versus effluent quality), the optimal range of hydrocarbon loading was 5 to 25 gTEH/m²/month. Using more conservative kinetic data (i.e., microbial mineralization rates), the range of optimal treatment effectiveness was 9.6 to 13.2 gTEH/m²/month. Since these two design criteria methodologies were calculated using two independent analytical methods, the similarity in results represents a substantial validation of their accuracy. Further research is being undertaken to confirm these findings, to improve treatment performance, and to assess the ecological characteristics of these wetlands. Key Words - constructed wetland, design criteria, hydrocarbons, mineralization
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".