Bioretention Cells under Cold Climate Conditions: The Effect of Freezing and Thawing on Water Infiltration and Nutrient Removal
Bibliographic record
Abstract
Bioretention cells are widely used to reduce urban stormwater runoff, and improve water quality. However, their efficiency under cold climate is still poorly understood. The objective of this research is to understand the effect of freeze-thaw cycles on bioretention cell treatment and hydrological. In this study, soil column experiments were conducted with undisturbed soil cores collected from a bioretention site in Ajax, Ontario. A control column (at room temperature) and an experimental column were run. The experimental column underwent six freeze-thaw cycles consisting of 3 days at -10 Ë C followed by 2 days at 10 Ë C. Nitrate and phosphate concentrations were reduced by more than 95% in the drainage of both columns. Over the course of the experiments, the difference in drainage rates in the two columns increased slightly. The results of this research demonstrate that under cold climate conditions, bioretention cells can perform well for water infiltration and treatment.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".