Hydrologic and Quality Control Performance of Zero-Exfiltration Pervious Concrete Pavement in Ontario
Bibliographic record
Abstract
Flooding and poor surface water quality are common issues in dense urban areas, and the challenge of managing stormwater requires a more effective approach. This study evaluates the hydrologic and water quality performance of a three year old, zero exfiltration pervious concrete parking lot in an urban area of St. Catharines, Ontario. Pervious concrete pavement exhibited a more naturalized hydrologic response compared with conventional asphalt, with volume reductions, and lag times to peak for every event observed, despite the zero exfiltration design preventing any infiltration into native soils. Residual concentrations in the pervious concrete effluent were below Provincial Water Quality Objectives and Canadian Water Quality Objectives for the majority of pollutants; however, high pH and elevated levels of aluminum and chromium were detected in the discharge. The site is well suited for further research, and long-term monitoring would help to evaluate the effectiveness of zero exfiltration systems in cold climates.
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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 | 0.000 |
| 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 | 0.001 |
| 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 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".