Rainfall runoff response characteristics of typical urban roads based on laboratory tests
Bibliographic record
Abstract
Aiming to address the lack of available and accurate runoff coefficients of various roads in urban flooding simulations and effectiveness assessments of permeable pavement on runoff reduction, the rainfall-runoff response characteristics of typical urban road pavements were investigated by laboratory-scaled tests. The results showed that average runoff coefficients and initial runoff times of pervious road pavements were almost 0.1 ∼ 0.2 and 7 ∼ 20 times those of impervious pavements, respectively. Moreover, permeable brick (PB) pavement presented better capacity for runoff mitigation than permeable asphalt concrete (PAC) pavement when the average rainfall intensity was 1.11 or 1.80 mm/min. The average runoff coefficient of cement concrete (CC) pavement ranged from 0.939 to 0.985 under all rainfall intensity and longitudinal slope combinations, while that of asphalt concrete (AC) was between 0.907 and 0.961. These results may be beneficial to improving the precision of runoff computation generated from roads or other site areas in urban flooding simulations.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".