SWMM Simulation of the Storm Water Volume Control Performance of Permeable Pavement Systems
Why this work is in the frame
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Bibliographic record
Abstract
The reliability of the low-impact development (LID) module of the widely used Storm Water Management Model (SWMM) for modeling the runoff reduction performance of permeable pavement systems was evaluated through example applications with rainfall data from Atlanta. The method of calculating infiltration through the pavement layers of permeable pavement systems of the LID module was found to be inadequate when the depths of the pavement layer are less than 120 mm and the computational time steps are longer than 30 min. An alternative method of representing permeable pavement systems as equivalent regular subcatchments is proposed. Using this method, the hydrologic operation of permeable pavement systems can be modeled by SWMM or other hydrologic models.
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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) | 0.000 | 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 it