Investigation of the Tank Model for Urban Storm Water Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The effect of impervious surfaces in urbanizing watersheds on stormwater runoff volumes and peak flood flows is investigated using a lumped hydrologic model, known as the Tank model, for the urbanized Mimico Creek watershed in Ontario. This model includes a separate algorithm for the simulation of stormwater runoff from impervious surfaces and an algorithm for the simulation of runoff and baseflow generated from pervious areas of the watershed. The simulated daily flow records of the calibrated model matched well with observed historic flow records. Since Mimico Creek is currently at 50% imperviousness; the model to simulate the sensitivity to change in streamflow for both 40% and 60% imperviousness scenarios is demonstrated. This study presents a simple novel management tool for assessing the effect of change in imperviousness of an urban watershed on streamflow volumes and peak flood flows.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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