Evaluation of Stormwater Retrofit Options for Mimico Creek Watershed
Bibliographic record
Abstract
One of the major water pollution sources in the fully urbanized Mimico Creek watershed is storm runoff. In order to control stormwater quality, retrofit stormwater management practices (RSWMPs) should be implemented. This chapter documents a study which focuses on the evaluation of appropriate RSWMPs for the Mimi co Creek watershed. These practices are selected based upon physical site constraints, cost-effectiveness, and the potential to be incorporated into municipal capital works and maintenance programs. Using a derived probabilistic rainfall-runoff model and a treatment train efficiency model, the cumulative reduction of runoff volume and solids loading of a series of appropriate RSWMPs are determined to be 7% and 18% respectively. In the Mimico Creek watershed, the descending order of cost-effectiveness is: (i) downspout disconnection; (ii) water quality ponds; (iii) stormwater exfiltration systems; and (iv) oil/grit separators. Thus, the sequence ofRSWMP implementation should follow the descending order of cost-effectiveness.
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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) | 0.000 | 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 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".