Monitoring Performance of Low Impact Development Measures Implemented at the Conestoga College South Campus
Bibliographic record
Abstract
Through a system of bioswales, infiltration galleries, detention ponds, oil-grit separators and a cooling trench, the discharge from a new development can match or exceed in quality the pre-development discharge. These considerations underlie the stormwater management design for Conestoga College's South Campus in Cambridge, Ontario. The site was equipped with bioswale infiltration gallery inspection ports, seepage collection system monitoring locations, groundwater monitoring locations, temperature monitors and level monitors. The data was collected for a period of 6 months in 2012 as part of a 5 y monitoring program to assess the performance of the design implementation. In conjunction with rainfall and ambient temperature data, the effectiveness of the stormwater system to reduce the volume of runoff, the peak flow and the discharge temperature was determined via statistical analysis. In addition to meeting the runoff and peak flow control objectives, the temperature differential across the monitoring stations demonstrated that there was an average cooling of the runoff. The temperature differential was compared to initial conditions such as ambient temperature, initial runoff temperature and water level. Each of these relationships fitted a linear regression, which indicates a good method for predicting future performance.
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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 | 0.002 | 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 | 0.001 | 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 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".