Metro Vancouver Region's Combined Sewer and Sanitary Sewer Overflows Monitoring and Risk Assessment
Bibliographic record
Abstract
Metro Vancouver's Integrated Liquid Waste and Resource Management Plan (ILWRMP) states that no new combined sewers will be constructed, and that existing combined sewers will be separated into storm and sanitary sewers via infrastructure replacement or sewer capacity upgrading programs. The ILWRMP also requires prevention of wet weather SSOs for 24 hour storm events of less than 1 in 5 years, outlines a commitment to characterize the quality of CSO and SSO discharges and assess their impact on the receiving water bodies. Samples for both CSO and SSO monitoring programs are collected using automated samplers, triggered by a supervisory control and data acquisition system (SCADA), based on wastewater system levels. For CSOs and SSOs sample collection is done during or just prior (respectively) to the initial discharge with the intent of capturing the first flush when levels and loadings of contaminants are highest and represent worst case scenarios. CSO and SSO quality are characterized through analyses of samples for bacteriology, physico-chemical constituents and toxicity. Parameters are selected based on their potential presence in wastewater at levels of concern, usefulness as indicators of ecological or human health impacts, or are required for consideration of potential mitigation actions. The monitoring information is further used in human health and ecological risk assessment. The findings of the risk assessment are used for negotiation with the regulators and prioritization and design of mitigation infrastructure when required.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".