An Evaluation of the Contributions of Short and Long Range Pollutant Transport on Southern Ontario's Atmospheric Sulfur Content
Bibliographic record
Abstract
Sulfur dioxide (SO2), particle sulfate (p-SO4-2), and total sulfur (SOx) were evaluated at York University, in Toronto, Canada, using a ThermoFisher SO2 analyzer and an Aerodyne Aerosol Mass Spectrometer. These measurements were compared with a dataset from 2002-2020, which demonstrated a downward trend in atmospheric sulfur. Toronto’s atmospheric sulfur decline has plateaued in recent years. Current mean SO2 was 0.37 ppb, p-SO4-2 was 0.60 μg/m3, and SOx was 1.6 μg/m3. There were no significant seasonal or daytime/nighttime differences. The effects of pollutant transport and major contributors to Toronto’s sulfur were determined. Major contributors to SO2 included Hamilton metal refineries, Greater Toronto Area chemical production facilities, the Nanticoke petroleum refinery, and vehicle emissions. Major contributors to p-SO4-2 are Sarnia petroleum and chemical production, Sudbury metal refineries, and long-range transport from the Ohio River Valley. A field study mass-balance determination of Sarnia’s SO2 emissions was estimated at 0.18 tonnes/hr (4,300 kg/day).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".