PM2.5 dispersion modelling from La Ronde fireworks events in Montreal using AERMOD and ArcMap
Bibliographic record
Abstract
Particulate matter from fireworks events are poorly understood sources of PM2.5 despite their potential to add significant quantities of PM2.5 to the atmosphere. PM2.5 has been found to aggravate various cardiovascular and respiratory illnesses and has been linked to premature death. Each year La Ronde amusement park on Sainte-Helene Island exhibits numerous firework events in what is considered one of the world's premiere pyrotechnic competitions. These individual events are the centre of study for this project. Each event was modelled using Lakes Environmental's version of AERMOD, which estimated PM2.5 concentration plumes which then underwent geospatial analysis using ArcMap. This project details the PM2.5 plume dynamics from La Ronde fireworks events from 1990-2004, and how these events impact a ten kilometer radius around the island of Sainte-Helene in Montreal, Canada.
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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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".