Impact of Heatwave Events on Ozone Pollution and Its Health Effects in Southern Canada
Bibliographic record
Abstract
In order to study the impact of heat waves on ozone in southern Canada, this paper analyzes the ground-level and tropospheric ozone pollution in the heat wave impact and non-impact periods in this region, and uses multivariate data and BenMAP-CE software to compare the correlation between ground-level ozone and temperature, ozone and relative humidity, and their impacts on human health during the impact and non-impact periods of the heat wave in the southern region of Canada. The study shows that: (1) the overall spatial distribution patterns of tropospheric ozone and ground-level ozone concentrations in southern Canada are high in the southeast and low in the northwest, and the ozone concentrations are significantly higher during the heatwave-affected period than during the non-heatwave-affected period. (2) Temperature-ozone correlations were mainly uncorrelated in the eastern and western parts of the study region during non-heatwave-affected periods. The occurrence of summer heat waves enhanced the positive temperature-ozone correlation in most areas. (3) The negative correlation between relative humidity and ozone in the study area during the heatwave-affected period accounted for a smaller percentage of the area than in the non-affected period. The presence of heat waves weakened the negative correlation between relative humidity and ozone. (4) The occurrence of heat waves in the study area led to an increase in the number of deaths due to ozone exposure, with growth rates ranging from 22.6% to 23.2%, and there were significant gender and geographic differences in the number of deaths due to ozone exposure. It was concluded that ozone pollution in the region is closely related to the occurrence of heat waves, and that the strengthening of integrated research on air pollution and climate change will be a major task for the future.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".