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Abstract
Model performance for predicting NO and CO was best at sites close to major roads during specific conditions.
- RLINE effectively predicts traffic-related air pollutants in near-road environments.
- Model accuracy varies with location, being highest near major roads and under downwind conditions.
- Weekdays and certain seasons enhance the model's predictive ability for CO and NO.
- For particulate matter (PM), the model struggles to isolate traffic-related contributions due to high background levels.
- Limitations in PM predictions arise from a sparse monitoring network and uncertainties in various atmospheric processes.
- Key considerations for health studies include pollutant selection, monitoring methods, wind direction, and uncertainty management.
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