How do you predict smog levels?

Smog levels can be predicted using a combination of meteorological data, air quality monitoring, and atmospheric models. Meteorological factors such as temperature, humidity, wind speed, and atmospheric pressure are analyzed to understand how they affect pollutant dispersion. Additionally, real-time air quality measurements and historical data can be incorporated into predictive models to forecast smog conditions. Advanced machine learning techniques may also be employed to enhance the accuracy of these predictions.