Worst air pollution Collado-Villalba, today and tomorrow

On 9 August 2026, overall air quality in Collado-Villalba is fair. AQI is the main air quality indicator at 38.1/100. Pollution peaks around 5:00 PM (O3: 38.1/100).

On 10 August 2026, air quality conditions in Collado-Villalba will be similar to today, with AQI forecast at fair at 36.1/100. Pollution peaks around 5:00 PM (O3: 36.1/100).

How do the seasons affect air quality in Collado-Villalba? Cold, windless spells in December and January are usually when conditions dip most, as heating emissions and traffic fumes accumulate under a stable atmosphere. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. Summer readings are shaped mainly by ozone, which builds under strong sun and heat, sometimes worsened by drifting wildfire smoke. Autumn typically starts mild and can still see occasional ozone or dust episodes before rain and cooler temperatures gradually restore cleaner conditions. Away from the moderating effect of the sea, this area experiences starker seasonal air quality swings than coastal Spain.

It is forecasts derived by downscaling forecasts provided by EU’s Copernicus Atmosphere Monitoring Service (CAMS) by taking into account local conditions such as traffic patterns. CAMS bases its forecast on satellite measurements of particles and chemical compounds in the atmosphere. Airmine’s services were developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team.

Airmine’s forecast uses CAMS (Copernicus Atmosphere Monitoring Service) as its background atmospheric model. While CAMS includes wildfire emissions, these are derived from satellite observations and are not available in real time. During rapidly evolving wildfire events, there may therefore be a delay before increased emissions are incorporated into the model. As a result, the forecast may temporarily underestimate PM₂.₅ and other pollutants associated with wildfire smoke.

During rapidly evolving wildfire events, CAMS may lag by approximately 1–2 days before increased wildfire emissions are fully represented, which can lead to temporary underestimation of PM₂.₅ concentrations in Airmine’s forecast.