Worst air pollution Villanueva de la Serena, today and tomorrow

On 20 September 2026, overall air quality in Villanueva de la Serena is fair. AQI is the main air quality indicator at 25.4/100. Pollution peaks around 11:00 PM (PM2.5: 25.4/100).

On 21 September 2026, air quality conditions in Villanueva de la Serena will be similar to today, with AQI forecast at fair at 26.8/100. Pollution peaks around 10:00 PM (PM2.5: 26.8/100).

How does air quality change throughout the year in Villanueva de la Serena? Cold, windless spells in December and January are usually when conditions dip most, as heating emissions and traffic fumes accumulate under a stable atmosphere. As spring progresses, wetter and windier conditions generally help flush out the traffic and heating pollution that built up over winter. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. Conditions tend to stabilise in autumn, as cooling weather and increasing rain reduce the ozone spikes typical of summer. The continental interior's hot, dry summers and cold, still winters make it prone to sharper seasonal 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.