Worst air pollution Sant Feliu de Llobregat, today and tomorrow

On 9 August 2026, overall air quality in Sant Feliu de Llobregat is fair. AQI is the main air quality indicator at 38.1/100. Pollution peaks around 2:00 PM (O3: 38.1/100).

On 10 August 2026, air quality conditions in Sant Feliu de Llobregat will be similar to today, with AQI forecast at fair at 34.0/100. Pollution peaks around 2:00 PM (O3: 34.0/100).

Does air quality in Sant Feliu de Llobregat vary by season? Winter is generally the most challenging season, since low wind speeds and temperature inversions prevent traffic and wood-smoke pollution from dispersing. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. Summer brings its own challenge in the form of ground-level ozone, which forms readily under strong sunshine and high temperatures, particularly during heatwaves. Air quality usually improves through autumn, as returning rains and cooling temperatures wash out summer's ozone and dust build-up. Coastal sea breezes here usually aid dispersal, but summer visitor traffic and periodic dust intrusions from North Africa can still cause spikes.

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.