Worst air pollution Torre del Oro - Sevilla, today and tomorrow

On 19 July 2026, overall air quality in Torre del Oro is fair. PM2.5 is the main pollutant at 38.9/100. Pollution peaks around 7:00 PM (O3: 47.0/100).

On 20 July 2026, air quality conditions in Torre del Oro will be similar to today, with PM2.5 forecast at fair at 31.3/100. Pollution peaks around 7:00 PM (O3: 57.7/100).

Does air quality in Torre del Oro vary by season? Cold, windless spells in December and January are usually when conditions dip most, as heating emissions and traffic fumes accumulate under a stable atmosphere. Conditions tend to ease in spring, as more active weather systems bring the wind and rain needed to disperse ground-level pollution. Summer brings its own challenge in the form of ground-level ozone, which forms readily under strong sunshine and high temperatures, particularly during heatwaves. The transition into autumn generally brings cleaner conditions, as more frequent rainfall and lower temperatures curb ozone formation. Southern Spain's high summer temperatures, combined with periodic dust blown in from North Africa, tend to sharpen the seasonal contrasts here.

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.