Worst air pollution Alameda de Hércules - Sevilla, today and tomorrow

On 19 July 2026, overall air quality in Alameda de Hércules is fair. PM2.5 is the main pollutant at 22.5/100. Pollution peaks around 7:00 PM (O3: 47.0/100).

On 20 July 2026, air quality conditions in Alameda de Hércules will be better than today, with AQI forecast at medium at 57.7/100. Pollution peaks around 7:00 PM (O3: 57.7/100).

When is air quality typically worst in Alameda de Hércules? Winter mornings are frequently the year's most polluted, as fog and calm conditions trap traffic fumes and smoke from wood stoves close to the ground. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. High summer temperatures and strong sun exposure drive ozone levels up, occasionally combined with smoke from nearby wildfires during dry spells. The first rains of autumn typically help clear out any lingering summer dust or ozone, setting up milder conditions ahead of winter. Being close to North Africa, this area is more exposed to Saharan dust intrusions, which can add to the seasonal pattern described above.

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.