Worst air pollution Ramón Sánchez-Pizjuán - Sevilla, today and tomorrow

On 19 July 2026, overall air quality in Ramón Sánchez-Pizjuán is fair. PM2.5 is the main pollutant at 31.3/100. Pollution peaks around 7:00 PM (O3: 47.0/100).

On 20 July 2026, air quality conditions in Ramón Sánchez-Pizjuán will be similar to today, with NO2 forecast at fair at 27.5/100. Pollution peaks around 7:00 PM (O3: 57.7/100).

What time of year has the cleanest air in Ramón Sánchez-Pizjuán? The coldest months usually see the year's poorest conditions, since calm anticyclonic weather holds local traffic and wood-burning pollution near street level. Spring usually brings an improvement as more frequent rain and stronger winds help clear the air and wash out pollutants that built up over winter. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. 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.