Worst air pollution Santa Cruz (Sevilla) - Sevilla, today and tomorrow

On 19 July 2026, overall air quality in Santa Cruz (Sevilla) is fair. PM2.5 is the main pollutant at 26.1/100. Pollution peaks around 7:00 PM (O3: 47.0/100).

On 20 July 2026, air quality conditions in Santa Cruz (Sevilla) will be similar to today, with PM2.5 forecast at fair at 21.1/100. Pollution peaks around 7:00 PM (O3: 57.7/100).

Does air quality in Santa Cruz (Sevilla) 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. The transition into spring usually brings cleaner air, as more frequent rain and wind reduce the buildup of local pollution. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. Air quality usually improves through autumn, as returning rains and cooling temperatures wash out summer's ozone and dust build-up. This area's proximity to North Africa means Saharan dust episodes can arrive at almost any time of year, layering onto the seasonal pattern.

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.