Worst air pollution Estadio Heliodoro Rodríguez López - Santa Cruz, today and tomorrow

On 19 July 2026, overall air quality in Estadio Heliodoro Rodríguez López is fair. PM2.5 is the main pollutant at 36.3/100. Pollution peaks around 1:00 PM (PM10: 46.7/100).

On 20 July 2026, air quality conditions in Estadio Heliodoro Rodríguez López will be similar to today, with PM2.5 forecast at fair at 38.1/100. Pollution peaks around 7:00 PM (PM10: 45.3/100).

How do the seasons affect air quality in Estadio Heliodoro Rodríguez López? 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. 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. Thanks to the trade winds, conditions here vary less through the year than on the mainland, though Saharan dust intrusions remain an occasional disruption regardless of season.

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.