Worst air pollution Santa Lucía de Tirajana, today and tomorrow

On 9 August 2026, overall air quality in Santa Lucía de Tirajana is fair. PM2.5 is the main pollutant at 39.8/100. Pollution peaks around 7:00 AM (PM10: 49.1/100).

On 10 August 2026, air quality conditions in Santa Lucía de Tirajana will be similar to today, with O3 forecast at fair at 31.3/100. Pollution peaks around 11:00 PM (PM10: 51.0/100).

How does air quality change throughout the year in Santa Lucía de Tirajana? Air quality is typically at its weakest in December and January, when cold, calm high-pressure spells trap traffic exhaust and wood-smoke close to the ground instead of letting it disperse. Conditions generally start to recover in spring, as increasing wind and rainfall break up the stagnant air masses typical of winter. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. Autumn generally marks the shift back toward calmer, cleaner conditions as temperatures drop and rainfall becomes more regular. The Canary Islands' subtropical trade-wind climate keeps conditions milder year-round, though Saharan dust intrusions (calima) can arrive at any time of year and briefly dominate.

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.