Worst air pollution Sant Antoni de Portmany, today and tomorrow

On 9 August 2026, overall air quality in Sant Antoni de Portmany is fair. AQI is the main air quality indicator at 37.3/100. Pollution peaks around 11:00 PM (O3: 37.3/100).

On 10 August 2026, air quality conditions in Sant Antoni de Portmany will be better than today, with AQI forecast at medium at 58.1/100. Pollution peaks around 4:00 PM (O3: 58.1/100).

When is air quality typically worst in Sant Antoni de Portmany? January is frequently the most difficult month, with cold stagnant air allowing wood-smoke and exhaust to build up instead of clearing. Spring is typically when conditions begin improving, as increasing wind speeds help disperse traffic emissions before they can accumulate. The heat of summer drives up ozone formation, and dry conditions occasionally bring smoke from regional wildfires into the mix. As autumn progresses, cooler temperatures and more frequent rain tend to bring air quality back toward its yearly average. The Mediterranean coast's sea breezes generally help disperse pollution, though summer tourism traffic and occasional Saharan dust can still push levels up.

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.