Worst air pollution Fuengirola, today and tomorrow

On 9 August 2026, overall air quality in Fuengirola is fair. AQI is the main air quality indicator at 38.9/100. Pollution peaks around 6:00 PM (O3: 38.9/100).

On 10 August 2026, air quality conditions in Fuengirola will be similar to today, with PM2.5 forecast at fair at 20.9/100. Pollution peaks around 6:00 PM (O3: 40.4/100).

What is the yearly air quality pattern like in Fuengirola? Cold, windless spells in December and January are usually when conditions dip most, as heating emissions and traffic fumes accumulate under a stable atmosphere. Air quality usually improves through spring, helped by more frequent frontal systems that bring rain and stronger winds to disperse local emissions. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. Conditions tend to stabilise in autumn, as cooling weather and increasing rain reduce the ozone spikes typical of summer. The south's long, hot summers and occasional calima dust events from across the Strait tend to intensify the usual seasonal swings.

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.