Worst air pollution Eixample (Valencia) - Valencia, today and tomorrow

On 20 September 2026, overall air quality in Eixample (Valencia) is fair. AQI is the main air quality indicator at 29.9/100. Pollution peaks around 5:00 PM (PM2.5: 29.9/100).

On 21 September 2026, air quality conditions in Eixample (Valencia) will be similar to today, with AQI forecast at fair at 34.7/100. Pollution peaks around 5:00 PM (O3: 34.7/100).

When is air quality typically worst in Eixample (Valencia)? 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. As spring progresses, wetter and windier conditions generally help flush out the traffic and heating pollution that built up over winter. The heat of summer drives up ozone formation, and dry conditions occasionally bring smoke from regional wildfires into the mix. The first rains of autumn typically help clear out any lingering summer dust or ozone, setting up milder conditions ahead of winter. This Mediterranean location benefits from regular sea breezes, though summer's higher traffic volumes and occasional Saharan dust events can offset that.

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.