Worst air pollution Vilassar de Mar, today and tomorrow

On 20 September 2026, overall air quality in Vilassar de Mar is moderate. AQI is the main air quality indicator at 42.6/100. Pollution peaks around 1:00 AM (PM2.5: 42.6/100).

On 21 September 2026, air quality conditions in Vilassar de Mar will be similar to today, with AQI forecast at moderate at 41.7/100. Pollution peaks around 10:00 PM (NO2: 41.7/100).

How does air quality change throughout the year in Vilassar de Mar? The year's lowest air quality readings tend to cluster in winter, when high-pressure systems suppress the mixing that would otherwise clear away exhaust and smoke. As spring progresses, wetter and windier conditions generally help flush out the traffic and heating pollution that built up over winter. Summer brings its own challenge in the form of ground-level ozone, which forms readily under strong sunshine and high temperatures, particularly during heatwaves. Conditions generally improve through autumn as cooling temperatures reduce ozone formation and returning rains help disperse remaining pollutants. The mild, breezy Mediterranean climate generally supports good dispersal, though summer crowds and Saharan dust intrusions can occasionally push levels higher.

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.