Worst air pollution Acueducto de Segovia - Segovia, today and tomorrow

On 9 August 2026, overall air quality in Acueducto de Segovia is fair. O3 is the main pollutant at 38.1/100. Pollution peaks around 2:00 AM (NO2: 40.4/100).

On 10 August 2026, air quality conditions in Acueducto de Segovia will be similar to today, with O3 forecast at fair at 36.1/100. Pollution peaks around 7:00 AM (NO2: 44.5/100).

When is air quality typically worst in Acueducto de Segovia? Winter high-pressure systems tend to produce the year's worst episodes, as still air traps traffic fumes and heating smoke at ground level. The transition into spring usually brings cleaner air, as more frequent rain and wind reduce the buildup of local pollution. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. As autumn progresses, cooler temperatures and more frequent rain tend to bring air quality back toward its yearly average. The plateau's continental climate, with cold winters and hot, dry summers, tends to produce more pronounced seasonal differences here.

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.