Atmospheric pollution is one of the environmental factors with the greatest impact on human health throughout Europe, contributing in a non-negligible manner to the total burden of mortality in urban areas. In this context, modelling techniques have become very useful to study the dynamics and transport of air pollutants and to forecast air quality concentrations that can have an impact on human health. Apart from anthropogenic pollutants, natural dust is also responsible of a variety of health problems (allergies, respiratory diseases or eye infections).

Air quality forecasts are important to know in advance the occurrence of contamination episodes and its duration. Both the health sector and the society in general are interested in knowing the quality of the air we breathe and, in case of an episode, to know for how long the air quality is going to be deficient. This type of information has the following application to health sector:

  • Early-warning system, especially for people vulnerable to air pollution



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