Resum

Air pollution in urban areas has become a topic of major concern for all relevant institutions. It is well established that living in areas with high levels of air contaminants is linked to adverse health effects. The concentration of a pollutant like NO2 is closely related to traffic emissions, and thus city halls can typically reverse unfavorable air situations by implementing traffic restrictions. This work intends to design, develop and validate a numerical tool that can be used to predict and quantify the concentration of NO2 in urban areas at a micro-scale level. Such a tool is designed to be both accurate and fast because its final goal it to inform decision-making about the suitability of implementing proper traffic restrictions in a daily basis.