The majority of Europe’s urban population is exposed to levels of air pollutants above new World Health Organization (WHO) guidelines. The European Environment Agency (EEA) has reported that human activities are the main drivers behind the dangerous levels. In this context, the Marie Skłodowska-Curie Actions project MODELAIR will provide specialised training to 10 doctoral candidates to design new disruptive technologies to control air pollution and make these new technologies available to city Councils and relevant industrial sectors.
MODELAIR proposes a combination of theoretical, experimental, numerical, and data-driven science that will simulate, control and design new disruptive technologies for future sustainable cities and will provide specialized training to 10 doctoral candidates (DCs) to make these new technologies available to city Councils and relevant industrial sectors. MODELAIR contributes to EU Mission: Climate-neutral and smart cities, reducing gas emissions and offering cleaner air to citizens.
MODELAIR will develop an Artificial Intelligence (AI) – based tool to help make informed and sensible decisions to control air pollution in urban areas. For such aim, MODELAIR will develop novel analysis tools and new Reduced Order Models (ROMs) based on both non-intrusive sensing and innovative data sources.
MODELAIR will improve the current state-of-the-art modeling capability, taking into account the influence that buildings, roadways and other structures have on the flow and dispersion of air pollution. This will be acheived thanks to the assesment by the industry and city councils of:
The final aim is to obtain transferable outputs using novel tools and methodology approaches (addressing three different challenges) to improve air quality dispersion models that will serve to city councils and industry to develop new regulations to control air pollution.