MODELAIR · Groundbreaking tools and models to reduce air pollution in urban areas

Groundbreaking tools and models to reduce air pollution in urban areas

Urban air pollution poses a significant threat to public health and the environment, with the majority of Europe's urban population exposed to pollutant levels exceeding the World Health Organization's guidelines. Human activities, particularly in densely populated cities, are primary contributors to this issue. Addressing urban air pollution is crucial for achieving the European Union's mission of creating climate-neutral and smart cities, thereby reducing greenhouse gas emissions and providing cleaner air for citizens. In response to this pressing challenge, the MODELAIR project aims to develop an Artificial Intelligence (AI)-based tool designed to facilitate informed and effective decision-making for controlling air pollution in urban environments. This initiative integrates theoretical, experimental, numerical, and data-driven approaches to simulate, control, and design innovative technologies tailored for sustainable urban development. A key component of MODELAIR is the specialized training of 12 doctoral candidates, equipping them with the expertise to implement these advanced technologies within city councils and relevant industrial sectors. The project's pathway to impact involves close collaboration with city councils and industries in cities such as Bristol, Brussels, and Madrid. By enhancing current modeling capabilities, MODELAIR will account for the effects of urban infrastructures—like buildings and roadways—on the flow and dispersion of air pollutants. The AI-based tool's effectiveness will be evaluated through three specific applications: i. Analyzing Urban Topology's Impact on Air Pollution: Investigating how different urban layouts influence pollutant dispersion to inform city planning and pollution mitigation strategies. ii. Developing a Real-Time Decision-Making Tool for Brussels' Ixelles District: Creating a system to optimize the placement and maintenance of air quality sensors, ensuring high-quality monitoring and rapid response capabilities. iii. Optimizing Traffic Routes to Minimize Emissions: Studying emission sources to devise traffic management plans that reduce pollution levels. By producing transferable outputs and employing novel methodologies, MODELAIR aims to significantly improve air quality dispersion models. These advancements will empower city councils and industries to develop and implement effective strategies to combat urban air pollution, thereby contributing to the broader goal of sustainable and healthy urban living environments. While the primary focus of MODELAIR is on technological and scientific innovation, the integration of social sciences and humanities is essential for understanding the societal implications and ensuring the successful adoption of these new technologies. Engaging with local communities, policymakers, and other stakeholders will facilitate the development of solutions that are not only technically effective but also socially acceptable and aligned with public needs and values.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз