SOURCE-LINKED INTELLIGENCE

Virtual Integration for Sustainable and Innovative Observation of Urban Air Quality

CORDIS · observation · Publication date unknown

NAIR integrates advanced monitoring technologies (low-cost sensors, remote sensing, drones, citizen science, laboratory analytics) harmonized into interoperable data platforms (WP2) as well as AI and machine learning models for real-time mapping, source apportionment, and health impact assessment (WP3). Urban demo case studies in four European cities will be performed deploying digital twins and decision-support systems for operational validation (WP4). IMPACT: Communication, dissemination and exploitation in the short and long term (WP5) will ensure implementation of innovative governance models for decision-making processes, societal engagement and innovation for environmental monitoring. Air pollution monitoring; Remote sensing; Low-cost sensors; Health impact assessment; High-resolution air quality maps; Exposure-health links; Citizen science

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recordType

award

status

SIGNED

region

EU

value

7705663.75

unit

EUR