Project description
Climate change-resilient strategies for urban healthy atmosphere
Climate change poses a significant challenge for decision-makers addressing atmospheric heat and air quality in urban design. The EU-funded UrbanAIR project aims to create a digital twin to support urban decision-makers in improving the health and socio-economic well-being of citizens impacted by climate change. Through innovative urban design and planning, the project will provide essential tools for climate adaptation and hazard management, using detailed models of the urban atmosphere. By focusing on end user needs and engaging in co-creation, UrbanAIR seeks to develop a dynamic, user-friendly infrastructure integrated with the Destination Earth framework, empowering municipalities and industries to effectively address urban climate risks.
Objective
The goal of UrbanAIR is to develop a new digital twin that supports decision-makers in urban areas to deal with urban design dilemmas in atmospheric heat and air quality to maximise the health and socio-economic well-being of its citizens affected by climate change. It will provide critical tools for climate adaptation and hazard control through urban design and planning, including very high-resolution model components of the urban atmosphere. UrbanAIR is designed by a consortium that covers the full value chain to revolutionize digital twin platforms by starting from the perspective of the end user. Through co-creation with the end users and a balanced evaluation of the decision criteria, the overall objective of UrbanAIR is to yield a dynamic, user-friendly infrastructure integrated into the Destination Earth infrastructure that empowers municipalities and industries to face urgent urban climate risks.
The scales in the atmospheric models in UrbanAIR cover the full range from the regional to the neighbourhood level. This innovative multiscale approach is achieved through the development of software interfaces for the modular coupling of atmospheric models. AI-based emulators allow for the acceleration of these computationally expensive models, which, together with the application of advanced data assimilation techniques, allows the quantification of risks and uncertainties for the UrbanAIR scenarios. Corresponding behavioural models simulate the human response to changes in climate and associated hazards. The resulting scenarios form the input to the objective evaluation of the criteria for decision-making. With these science-based tools for scenario simulation of natural and human behaviour, reliable risk assessment, and balanced decision analysis, UrbanAIR will develop tools and the infrastructure to support decision-makers in cities. This will pave the way for effective climate adaptation by developing tools for a safer, healthier, and more resilient future.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- engineering and technologyenvironmental engineeringecosystem-based managementclimate change adaptation
- engineering and technologyenvironmental engineeringair pollution engineering
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
You need to log in or register to use this function
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
2628 CN Delft
Netherlands