Modelling Air Quality Impacts from Policy Interventions

Air quality models are the key tool to predict air quality and many tools are currently available, operating at scales from street canyon to global and are operated by regulatory and other agencies. 

WM-Air will produce a new model implementation building upon established model approaches to enable rapid horizon scanning of future scenarios, through the generation of pollution multipliers.  The WM-Air model will also enable this to be reversed, to assess the scale of an individual intervention required to deliver a given air quality outcome. This will allow detailed assessment of specific scenarios and interventions. 

The new tools will model air quality across the region under a range of policy intervention scenarios.

Development of a new Air Quality Horizon Scanning Tool (AQHST)

University Lead

Dr Xiaoming Cai

  • Senior Lecturer, School of Geography, Earth and Environmental Sciences

UoB Profile