Zhong, Jian ORCID: https://orcid.org/0000-0003-1026-8695, Bloss, William J. and Harrison, Roy M. (2023) Street-scale resolution air quality modelling for the West Midlands, UK. In: The Joint 3rd Street-in-Grid and Urban Air Quality Modeling Symposium and the 4th Street-in-Grid Model Training Workshop, 6th - 10th March 2023, Champs-sur-Marne, France. (Unpublished)

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Abstract

Air pollution has become a substantial environmental risk for human health. In the UK, ambient air pollution causes 28–36,000 premature deaths each year, with associated economic cost of £20bn. The 2021 WHO global air quality guidelines reflected the fact that even exposure to lower levels of air pollutant can affect human health. Apart from traditional regulated air pollutants (such as NO2, PM2.5 and PM10), the pressing issue of ultrafine particles (UFPs which are tiny and respirable particles with diameters less than 100 nm) was also highlighted. There is a strong need to better predict local air quality, allowing better assessment for health. High resolution air quality models combining emissions, chemical processes, dispersion and dynamical treatments are necessary to develop effective policies for clean air in urban environments. This modelling study simulates the street-scale resolution air quality for the West Midlands (902 km2), UK using a local scale dispersion model (i.e. ADMS-Urban), as part of modelling work in the WM-Air (Clean Air Science for the West Midlands) and Ri-Urbans (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas) projects. This model uses a physics-based approach to capture the characteristics of the atmospheric boundary layer, and an advanced street canyon module to represent street canyon effects. It can represent the full range of source types (e.g. grid, point and road sources) occurring in an urban area at high resolution. This modelling was performed on the University of Birmingham’s supercomputer. The model was evaluated against local air quality measurement data with satisfactory agreement. High resolution air quality maps (at 10 m × 10 m resolution) over the West Midlands were generated. These local air quality maps can be then spatially aggregated to the population layer at ward levels for use in health-related research. This air quality modelling serves as a useful tool for the assessment of the impact of specific intervention scenarios on air quality and health within the region.

Item Type:	Conference or Conference Paper (Speech)
Uncontrolled Keywords:	street-scale resolution, air quality, UFP
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:	Organisation
Last Modified:	30 Jan 2025 12:25
URI:	http://gala.gre.ac.uk/id/eprint/49595

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