Zhong, Jian ORCID: https://orcid.org/0000-0003-1026-8695, Li, Yinghua, Bloss, William James and Harrison, Roy M. (2025) Street-scale black carbon modelling over the West Midlands, United Kingdom: sensitivity test of traffic emission factor adjustments. Environment International, 196:109265. ISSN 0160-4120 (Print), 1873-6750 (Online) (doi:10.1016/j.envint.2025.109265)

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Abstract

Black carbon is harmful for climate, environment, and human health. Road traffic is one of the major sources for black carbon in urban areas. This study develops a street scale air quality model configuration for the dispersion of black carbon concentrations across the West Midlands, UK, incorporating updated road traffic emission factors. A range of modelling cases accounting for traffic emission factor adjustments was conducted and evaluated against measurements at three monitoring sites within the region. The model overall has good performance. With unadjusted traffic emission factors, the model can capture black carbon annual concentrations at urban background sites. However, an adjustment (factor of 3) for the traffic emission factors is needed to better represent the roadside site (although with a slight overestimation of 3 % in annual concentration). There are near-linear relationships between black carbon concentrations and the adjustment ratio for the traffic emission factor. Black carbon concentration maps have been generated at 10 m × 10 m resolution, which were then aggregated into health-related electoral ward and local authority levels.

Item Type:	Article
Uncontrolled Keywords:	black carbon, air quality modelling, traffic emission factors, ADMS-urban
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)
Last Modified:	28 Jan 2025 15:31
URI:	http://gala.gre.ac.uk/id/eprint/49589

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