Modelling the neighbourhood-scale dispersion of traffic-induced ultrafine particles
Zhong, Jian ORCID: https://orcid.org/0000-0003-1026-8695 (2020) Modelling the neighbourhood-scale dispersion of traffic-induced ultrafine particles. In: UK-US Collaboration on Air-Quality Modelling & Exposure Science: Workshop, 16th – 17th November 2020, Online. (Unpublished)
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Abstract
Traffic-generated ultrafine particles (UFPs) in the urban atmosphere have a high proportion of their composition comprised of semi-volatile compounds (SVOCs). The evaporation/condensation processes of these SVOCs can alter UFP number size distributions and play an important role in determining the fate of UFPs in urban areas. The neighbourhood-scale dispersion (over distances < 1 km) and evolution of traffic-generated UFPs for a real-world street network in central London was simulated by using the WRF-LES model (the large eddy simulation mode of the Weather Research and Forecasting modelling system) coupled with multicomponent microphysics. The neighbourhood scale dispersion of UFPs was significantly influenced by the spatial pattern of the real-world street emissions. Model output indicated the shrinkage of the peak diameter from the emitted profile to the downwind profile, due to an evaporation process during neighbourhood-scale dispersion. The dilution process and the aerosol microphysics interact with each other during the neighbourhood dispersion of UFPs, yielding model output that compares well with measurements made at a location downwind of an intense roadside source.
Item Type: | Conference or Conference Paper (Paper) |
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Uncontrolled Keywords: | Urban air quality; Multicomponent microphysics; Dispersion |
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: | 21 Jan 2025 10:56 |
URI: | http://gala.gre.ac.uk/id/eprint/49483 |
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