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Modelling the dispersion and transport of reactive pollutants in a deep urban street canyon: using large-eddy simulation

Modelling the dispersion and transport of reactive pollutants in a deep urban street canyon: using large-eddy simulation

Zhong, Jian ORCID logoORCID: https://orcid.org/0000-0003-1026-8695, Cai, Xiaoming and Bloss, William James (2022) Modelling the dispersion and transport of reactive pollutants in a deep urban street canyon: using large-eddy simulation. In: 10th UFM meeting: High-resolution prediction for urban modelling and design applications, 1st -2nd September 2022, University of Reading (Met Office). (Unpublished)

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Abstract

This study investigates the dispersion and transport of reactive pollutants in a deep urban street canyon with an aspect ratio of 2 under neutral meteorological conditions using large-eddy simulation. The spatial variation of pollutants is significant due to the existence of two unsteady vortices. The deviation of species abundance from chemical equilibrium for the upper vortex is greater than that for the lower vortex. The interplay of dynamics and chemistry is investigated using two metrics: the photostationary state defect, and the inferred ozone production rate. The latter is found to be negative at all locations within the canyon, pointing to a systematic negative offset to ozone production rates inferred by analogous approaches in environments with incomplete mixing of emissions. This study demonstrates an approach to quantify parameters for a simplified two-box model, which could support traffic management and urban planning strategies and personal exposure assessment.

Item Type: Conference or Conference Paper (Poster)
Uncontrolled Keywords: urban street canyon, large-eddy simulation, pollutant removal, turbulence, two-box model
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: 30 Jan 2025 10:35
URI: http://gala.gre.ac.uk/id/eprint/49594

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