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Research Article | Open Access

Possible high COVID-19 airborne infection risk in deep and poorly ventilated 2D street canyons

Vitor Lavor1Omduth Coceal2Sue Grimmond2Jian Hang3Zhiwen Luo4( )
School of the Built Environment, University of Reading, Reading, UK
Department of Meteorology, University of Reading, Reading, UK
School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, China
Welsh School of Architecture, Cardiff University, Cardiff, UK
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Abstract

Despite the widespread assumption that outdoor environments provide sufficient ventilation and dilution capacity to mitigate the risk of COVID-19 infection, there is little understanding of airborne infection risk in outdoor urban areas with poor ventilation. To address this gap, we propose a modified Wells-Riley model based on the purging flow rate (QPFR), by using computational fluid dynamics (CFD) simulations. The model quantifies the outdoor risk in 2D street canyons with different approaching wind speeds, urban heating patterns and aspect ratios (building height to street width). We show that urban morphology plays a critical role in controlling airborne infectious disease transmission in outdoor environments, especially under calm winds; with deep street canyons (aspect ratio > 3) having a similar infection risk as typical indoor environments. While ground and leeward wall heating could reduce the risk, windward heating (e.g., windward wall ~10 K warmer than the ambient air) can increase the infection risk by up to 75%. Our research highlights the importance of considering outdoor infection risk and the critical role of urban morphology in mitigating airborne infection risk. By identifying and addressing these risks, we can inform measures that may enhance public health and safety, particularly in densely populated urban environments.

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Building Simulation
Pages 1617-1628

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Cite this article:
Lavor V, Coceal O, Grimmond S, et al. Possible high COVID-19 airborne infection risk in deep and poorly ventilated 2D street canyons. Building Simulation, 2023, 16(9): 1617-1628. https://doi.org/10.1007/s12273-023-1037-x

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Received: 03 January 2023
Revised: 22 March 2023
Accepted: 29 April 2023
Published: 01 August 2023
© The Author(s) 2023

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