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PMID: 35692900 Published · ppublish English Journal Article

Influence of indoor airflow on particle spread of a single breath and cough in enclosures: Does opening a window really 'help'?

Atmospheric pollution research ·Vol. 13 ·No. 7 ·2022-07-00 ·页码 101473

van Beest MRRS, Arpino F, Hlinka O, Sauret E, van Beest NRTP, Humphries RS, Buonanno G, Morawska L, Governatori G, Motta N

Abstract

The spread of respiratory diseases via aerosol particles in indoor settings is of significant concern. The SARS-CoV-2 virus has been found to spread widely in confined enclosures like hotels, hospitals, cruise ships, prisons, and churches. Particles exhaled from a person indoors can remain suspended long enough for increasing the opportunity for particles to spread spatially. Careful consideration of the ventilation system is essential to minimise the spread of particles containing infectious pathogens. Previous studies have shown that indoor airflow induced by opened windows would minimise the spread of particles. However, how outdoor airflow through an open window influences the indoor airflow has not been considered. The aim of this study is to provide a clear understanding of the indoor particle spread across multiple rooms, in a situation similar to what is found in quarantine hotels and cruise ships, using a combination of HVAC (Heating, Ventilation and Air-Conditioning) ventilation and an opening window. Using a previously validated mathematical model, we used 3D CFD (computational fluid dynamics) simulations to investigate to what extent different indoor airflow scenarios contribute to the transport of a single injection of particles ( 1 . 3 μ m ) in a basic 3D multi-room indoor environment. Although this study is limited to short times, we demonstrate that in certain conditions approximately 80% of the particles move from one room to the corridor and over 60% move to the nearby room within 5 to 15 s. Our results provide additional information to help identifying relevant recommendations to limit particles from spreading in enclosures.

Keywords
COVID-19 Computational Fluid Dynamics (CFD) Indoor airflow Particles
作者与单位
共 10 位作者,点击展开单位 / ORCID
van Beest M R R S
School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia. | Software Systems Group, CSIRO | DATA61, Brisbane, Queensland, Australia.
Arpino F
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
Hlinka O
Information Management & Technology (IM&T), CSIRO, Pullenvale, Queensland, Australia.
Sauret E
School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia.
van Beest N R T P
Software Systems Group, CSIRO | DATA61, Brisbane, Queensland, Australia.
Humphries R S
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia.
Buonanno G
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
Morawska L
School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia.
Governatori G
Software Systems Group, CSIRO | DATA61, Brisbane, Queensland, Australia.
Motta N
School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.
Article Info
Journal
Atmospheric pollution research
Abbr.
Atmos Pollut Res
ISSN
1309-1042
Published
2022-07-00
电子出版
2022-00-06
页码
101473
Language
English
Country/Region
Turkey
NLM ID
101554506
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