Literature DB >> 34567435

Quantitative distribution of human exhaled particles in a ventilation room.

Zhijian Liu1, Hangyao Zhu1, Yangfan Song1, Guoqing Cao2.   

Abstract

Respiratory viruses can be attached to human exhaled particles and spread from person to person through respiratory activities. The purpose of this study is to obtain the quantitative description formula of human exhaled particles in the ventilated room through amount number of numerical simulation calculations and regression statistical analysis of the simulated data. In this study, a combination of numerical simulation and laboratory experiments was used, and the results were tallied preferably. Bacillus subtilis was released as a release source to investigate the migration and distribution of bioaerosol. The results show that under the condition of high air supply velocity, due to the disturbance of human respiration and airflow, the diffusion velocity of exhaled particles was faster and the diffusion range is larger than that of low air supply velocity within the same time frame. No matter where the location of the manikin was in the room, the exhaled particles would spread to the whole room in at least 900 s. The method used in this study could be used to predict the distribution of human exhaled particles concentration in different indoor spaces, such as public transport and hospitals. These findings could provide valuable reference for the location of indoor air purifiers, which plays a guiding role in the construction of a healthy indoor environment. © Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Entities:  

Keywords:  CFD predictions; bioaerosol release experiment; droplet aerosols; particulate concentrations

Year:  2021        PMID: 34567435      PMCID: PMC8450698          DOI: 10.1007/s12273-021-0836-1

Source DB:  PubMed          Journal:  Build Simul        ISSN: 1996-3599            Impact factor:   4.008


  14 in total

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2.  Some questions on dispersion of human exhaled droplets in ventilation room: answers from numerical investigation.

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Journal:  Indoor Air       Date:  2009-09-24       Impact factor: 5.770

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Journal:  Indoor Air       Date:  2020-09-25       Impact factor: 5.770

4.  How far droplets can move in indoor environments--revisiting the Wells evaporation-falling curve.

Authors:  X Xie; Y Li; A T Y Chwang; P L Ho; W H Seto
Journal:  Indoor Air       Date:  2007-06       Impact factor: 5.770

5.  Viable influenza A virus in airborne particles from human coughs.

Authors:  William G Lindsley; John D Noti; Francoise M Blachere; Robert E Thewlis; Stephen B Martin; Sreekumar Othumpangat; Bahar Noorbakhsh; William T Goldsmith; Abhishek Vishnu; Jan E Palmer; Karen E Clark; Donald H Beezhold
Journal:  J Occup Environ Hyg       Date:  2015       Impact factor: 2.155

6.  Viable SARS-CoV-2 in the air of a hospital room with COVID-19 patients.

Authors:  John A Lednicky; Michael Lauzardo; Z Hugh Fan; Antarpreet Jutla; Trevor B Tilly; Mayank Gangwar; Moiz Usmani; Sripriya Nannu Shankar; Karim Mohamed; Arantza Eiguren-Fernandez; Caroline J Stephenson; Md Mahbubul Alam; Maha A Elbadry; Julia C Loeb; Kuttichantran Subramaniam; Thomas B Waltzek; Kartikeya Cherabuddi; J Glenn Morris; Chang-Yu Wu
Journal:  Int J Infect Dis       Date:  2020-09-16       Impact factor: 3.623

7.  On airborne transmission and control of SARS-Cov-2.

Authors:  Maosheng Yao; Lu Zhang; Jianxin Ma; Lian Zhou
Journal:  Sci Total Environ       Date:  2020-05-04       Impact factor: 7.963

8.  Characterization of expiration air jets and droplet size distributions immediately at the mouth opening.

Authors:  C Y H Chao; M P Wan; L Morawska; G R Johnson; Z D Ristovski; M Hargreaves; K Mengersen; S Corbett; Y Li; X Xie; D Katoshevski
Journal:  J Aerosol Sci       Date:  2008-11-07       Impact factor: 3.433

9.  Evaluation of airborne disease infection risks in an airliner cabin using the Lagrangian-based Wells-Riley approach.

Authors:  Yihuan Yan; Xiangdong Li; Yidan Shang; Jiyuan Tu
Journal:  Build Environ       Date:  2017-05-10       Impact factor: 6.456

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  2 in total

1.  Robustness of ventilation systems in the control of walking-induced indoor fluctuations: Method development and case study.

Authors:  Jianlin Ren; Junjie He; Xiangfei Kong; Hongwan Li
Journal:  Build Simul       Date:  2022-02-18       Impact factor: 4.008

2.  Quantification of how mechanical ventilation influences the airborne infection risk of COVID-19 and HVAC energy consumption in office buildings.

Authors:  Zhihong Pang; Xing Lu; Zheng O'Neill
Journal:  Build Simul       Date:  2022-10-03       Impact factor: 4.008

  2 in total

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