The airborne transmission of infection between flats in high-rise residential buildings: Particle simulation

Abstract Several case clusters occurred in high-rise residential buildings in Hong Kong in the 2003 SARS (the severe acute respiratory syndrome) epidemic, which motivated a series of engineering investigations into the possible airborne transport routes. It is suspected that, driven by buoyancy force, the polluted air that exits the window of the lower floor may re-enter the immediate upper floor through the window on the same side. This cascade effect has been quantified and reported in a previous paper, and it is found that, by tracer gas concentration analysis, the room in the adjacent upstairs may contain up to 7% of the air directly from the downstairs room. In this study, after validation against the experimental data from literatures, Eulerian and Lagrangian approaches are both adopted to numerically investigate the dispersion of expiratory aerosols between two vertically adjacent flats. It is found that the particle concentration in the upper floor is two to three orders of magnitude lower than in the source floor. 1.0μm particles disperse like gaseous pollutants. For coarse particles larger than 20.0μm, strong deposition on solid surfaces and gravitational settling effect greatly limit their upward transport.

[1]  F. Mashayek,et al.  Stochastic modeling of evaporating droplets polydispered in turbulent flows , 2004 .

[2]  Raymond Tellier,et al.  Transmission of influenza A in human beings. , 2007, The Lancet. Infectious diseases.

[3]  P. James,et al.  On the effect of anisotropy on the turbulent dispersion and deposition of small particles , 1999 .

[4]  W. Uijttewaal,et al.  Particle dispersion and deposition in direct numerical and large eddy simulations of vertical pipe flows , 1996 .

[5]  A. Hubbard,et al.  Toward Understanding the Risk of Secondary Airborne Infection: Emission of Respirable Pathogens , 2005, Journal of occupational and environmental hygiene.

[6]  Jianlei Niu,et al.  Modeling particle dispersion and deposition in indoor environments , 2007, Atmospheric Environment.

[7]  Alvin C.K. Lai,et al.  Modeling particle deposition and distribution in a chamber with a two-equation Reynolds-averaged Navier–Stokes model , 2006 .

[8]  Alvin C.K. Lai,et al.  Modeling Indoor Particle Deposition from Turbulent Flow onto Smooth Surfaces , 2000 .

[9]  S. Orszag,et al.  Renormalization group analysis of turbulence. I. Basic theory , 1986 .

[10]  W. Finlay,et al.  Improved numerical simulation of aerosol deposition in an idealized mouth-throat , 2004 .

[11]  Saffa Riffat,et al.  Modelling and measurement of airflow and aerosol particle distribution in a ventilated two-zone chamber , 1996 .

[12]  P. Heiselberg,et al.  The airborne transmission of infection between flats in high-rise residential buildings: Tracer gas simulation , 2007, Building and Environment.

[13]  J Niu,et al.  On-site quantification of re-entry ratio of ventilation exhausts in multi-family residential buildings and implications. , 2007, Indoor air.

[14]  Junjie Gu,et al.  Numerical simulation of aerosol deposition in a 3-D human nasal cavity using RANS, RANS/EIM, and LES , 2007 .

[15]  G. Ahmadi,et al.  Particle deposition in turbulent duct flows—comparisons of different model predictions , 2007 .

[16]  Y. Li,et al.  Role of air distribution in SARS transmission during the largest nosocomial outbreak in Hong Kong. , 2005, Indoor air.

[17]  Said Elghobashi,et al.  On predicting particle-laden turbulent flows , 1994 .

[18]  Y. Li,et al.  Multi-zone modeling of probable SARS virus transmission by airflow between flats in Block E, Amoy Gardens. , 2005, Indoor air.

[19]  E. Loth Numerical approaches for motion of dispersed particles, droplets and bubbles , 2000 .

[20]  M. L. Laucks,et al.  Aerosol Technology Properties, Behavior, and Measurement of Airborne Particles , 2000 .

[21]  F. Allard,et al.  Indoor particle pollution: effect of wall textures on particle deposition , 2000 .

[22]  Bin Zhao,et al.  Particle dispersion and deposition in ventilated rooms: Testing and evaluation of different Eulerian and Lagrangian models , 2008 .

[23]  J. Duguid,et al.  The size and the duration of air-carriage of respiratory droplets and droplet-nuclei , 1946, Epidemiology and Infection.

[24]  C. Chao,et al.  A study of the dispersion of expiratory aerosols in unidirectional downward and ceiling-return type airflows using a multiphase approach. , 2006, Indoor air.

[25]  Qingyan Chen,et al.  Comparison of the Eulerian and Lagrangian methods for predicting particle transport in enclosed spaces , 2007 .

[26]  Cover Sheet DROPLET FATE IN INDOOR ENVIRONMENTS , OR CAN WE PREVENT THE SPREAD OF INFECTION ? , 2007 .

[27]  Leslie M. Smith,et al.  Renormalization group analysis of turbulence , 2003 .

[28]  Yi Jiang,et al.  Using large eddy simulation to study particle motions in a room. , 2005, Indoor air.

[29]  Tze Wai Wong,et al.  Evidence of airborne transmission of the severe acute respiratory syndrome virus. , 2004, The New England journal of medicine.

[30]  A. Lai,et al.  Modeling particle distribution and deposition in indoor environments with a new drift–flux model , 2006 .

[31]  Kit Ming Lam,et al.  Recent progress in CFD modelling of wind field and pollutant transport in street canyons , 2006 .

[32]  Raymond Tellier,et al.  Review of Aerosol Transmission of Influenza A Virus , 2006, Emerging infectious diseases.

[33]  Bin Zhao,et al.  Modeling particle dispersion in personalized ventilated room , 2007 .