The transport of gaseous pollutants due to stack and wind effect in high-rise residential buildings

Abstract Several outbreaks of severe infectious diseases occurred recently in high-rise residential (HRR) buildings have motivated a series of engineering investigations into possible airborne transmission routes. It is suspected that, driven by stack and/or wind effect, the polluted air may transport between flats through leakage cracks of doors and windows inside HRR buildings. The pure stack effect has been quantitatively studied and reported in a previous paper. This study further investigates the temporal and spatial distribution of gaseous pollutants due to combined stack and wind effect in an HRR building in Shanghai (China) with doors and windows closed. A well-established multi-zone (CONTAM) model, based on reliable boundary conditions from CFD simulations, is used to analyze the airflow movements and pollutant transport between flats via door and window leakage cracks under different scenarios. It is found that the combined stack and wind effect can cause the pollutant spread in both vertical and horizontal directions. In general, the concentrations in the top rooms are about 3–4 orders of magnitude lower than in the source room in a 33-floor building, and the concentrations on the leeward side are mainly higher than on the windward side before steady state. The effects of the outdoor/indoor temperature difference, wind field, air tightness level and source location are quite complicated due to the interaction between physical forces and the building shape. Despite the complexities, these findings have many implications that cannot be overlooked for the infectious disease control and ventilation design in HRR buildings.

[1]  G Murphy,et al.  Airborne spread of measles in a suburban elementary school. , 1978, American journal of epidemiology.

[2]  Z T Ai,et al.  Numerical investigation of wind-induced airflow and interunit dispersion characteristics in multistory residential buildings. , 2013, Indoor air.

[3]  P V Nielsen,et al.  Role of ventilation in airborne transmission of infectious agents in the built environment - a multidisciplinary systematic review. , 2007, Indoor air.

[4]  C. Beggs,et al.  The Airborne Transmission of Infection in Hospital Buildings: Fact or Fiction? , 2003 .

[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]  D. Etheridge Natural Ventilation of Buildings Theory Measurement and Design , 2011 .

[7]  D. Wilson,et al.  Evaluating models for superposition of wind and stack effect in air infiltration , 1993 .

[8]  Michael Gardam,et al.  Transmission of influenza A in human beings. , 2007, The Lancet. Infectious diseases.

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

[10]  Maatouk Khoukhi,et al.  Stack Pressure and Airflow Movement in High and Medium Rise buildings , 2011 .

[11]  Weeratunge Malalasekera,et al.  An introduction to computational fluid dynamics - the finite volume method , 2007 .

[12]  Kenny C. S Kwok,et al.  Analysis of concentration fluctuations in gas dispersion around high-rise building for different incident wind directions , 2011, Journal of Hazardous Materials.

[13]  Piotr Łapka,et al.  Numerical modelling and experimental studies of thermal behaviour of building integrated thermal energy storage unit in a form of a ceiling panel , 2014 .

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

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

[16]  Qingyan Chen,et al.  Natural Ventilation in Buildings: Measurement in a Wind Tunnel and Numerical Simulation with Large Eddy Simulation , 2003 .

[17]  J. E. Lovatt,et al.  Stack effect in tall buildings , 1994 .

[18]  Fariborz Haghighat,et al.  A Comprehensive Validation of Two Airflow Models — COMIS and CONTAM , 1996 .

[19]  Shuzo Murakami,et al.  Overview of turbulence models applied in CWE–1997 , 1998 .

[20]  D. Hui,et al.  Clinical Management of Pandemic 2009 Influenza A(H1N1) Infection , 2010, Chest.

[21]  Magnus K. Herrlin,et al.  Air-flow studies in multizone buildings : models and applications , 1992 .

[22]  Wan Ki Chow,et al.  Scale modeling studies on stack effect in tall vertical shafts , 2011 .

[23]  Jinkyun Cho,et al.  The predictions of infection risk of indoor airborne transmission of diseases in high-rise hospitals: Tracer gas simulation , 2010 .

[24]  SJ Emmerich,et al.  Validation of multizone IAQ model predictions for tracer gas in a townhouse , 2004 .

[25]  Myoung-Souk Yeo,et al.  Characteristics of pressure distribution and solution to the problems caused by stack effect in high-rise residential buildings , 2007 .

[26]  Leon R. Glicksman,et al.  Design analysis of single-sided natural ventilation , 2003 .

[27]  Tiejun Wang,et al.  Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns. , 2009, Geospatial health.

[28]  J. Niu,et al.  Investigation of indoor air pollutant dispersion and cross-contamination around a typical high-rise residential building : wind tunnel tests , 2010 .

[29]  S F Bloomfield,et al.  Spread and prevention of some common viral infections in community facilities and domestic homes , 2001, Journal of applied microbiology.

[30]  Shuo Su,et al.  MERS in South Korea and China: a potential outbreak threat? , 2015, The Lancet.

[31]  J. H. Wang,et al.  Local characteristics of cross-unit contamination around high-rise building due to wind effect: mean concentration and infection risk assessment. , 2011, Journal of hazardous materials.

[32]  W. H. Engelmann,et al.  The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants , 2001, Journal of Exposure Analysis and Environmental Epidemiology.

[33]  Doosam Song,et al.  A study on the development and application of the E/V shaft cooling system to reduce stack effect in high-rise buildings , 2010 .

[34]  Siuming Lo,et al.  Influence of staircase ventilation state on the airflow and heat transfer of the heated room on the middle floor of high rise building , 2014 .

[35]  I. Eames,et al.  Factors involved in the aerosol transmission of infection and control of ventilation in healthcare premises , 2006, Journal of Hospital Infection.

[36]  Jie Ji,et al.  Experimental investigation on the rising characteristics of the fire-induced buoyant plume in stairwells , 2013 .

[37]  S. Patankar Numerical Heat Transfer and Fluid Flow , 2018, Lecture Notes in Mechanical Engineering.

[38]  L. Wallace,et al.  Continuous measurements of air change rates in an occupied house for 1 year: The effect of temperature, wind, fans, and windows* , 2002, Journal of Exposure Analysis and Environmental Epidemiology.

[39]  Peter V. Nielsen,et al.  Dispersion of exhalation pollutants in a two-bed hospital ward with a downward ventilation system , 2008 .

[40]  R. C. Diamond,et al.  Improving Diagnostics and Energy Analysis for Multifamily Buildings: A Case Study , 1986 .

[41]  Markus Rösler,et al.  Calculation of wind-driven cross ventilation in buildings with large openings , 2006 .

[42]  Jinkyun Cho,et al.  Predictions and measurements of the stack effect on indoor airborne virus transmission in a high-rise hospital building , 2011, Building and Environment.

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

[44]  Jie Ji,et al.  Experimental investigation on the characteristics of buoyant plume movement in a stairwell with multiple openings , 2014 .

[45]  Frank P. Incropera,et al.  Fundamentals of Heat and Mass Transfer , 1981 .

[46]  Jon A. Peterka,et al.  AVERAGED PRESSURE COEFFICIENTS FOR RECTANGULAR BUILDINGS , 1980 .

[47]  Siuming Lo,et al.  Experimental study on influence of stack effect on fire in the compartment adjacent to stairwell of high rise building , 2014 .

[48]  Refrigerating ASHRAE handbook and product directory /published by the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc , 1977 .

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

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

[51]  S K Hammond,et al.  Secondhand smoke transfer and reductions by air sealing and ventilation in multiunit buildings: PFT and nicotine verification. , 2011, Indoor air.

[52]  J. Axley Multi-zone dispersal analysis by element assembly , 1989 .

[53]  Refrigerating ASHRAE handbook of fundamentals , 1967 .

[54]  Hiroshi Yoshino,et al.  The effect of the wind speed velocity on the stack pressure in medium-rise buildings in cold region of China , 2007 .

[55]  S. Mossad,et al.  The First Pandemic of the 21st Century: Review of the 2009 Pandemic Variant Influenza A (H1N1) Virus , 2009, Postgraduate medicine.

[56]  Qingyan Chen,et al.  Buoyancy-driven single-sided natural ventilation in buildings with large openings , 2003 .

[57]  Kimberly M Thompson,et al.  Estimation of Tuberculosis Risk on a Commercial Airliner , 2004, Risk analysis : an official publication of the Society for Risk Analysis.