A simple model to predict bioaerosol dispersion in transport hubs

Ian Hall, Ilpo Kulmala, Heikki Parviainen

Research output: Contribution to conferenceConference articleScientific

Abstract

Exposure to infectious bioaerosols (say in a mass transport environment) may be a health hazard to passengers and staff during pandemics or other high threat pathogen incidents. To determine the human inhalation exposure risk to airborne pathogens, it is important to estimate the airborne bioaerosol concentration near the emission source as a function of position and time. Bioaerosol dispersion indoors is a complex phenomenon which is affected by the air flows as well as the source characteristics. To calculate the bioaerosol concentrations following a short-term release an analytical model presented by Drivas et al. was used. The model takes into consideration point-source dispersion and the general concentration decay due to ventilation and particle settling. One key parameter in the model is turbulent diffusivity which is not very well known but affects crucially the calculated dispersion. Comparison of the model with experiments conducted in a large space showed that the model worked reasonably well, provided that the model parameters are correctly set. The analytical model offers a relatively simple method to estimate the inhalation exposure and thus risk for infection more accurately in indoor spaces and may be extended to incorporate surface deposition of aerosol particles.
Original languageEnglish
Number of pages3
Publication statusPublished - 2017
EventBioaerosols, Focus Meeting 10 - Bristol, United Kingdom
Duration: 8 Jun 2017 → …

Workshop

WorkshopBioaerosols, Focus Meeting 10
CountryUnited Kingdom
CityBristol
Period8/06/17 → …

Fingerprint

pathogen
particle settling
mass transport
diffusivity
airflow
ventilation
point source
aerosol
experiment
exposure
parameter
health hazard
infection
comparison
method
emission source
risk exposure

Keywords

  • bioaerosols
  • infection
  • disease spread
  • modelling

Cite this

Hall, I., Kulmala, I., & Parviainen, H. (2017). A simple model to predict bioaerosol dispersion in transport hubs. Paper presented at Bioaerosols, Focus Meeting 10, Bristol, United Kingdom.
Hall, Ian ; Kulmala, Ilpo ; Parviainen, Heikki. / A simple model to predict bioaerosol dispersion in transport hubs. Paper presented at Bioaerosols, Focus Meeting 10, Bristol, United Kingdom.3 p.
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title = "A simple model to predict bioaerosol dispersion in transport hubs",
abstract = "Exposure to infectious bioaerosols (say in a mass transport environment) may be a health hazard to passengers and staff during pandemics or other high threat pathogen incidents. To determine the human inhalation exposure risk to airborne pathogens, it is important to estimate the airborne bioaerosol concentration near the emission source as a function of position and time. Bioaerosol dispersion indoors is a complex phenomenon which is affected by the air flows as well as the source characteristics. To calculate the bioaerosol concentrations following a short-term release an analytical model presented by Drivas et al. was used. The model takes into consideration point-source dispersion and the general concentration decay due to ventilation and particle settling. One key parameter in the model is turbulent diffusivity which is not very well known but affects crucially the calculated dispersion. Comparison of the model with experiments conducted in a large space showed that the model worked reasonably well, provided that the model parameters are correctly set. The analytical model offers a relatively simple method to estimate the inhalation exposure and thus risk for infection more accurately in indoor spaces and may be extended to incorporate surface deposition of aerosol particles.",
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Hall, I, Kulmala, I & Parviainen, H 2017, 'A simple model to predict bioaerosol dispersion in transport hubs' Paper presented at Bioaerosols, Focus Meeting 10, Bristol, United Kingdom, 8/06/17, .

A simple model to predict bioaerosol dispersion in transport hubs. / Hall, Ian; Kulmala, Ilpo; Parviainen, Heikki.

2017. Paper presented at Bioaerosols, Focus Meeting 10, Bristol, United Kingdom.

Research output: Contribution to conferenceConference articleScientific

TY - CONF

T1 - A simple model to predict bioaerosol dispersion in transport hubs

AU - Hall, Ian

AU - Kulmala, Ilpo

AU - Parviainen, Heikki

PY - 2017

Y1 - 2017

N2 - Exposure to infectious bioaerosols (say in a mass transport environment) may be a health hazard to passengers and staff during pandemics or other high threat pathogen incidents. To determine the human inhalation exposure risk to airborne pathogens, it is important to estimate the airborne bioaerosol concentration near the emission source as a function of position and time. Bioaerosol dispersion indoors is a complex phenomenon which is affected by the air flows as well as the source characteristics. To calculate the bioaerosol concentrations following a short-term release an analytical model presented by Drivas et al. was used. The model takes into consideration point-source dispersion and the general concentration decay due to ventilation and particle settling. One key parameter in the model is turbulent diffusivity which is not very well known but affects crucially the calculated dispersion. Comparison of the model with experiments conducted in a large space showed that the model worked reasonably well, provided that the model parameters are correctly set. The analytical model offers a relatively simple method to estimate the inhalation exposure and thus risk for infection more accurately in indoor spaces and may be extended to incorporate surface deposition of aerosol particles.

AB - Exposure to infectious bioaerosols (say in a mass transport environment) may be a health hazard to passengers and staff during pandemics or other high threat pathogen incidents. To determine the human inhalation exposure risk to airborne pathogens, it is important to estimate the airborne bioaerosol concentration near the emission source as a function of position and time. Bioaerosol dispersion indoors is a complex phenomenon which is affected by the air flows as well as the source characteristics. To calculate the bioaerosol concentrations following a short-term release an analytical model presented by Drivas et al. was used. The model takes into consideration point-source dispersion and the general concentration decay due to ventilation and particle settling. One key parameter in the model is turbulent diffusivity which is not very well known but affects crucially the calculated dispersion. Comparison of the model with experiments conducted in a large space showed that the model worked reasonably well, provided that the model parameters are correctly set. The analytical model offers a relatively simple method to estimate the inhalation exposure and thus risk for infection more accurately in indoor spaces and may be extended to incorporate surface deposition of aerosol particles.

KW - bioaerosols

KW - infection

KW - disease spread

KW - modelling

M3 - Conference article

ER -

Hall I, Kulmala I, Parviainen H. A simple model to predict bioaerosol dispersion in transport hubs. 2017. Paper presented at Bioaerosols, Focus Meeting 10, Bristol, United Kingdom.