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.
    @conference{27097c6ce93d4bbfb03358133180f52c,
    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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    author = "Ian Hall and Ilpo Kulmala and Heikki Parviainen",
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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.