Simulation and analysis of airborne cross-contamination routes due to the operation of building drainage and vent systems

J. A. Swaffield, L. B. Jack

    Research output: Contribution to journalArticle

    Abstract

    Recent concerns about the role of the drainage and vent systems installed in high-rise and other buildings in the possible spread of airborne contamination have highlighted the need for simulations capable of predicting system response when subject to multiple and random events. Such simulations would allow designers to predict the possible contamination routes established as a result of failures of the system, e.g. trap seal loss and/or the influence of dried-out traps. In addition, the simulations proposed would provide diagnostic tools in the event of cross-contamination. Mathematical solutions are used to simulate the system unsteady water and entrained airflows, and the application of these simulations to predict likely contamination routes. The AIRNET simulation is employed to represent the unsteady air and water down-flow conditions in the network, the associated propagation of air pressure transients and trap response. The simulation can provide a design and standards development tool as well as a forensic and diagnostic tool for the investigation of suspected cross-contamination. The simulations confirm that cross-contamination routes result from normal operation and random failure conditions, including system surcharge and trap depletion due to, for example, poor maintenance. It suggests that simulation predictions have an important role in ascertaining potential hazards, as well as a forensic role.

    Original languageEnglish
    Pages (from-to)451-467
    Number of pages17
    JournalBuilding Research and Information
    Volume32
    Issue number6
    DOIs
    Publication statusPublished - Nov 2004

    Fingerprint

    drainage
    simulation
    analysis
    contamination
    atmospheric pressure
    airflow
    hazard
    water
    air
    prediction

    Keywords

    • Airborne contamination
    • Building operation
    • Disease vectors
    • Drainage design
    • Drainage systems
    • Modelling infection
    • Public health
    • Water seals
    • Water traps

    Cite this

    @article{bbeea27e1f4b4019a8afedc1d410a40d,
    title = "Simulation and analysis of airborne cross-contamination routes due to the operation of building drainage and vent systems",
    abstract = "Recent concerns about the role of the drainage and vent systems installed in high-rise and other buildings in the possible spread of airborne contamination have highlighted the need for simulations capable of predicting system response when subject to multiple and random events. Such simulations would allow designers to predict the possible contamination routes established as a result of failures of the system, e.g. trap seal loss and/or the influence of dried-out traps. In addition, the simulations proposed would provide diagnostic tools in the event of cross-contamination. Mathematical solutions are used to simulate the system unsteady water and entrained airflows, and the application of these simulations to predict likely contamination routes. The AIRNET simulation is employed to represent the unsteady air and water down-flow conditions in the network, the associated propagation of air pressure transients and trap response. The simulation can provide a design and standards development tool as well as a forensic and diagnostic tool for the investigation of suspected cross-contamination. The simulations confirm that cross-contamination routes result from normal operation and random failure conditions, including system surcharge and trap depletion due to, for example, poor maintenance. It suggests that simulation predictions have an important role in ascertaining potential hazards, as well as a forensic role.",
    keywords = "Airborne contamination, Building operation, Disease vectors, Drainage design, Drainage systems, Modelling infection, Public health, Water seals, Water traps",
    author = "Swaffield, {J. A.} and Jack, {L. B.}",
    year = "2004",
    month = "11",
    doi = "10.1080/0961321042000259178",
    language = "English",
    volume = "32",
    pages = "451--467",
    journal = "Building Research and Information",
    issn = "0961-3218",
    publisher = "Routledge",
    number = "6",

    }

    Simulation and analysis of airborne cross-contamination routes due to the operation of building drainage and vent systems. / Swaffield, J. A.; Jack, L. B.

    In: Building Research and Information, Vol. 32, No. 6, 11.2004, p. 451-467.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Simulation and analysis of airborne cross-contamination routes due to the operation of building drainage and vent systems

    AU - Swaffield, J. A.

    AU - Jack, L. B.

    PY - 2004/11

    Y1 - 2004/11

    N2 - Recent concerns about the role of the drainage and vent systems installed in high-rise and other buildings in the possible spread of airborne contamination have highlighted the need for simulations capable of predicting system response when subject to multiple and random events. Such simulations would allow designers to predict the possible contamination routes established as a result of failures of the system, e.g. trap seal loss and/or the influence of dried-out traps. In addition, the simulations proposed would provide diagnostic tools in the event of cross-contamination. Mathematical solutions are used to simulate the system unsteady water and entrained airflows, and the application of these simulations to predict likely contamination routes. The AIRNET simulation is employed to represent the unsteady air and water down-flow conditions in the network, the associated propagation of air pressure transients and trap response. The simulation can provide a design and standards development tool as well as a forensic and diagnostic tool for the investigation of suspected cross-contamination. The simulations confirm that cross-contamination routes result from normal operation and random failure conditions, including system surcharge and trap depletion due to, for example, poor maintenance. It suggests that simulation predictions have an important role in ascertaining potential hazards, as well as a forensic role.

    AB - Recent concerns about the role of the drainage and vent systems installed in high-rise and other buildings in the possible spread of airborne contamination have highlighted the need for simulations capable of predicting system response when subject to multiple and random events. Such simulations would allow designers to predict the possible contamination routes established as a result of failures of the system, e.g. trap seal loss and/or the influence of dried-out traps. In addition, the simulations proposed would provide diagnostic tools in the event of cross-contamination. Mathematical solutions are used to simulate the system unsteady water and entrained airflows, and the application of these simulations to predict likely contamination routes. The AIRNET simulation is employed to represent the unsteady air and water down-flow conditions in the network, the associated propagation of air pressure transients and trap response. The simulation can provide a design and standards development tool as well as a forensic and diagnostic tool for the investigation of suspected cross-contamination. The simulations confirm that cross-contamination routes result from normal operation and random failure conditions, including system surcharge and trap depletion due to, for example, poor maintenance. It suggests that simulation predictions have an important role in ascertaining potential hazards, as well as a forensic role.

    KW - Airborne contamination

    KW - Building operation

    KW - Disease vectors

    KW - Drainage design

    KW - Drainage systems

    KW - Modelling infection

    KW - Public health

    KW - Water seals

    KW - Water traps

    UR - http://www.scopus.com/inward/record.url?scp=9144232116&partnerID=8YFLogxK

    U2 - 10.1080/0961321042000259178

    DO - 10.1080/0961321042000259178

    M3 - Article

    VL - 32

    SP - 451

    EP - 467

    JO - Building Research and Information

    JF - Building Research and Information

    SN - 0961-3218

    IS - 6

    ER -