Project Instance

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{
    "ob_id": 37139,
    "uuid": "64c78e191b7e434385d01850ee753e4f",
    "title": "Transition Air Quality - Minimising Public Exposure at the Roadside",
    "abstract": "A newly emerging air quality and public health challenge comes from exposure to high, momentary peaks of air pollution which arise from vehicles stop-start manoeuvres and accelerations, typical of congested urban areas. Roadside air quality instrumentation does not routinely measure these events, and the health implications – especially for vulnerable groups (e.g. children, the elderly) who use streets and public transport more frequently – remain unknown. While literature is starting to discuss the weaknesses of the “point-fixed/uniform exposure” approach, there is a clear necessity of building up data to support specific air quality and medical research.\r\n\r\nLeveraging years of experience on emissions, and Computational Fluid Dynamics (CFD) modelling, Oxford Brookes University have developed a new ultra-high definition 3-Dimensional CFD urban model, capable of: predicting the complex dynamics of pollutants dispersion from moving traffic; and quantifying actual exposure for the public occupying the space. The model is computationally demanding, but offers a vast accuracy advantage compared to other approaches (e.g. Gaussian Plume Models) for application in dense urban environments.\r\n\r\nThis project aims to: increase the technical capabilities of the Oxford Brookes University model; perform its validation using purposely-collected field data; and carry out a case study on bus stop shelters, to assess the effective protection they may offer from short-term peak concentrations of air pollution. This was funded by UKRI grant NE/V002449/1 https://transition-air.org.uk/research/",
    "keywords": "",
    "status": "completed",
    "publicationState": "published",
    "identifier_set": [],
    "observationCollection": [],
    "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/34719/?format=api",
    "subProject": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177523/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177524/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177525/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177526/?format=api"
    ]
}