Evaluating public exposure to airborne particulates from major incident fires: A back trajectory plume modelling approach

Major incident fires at industrial facilities, particularly waste sites, pose a significant risk to public health because of the large amounts of hazardous airborne pollutants released into the ambient environment. Monitoring carried out during these fires is limited in spatial resolution, meaning that the full extent of population exposure is difficult to estimate. In this study, we overcome these limitations by using a novel back-trajectory plume modelling approach, applied to PM<sub>10</sub> emission data from a significant tyre fire that occurred in the UK in 2010. This approach allows the calculation of an hourly emission rate that is then used in the forward modelling mode to predict hourly plume concentrations. An analysis of the modelled plume indicated that, as a reasonable worst case, up to 8000 residents in areas adjacent to the fire may have been exposed to PM<sub>10</sub> concentrations that are deemed hazardous. Moreover, a vulnerability analysis showed that the exposed population had disproportionately poorer health than the national average, thus raising concerns about environmental justice. This work highlights the need to improve regulatory controls for waste sites located near urban areas and for further research on population exposure and the health impacts of major incident fires.

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Publication Details

Journal
Journal of Hazardous Materials
Published
2025-02-01
DOI
https://doi.org/10.1016/j.jhazmat.2025.137455
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.40

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article

Evaluating public exposure to airborne particulates from major incident fires: A back trajectory plume modelling approach

Frank J. Kelly, Michael E. Deary, Jane Entwistle, Helen King et al.
2 citations
Journal of Hazardous Materials
Air Quality and Health Impacts
2.40
article

Evaluating public exposure to airborne particulates from major incident fires: A back trajectory plume modelling approach

Frank J. Kelly, Michael E. Deary, Jane Entwistle, Helen King, Simon Griffiths, Jeremy Wilkinson
article en
2 citations

Abstract

Major incident fires at industrial facilities, particularly waste sites, pose a significant risk to public health because of the large amounts of hazardous airborne pollutants released into the ambient environment. Monitoring carried out during these fires is limited in spatial resolution, meaning that the full extent of population exposure is difficult to estimate. In this study, we overcome these limitations by using a novel back-trajectory plume modelling approach, applied to PM<sub>10</sub> emission data from a significant tyre fire that occurred in the UK in 2010. This approach allows the calculation of an hourly emission rate that is then used in the forward modelling mode to predict hourly plume concentrations. An analysis of the modelled plume indicated that, as a reasonable worst case, up to 8000 residents in areas adjacent to the fire may have been exposed to PM<sub>10</sub> concentrations that are deemed hazardous. Moreover, a vulnerability analysis showed that the exposed population had disproportionately poorer health than the national average, thus raising concerns about environmental justice. This work highlights the need to improve regulatory controls for waste sites located near urban areas and for further research on population exposure and the health impacts of major incident fires.

Journal of Hazardous MaterialsVol. 490
Northumbria University (GB), Imperial College London (GB)
Northumbria University, Medical Research Council
Climate action
Openalex Percentile: Top 15%
Air Quality and Health Impacts
2.40
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Evaluating public exposure to airborne particulates from major incident fires: A back trajectory plume modelling approach — Frank J. Kelly, Michael E. Deary, et al. · Journal of Hazardous Materials (2025) | TGRS Research Map | TGRS