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Embedding citizens within airborne microplastic and microfibre research (2023)
Journal Article
Williams, B., De Vito, L., Margarida Sardo, A., Pringle, K., Hansen, M., Taylor, M., …Hayes, E. (2023). Embedding citizens within airborne microplastic and microfibre research. Cambridge Prisms: Plastics, 1(e11), 1-5. https://doi.org/10.1017/plc.2023.11

Microplastics are ubiquitous in our environment but their presence in air is less well understood. Homes are likely a key source of airborne microplastics and microfibres to the environment owing to the frequent use and storage of plastics and textil... Read More about Embedding citizens within airborne microplastic and microfibre research.

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article
Akinosho, T. D., Bilal, M., Hayes, E. T., Ajayi, A., Ahmed, A., & Khan, Z. (2023). Deep learning-based multi-target regression for traffic-related air pollution forecasting. Machine Learning with Applications, 12, Article 100474. https://doi.org/10.1016/j.mlwa.2023.100474

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

Challenges and opportunities for local action to improve air quality (2022)
Presentation / Conference
Longhurst, J. (2022, December). Challenges and opportunities for local action to improve air quality. Presented at Next Steps for Improving Air Quality at a Local Level, Online

This brief presentation considers the role of Local Authorities (LA) in providing local air quality management (LAQM) and public health protection. It will focus on the role of LAs in reviewing and assessing air quality, declaring Air Quality Ma... Read More about Challenges and opportunities for local action to improve air quality.

V-KEMS Study group report - Recovery from the pandemic: Hospitality & leisure (2022)
Report
Mustafa, M. (2022). V-KEMS Study group report - Recovery from the pandemic: Hospitality & leisure. Gateway Newton website: Newton Gateway to Mathematics

The UK hospitality and leisure industry as a whole has met some unprecedented challenges over the course of the pandemic, and will continue to do so as the nation recovers. On behalf of the Virtual Forum for Knowledge Exchange in the Mathematical Sc... Read More about V-KEMS Study group report - Recovery from the pandemic: Hospitality & leisure.

Source apportionment and dispersion mapping of fugitive dust using directional passive monitors (2014)
Thesis
Williams, B. Source apportionment and dispersion mapping of fugitive dust using directional passive monitors. (Thesis). University of Portsmouth. Retrieved from https://uwe-repository.worktribe.com/output/10106672

This study combines passive directional dust monitoring methods with ICP-MS analysis, binary mixing modelling and geostatistical modelling to generate dust dispersion maps, enabling a record of Air Pollution Control residue (APC) dust dispersion on a... Read More about Source apportionment and dispersion mapping of fugitive dust using directional passive monitors.