Bayesian spatiotemporal modelling for the assessment of short-term exposure to particle pollution in urban areas

This paper describes a Bayesian hierarchical approach to predict short-term concentrations of particle pollution in an urban environment, with application to inhalable particulate matter (PM(10)) in Greater London. We developed and compared several spatiotemporal models that differently accounted fo...

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Detalles Bibliográficos
Autores principales: Pirani, Monica, Gulliver, John, Fuller, Gary W, Blangiardo, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994509/
https://www.ncbi.nlm.nih.gov/pubmed/24280683
http://dx.doi.org/10.1038/jes.2013.85

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994509/
https://www.ncbi.nlm.nih.gov/pubmed/24280683
http://dx.doi.org/10.1038/jes.2013.85

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