Pedestrian exposure to black carbon and PM(2.5) emissions in urban hot spots: new findings using mobile measurement techniques and flexible Bayesian regression models

BACKGROUND: Data from extensive mobile measurements (MM) of air pollutants provide spatially resolved information on pedestrians’ exposure to particulate matter (black carbon (BC) and PM(2.5) mass concentrations). OBJECTIVE: We present a distributional regression model in a Bayesian framework that e...

Descripción completa

Detalles Bibliográficos
Autores principales: Alas, Honey Dawn, Stöcker, Almond, Umlauf, Nikolaus, Senaweera, Oshada, Pfeifer, Sascha, Greven, Sonja, Wiedensohler, Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349038/
https://www.ncbi.nlm.nih.gov/pubmed/34455418
http://dx.doi.org/10.1038/s41370-021-00379-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349038/
https://www.ncbi.nlm.nih.gov/pubmed/34455418
http://dx.doi.org/10.1038/s41370-021-00379-5

Ejemplares similares