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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group US
2021
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| Materias: | |
| 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 |