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Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM(2.5) for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Fine particulate matter with an aerodynamic diameter of less than 2.5 µm (PM(2.5)) is highly variable in space and time. In this study, the dynamics of PM(2.5) concentrations were mapped at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus. Significant diur...

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Detalles Bibliográficos
Autores principales:	Hart, Ronan, Liang, Lu, Dong, Pinliang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400490/ https://www.ncbi.nlm.nih.gov/pubmed/32650399 http://dx.doi.org/10.3390/ijerph17144914

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