Measuring Spatial and Temporal PM(2.5) Variations in Sacramento, California, Communities Using a Network of Low-Cost Sensors

Low-cost sensors can provide insight on the spatio-temporal variability of air pollution, provided that sufficient efforts are made to ensure data quality. Here, 19 AirBeam particulate matter (PM) sensors were deployed from December 2016 to January 2017 to determine the spatial variability of PM(2.5...

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Detalles Bibliográficos
Autores principales: Mukherjee, Anondo, Brown, Steven G., McCarthy, Michael C., Pavlovic, Nathan R., Stanton, Levi G., Snyder, Janice Lam, D’Andrea, Stephen, Hafner, Hilary R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864658/
https://www.ncbi.nlm.nih.gov/pubmed/31671841
http://dx.doi.org/10.3390/s19214701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864658/
https://www.ncbi.nlm.nih.gov/pubmed/31671841
http://dx.doi.org/10.3390/s19214701

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