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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
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 |
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