Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns

The COVID-19 lockdowns led to major reductions in air pollutant emissions. Here, we quantitatively evaluate changes in ambient NO(2), O(3), and PM(2.5) concentrations arising from these emission changes in 11 cities globally by applying a deweathering machine learning technique. Sudden decreases in...

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Detalles Bibliográficos
Autores principales: Shi, Zongbo, Song, Congbo, Liu, Bowen, Lu, Gongda, Xu, Jingsha, Van Vu, Tuan, Elliott, Robert J. R., Li, Weijun, Bloss, William J., Harrison, Roy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806219/
https://www.ncbi.nlm.nih.gov/pubmed/33523881
http://dx.doi.org/10.1126/sciadv.abd6696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806219/
https://www.ncbi.nlm.nih.gov/pubmed/33523881
http://dx.doi.org/10.1126/sciadv.abd6696

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