Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO(2) and PM(2.5) over the Beijing area using Generalized Additive Models (GAM)

Unprecedented travel restrictions due to the COVID-19 pandemic caused remarkable reductions in anthropogenic emissions, however, the Beijing area still experienced extreme haze pollution even under the strict COVID-19 controls. Generalized Additive Models (GAM) were developed with respect to inter-a...

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Detalles Bibliográficos
Autores principales: Hua, Jinxi, Zhang, Yuanxun, de Foy, Benjamin, Shang, Jing, Schauer, James J., Mei, Xiaodong, Sulaymon, Ishaq Dimeji, Han, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096144/
https://www.ncbi.nlm.nih.gov/pubmed/33965708
http://dx.doi.org/10.1016/j.jenvman.2021.112676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096144/
https://www.ncbi.nlm.nih.gov/pubmed/33965708
http://dx.doi.org/10.1016/j.jenvman.2021.112676

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