A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region

Large-scale restrictions on anthropogenic activities in China in 2020 due to the Corona Virus Disease 2019 (COVID-19) indirectly led to improvements in air quality. Previous studies have paid little attention to the changes in nitrogen dioxide (NO(2)), fine particulate matter (PM(2.5)) and ozone (O(...

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Detalles Bibliográficos
Autores principales: Ren, Yuchao, Guan, Xu, Zhang, Qingzhu, Li, Lei, Tao, Chenliang, Ren, Shilong, Wang, Qiao, Wang, Wenxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102532/
https://www.ncbi.nlm.nih.gov/pubmed/37061051
http://dx.doi.org/10.1016/j.scitotenv.2023.163190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102532/
https://www.ncbi.nlm.nih.gov/pubmed/37061051
http://dx.doi.org/10.1016/j.scitotenv.2023.163190

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