Understanding and revealing the intrinsic impacts of the COVID-19 lockdown on air quality and public health in North China using machine learning

To avoid the spread of COVID-19, China implemented strict prevention and control measures, resulting in dramatic variations in urban and regional air quality. With the complex effect from long-term emission mitigation and meteorology variation, an accurate evaluation of the net effect from lockdown...

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Detalles Bibliográficos
Autores principales: Lv, Yunqian, Tian, Hezhong, Luo, Lining, Liu, Shuhan, Bai, Xiaoxuan, Zhao, Hongyan, Zhang, Kai, Lin, Shumin, Zhao, Shuang, Guo, Zhihui, Xiao, Yifei, Yang, Junqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550286/
https://www.ncbi.nlm.nih.gov/pubmed/36228798
http://dx.doi.org/10.1016/j.scitotenv.2022.159339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550286/
https://www.ncbi.nlm.nih.gov/pubmed/36228798
http://dx.doi.org/10.1016/j.scitotenv.2022.159339

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