Meteorology-normalized variations of air quality during the COVID-19 lockdown in three Chinese megacities

To avoid the spread of COVID-19, China implemented strict prevention and control measures, resulting in dramatic variations in air quality. Here, we applied a machine learning algorithm (random forest model) to eliminate meteorological effects and characterize the high-resolution variation character...

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Detalles Bibliográficos
Autores principales: Lv, Yunqian, Tian, Hezhong, Luo, Lining, Liu, Shuhan, Bai, Xiaoxuan, Zhao, Hongyan, Lin, Shumin, Zhao, Shuang, Guo, Zhihui, Xiao, Yifei, Yang, Junqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106379/
https://www.ncbi.nlm.nih.gov/pubmed/35601668
http://dx.doi.org/10.1016/j.apr.2022.101452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106379/
https://www.ncbi.nlm.nih.gov/pubmed/35601668
http://dx.doi.org/10.1016/j.apr.2022.101452

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