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Changes in air pollutants during the COVID-19 lockdown in Beijing: Insights from a machine-learning technique and implications for future control policy

The COVID-19 lockdowns led to abrupt reductions in human-related emissions worldwide and had an unintended impact on air quality improvement. However, quantifying this impact is difficult as meteorological conditions may mask the real effect of changes in emissions on the observed concentrations of...

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Detalles Bibliográficos
Autores principales: Hu, Jiabao, Pan, Yuepeng, He, Yuexin, Chi, Xiyuan, Zhang, Qianqian, Song, Tao, Shen, Weishou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748733/
http://dx.doi.org/10.1016/j.aosl.2021.100060

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