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  • [\'Department of Environmental Science and Engineering, Institute of Polar Environment & Anhui Key Laboratory of Polar Environment and Global Change, University of Science and Technology of China, Hefei, Anhui, 230026, China.\', \'Department of Environmental Science and Engineering, Institute of Polar Environment & Anhui Key Laboratory of Polar Environment and Global Change, University of Science and Technology of China, Hefei, Anhui, 230026, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian, 361021, China. Electronic address: zqxie@ustc.edu.cn.\']
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  • -1
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?:doi
?:doi
  • S0269-7491(22)00146-410.1016/j.envpol.2022.118932
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  • Environmental pollution (Barking, Essex : 1987)
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?:pmid
  • 35121018
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?:title
  • Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM2.5 during the COVID-19 outbreak in Hubei Province, China.
?:type
?:year
  • 2022

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