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Machine learning assesses drivers of PM2.5 air pollution trend in the Tibetan Plateau from 2015 to 2022.
Zhang, Binqian; Zhang, Yunjiang; Zhang, Kexin; Zhang, Yichen; Ji, Yao; Zhu, Baizhen; Liang, Zeye; Wang, Hongli; Ge, Xinlei.
Afiliación
  • Zhang B; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Zhang Y; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China; S
  • Zhang K; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Zhang Y; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Ji Y; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Zhu B; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Liang Z; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Wang H; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environment Sciences, Shanghai 200233, China.
  • Ge X; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Sci Total Environ ; 878: 163189, 2023 Jun 20.
Article en En | MEDLINE | ID: mdl-37003326
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: China