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Key toxic components and sources affecting oxidative potential of atmospheric particulate matter using interpretable machine learning: Insights from fog episodes.
Li, Ruiyu; Yan, Caiqing; Meng, Qingpeng; Yue, Yang; Jiang, Wei; Yang, Lingxiao; Zhu, Yujiao; Xue, Likun; Gao, Shaopeng; Liu, Weijian; Chen, Tianxing; Meng, Jingjing.
Afiliação
  • Li R; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Yan C; Environment Research Institute, Shandong University, Qingdao 266237, China. Electronic address: cyan0325@sdu.edu.cn.
  • Meng Q; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Yue Y; School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China.
  • Jiang W; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Yang L; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Zhu Y; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Xue L; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Gao S; Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Liu W; College of Environmental and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.
  • Chen T; College of Engineering, University of Washington, 1410 NE Campus Pkwy, Seattle, WA 98195, USA.
  • Meng J; College of Environment and Planning, Liaocheng University, Liaocheng 252000, China.
J Hazard Mater ; 465: 133175, 2024 Mar 05.
Article em En | MEDLINE | ID: mdl-38086305
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article