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Assessment of meteorological and air quality drivers of elevated ambient ozone in Beijing via machine learning approach.
Hassan, Muhammad Azher; Faheem, Muhammad; Mehmood, Tariq; Yin, Yihui; Liu, Junjie.
Affiliation
  • Hassan MA; Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China.
  • Faheem M; Department of Civil Infrastructure and Environmental Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
  • Mehmood T; Department of Environmental Engineering, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, D-04318, Leipzig, Germany.
  • Yin Y; Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
  • Liu J; Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China. jjliu@tju.edu.cn.
Environ Sci Pollut Res Int ; 30(47): 104086-104099, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37698799
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Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Ozone / Air Pollutants / Air Pollution Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Ozone / Air Pollutants / Air Pollution Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Year: 2023 Document type: Article