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Exploring ozone formation rules and concentration response to the change of precursors based on artificial neural network simulation in a typical industrial park.
Wang, Qiaoli; Sheng, Dongping; Wu, Chengzhi; Zhao, Jingkai; Li, Feili; Yao, Shengdong; Ou, Xiaojie; Li, Wei; Chen, Jianmeng.
Affiliation
  • Wang Q; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
  • Sheng D; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
  • Wu C; Trinity Consultants, Inc. (China Office), Hangzhou, 310012, China.
  • Zhao J; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
  • Li F; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
  • Yao S; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
  • Ou X; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
  • Li W; Key Laboratory of Biomass Chemical Engineering of the Ministry of Education, Institute of Industrial Ecology and Environment, College of Chemical and Biological Engineering, Zhejiang University (Zijingang Campus), Hangzhou, 310030, China.
  • Chen J; College of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.
Heliyon ; 9(9): e20125, 2023 Sep.
Article in En | MEDLINE | ID: mdl-37810165
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Heliyon Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Heliyon Year: 2023 Document type: Article