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Predicting Atmospheric Particle Phase State Using an Explainable Machine Learning Approach Based on Particle Rebound Measurements.
Qiu, Yanting; Liu, Yuechen; Wu, Zhijun; Wang, Fuzhou; Meng, Xiangxinyue; Zhang, Zirui; Man, Ruiqi; Huang, Dandan; Wang, Hongli; Gao, Yaqin; Huang, Cheng; Hu, Min.
Afiliación
  • Qiu Y; State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Liu Y; State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Wu Z; State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Wang F; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Meng X; Department of Computer Science, City University of Hong Kong, Hong Kong, SAR 999077, China.
  • Zhang Z; State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Man R; State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Huang D; State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Wang H; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
  • Gao Y; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
  • Huang C; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
  • Hu M; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
Environ Sci Technol ; 57(40): 15055-15064, 2023 10 10.
Article en En | MEDLINE | ID: mdl-37774013
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Atmósfera / Nitratos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Atmósfera / Nitratos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: China