Your browser doesn't support javascript.
loading
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic.
Zhao, Yuan; Wang, Li; Luo, Jinmu; Huang, Tao; Tao, Shu; Liu, Junfeng; Yu, Yong; Huang, Yufei; Liu, Xinrui; Ma, Jianmin.
Afiliação
  • Zhao Y; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
  • Wang L; CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province , Lanzhou Institute of Chemical Physics , Chinese Academy of Sciences , Lanzhou 730000 , China.
  • Luo J; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
  • Huang T; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences , Lanzhou University , Lanzhou 730000 , China.
  • Tao S; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
  • Liu J; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
  • Yu Y; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology , Chinese Academy of Sciences , Changchun 130102 , China.
  • Huang Y; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
  • Liu X; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
  • Ma J; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China.
Environ Sci Technol ; 53(22): 13238-13245, 2019 Nov 19.
Article em En | MEDLINE | ID: mdl-31633339
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hidrocarbonetos Policíclicos Aromáticos / Poluentes Atmosféricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hidrocarbonetos Policíclicos Aromáticos / Poluentes Atmosféricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article