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Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China.
Li, Zhifang; Zhu, Yun; Wang, Shuxiao; Xing, Jia; Zhao, Bin; Long, Shicheng; Li, Minhui; Yang, Wenwei; Huang, Ruolin; Chen, Ying.
Afiliação
  • Li Z; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
  • Zhu Y; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China. Electronic address: zhuyun@scut.edu.cn.
  • Wang S; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
  • Xing J; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
  • Zhao B; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
  • Long S; Guangzhou Urban Environmental Cloud Information Technology R&D Co. Ltd, Guangzhou 510006, China.
  • Li M; Guangdong Provincial Academy of Environmental Science, Guangzhou 510006, China.
  • Yang W; Guangzhou Urban Environmental Cloud Information Technology R&D Co. Ltd, Guangzhou 510006, China.
  • Huang R; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
  • Chen Y; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
Sci Total Environ ; 818: 151757, 2022 Apr 20.
Article em En | MEDLINE | ID: mdl-34800450
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rios / Poluentes Atmosféricos Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rios / Poluentes Atmosféricos Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China