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Source apportionment of carbonaceous aerosols using hourly data and implications for reducing PM2.5 in the Pearl River Delta region of South China.
Huang, Junjun; Zhang, Zhisheng; Tao, Jun; Zhang, Leiming; Nie, Fuli; Fei, Leilei.
Afiliación
  • Huang J; Institute for Environmental and Climate Research, Jinan University, Guangzhou, China.
  • Zhang Z; South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, China; Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangzhou, China. Electronic address: zhangzhisheng@scies.org.
  • Tao J; Institute for Environmental and Climate Research, Jinan University, Guangzhou, China; South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, China; Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pe
  • Zhang L; Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, Canada.
  • Nie F; South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, China; Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangzhou, China.
  • Fei L; South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, China; Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangzhou, China.
Environ Res ; 210: 112960, 2022 07.
Article en En | MEDLINE | ID: mdl-35189099
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article País de afiliación: China