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Multi-factor reconciliation of discrepancies in ozone-precursor sensitivity retrieved from observation- and emission-based models.
Xu, Danni; Yuan, Zibing; Wang, Ming; Zhao, Kaihui; Liu, Xuehui; Duan, Yusen; Fu, Qingyan; Wang, Qian; Jing, Shengao; Wang, Hongli; Zhao, Xin.
Afiliación
  • Xu D; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Yuan Z; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China. Electronic address: zibing@scut.edu.cn.
  • Wang M; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
  • Zhao K; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Liu X; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Duan Y; Shanghai Environmental Monitoring Center, Shanghai 200235, China.
  • Fu Q; Shanghai Environmental Monitoring Center, Shanghai 200235, China.
  • Wang Q; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
  • Jing S; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, 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.
  • Zhao X; Nanjing Intelligent Environmental Science and Technology Co., Ltd., Nanjing 211800, China.
Environ Int ; 158: 106952, 2022 01.
Article en En | MEDLINE | ID: mdl-34717174
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ozono / Contaminantes Atmosféricos / Contaminación del Aire / Compuestos Orgánicos Volátiles Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Int Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ozono / Contaminantes Atmosféricos / Contaminación del Aire / Compuestos Orgánicos Volátiles Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Int Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos