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MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning.
Ma, Jinghui; Zhang, Renhe; Xu, Jianming; Yu, Zhongqi.
Afiliación
  • Ma J; Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China; Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai 200030, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, S
  • Zhang R; Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China; Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai 200433, China. Electronic address: rhzhang@fudan.edu.cn.
  • Xu J; Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai 200030, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China.
  • Yu Z; Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai 200030, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China.
Sci Total Environ ; 827: 154363, 2022 Jun 25.
Article en En | MEDLINE | ID: mdl-35259390

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article
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