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Deciphering urban traffic impacts on air quality by deep learning and emission inventory.
Du, Wenjie; Chen, Lianliang; Wang, Haoran; Shan, Ziyang; Zhou, Zhengyang; Li, Wenwei; Wang, Yang.
Afiliación
  • Du W; School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China.
  • Chen L; Alibaba Inc., Hangzhou 310052, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China.
  • Wang H; School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China.
  • Shan Z; School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China.
  • Zhou Z; Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China.
  • Li W; CAS Key Laboratory of Urban Pollutant Conversion, Department of environmental science and Engineering, University of Science and Technology of China, Hefei 230026, China; USTC-CityU Joint Advanced Research Center, Suzhou 215123, China.
  • Wang Y; School of Software Engineering, University of Science and Technology of China, Hefei 230026, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China. Electronic address: angyan@ustc.edu.cn.
J Environ Sci (China) ; 124: 745-757, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36182179
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire / Aprendizaje Profundo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Environ Sci (China) Asunto de la revista: SAUDE AMBIENTAL Año: 2023 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: Contaminantes Atmosféricos / Contaminación del Aire / Aprendizaje Profundo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Environ Sci (China) Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos