Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17515-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-17515-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nitrate formation from heterogeneous uptake of dinitrogen pentoxide during a severe winter haze in southern China
Hui Yun
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Weihao Wang
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Chuan Yu
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Environment Research Institute, Shandong University, Jinan, China
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Steven C. N. Poon
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Dingli Yue
Guangdong Environmental Monitoring Center, State Environmental
Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou,
China
Yan Zhou
Guangdong Environmental Monitoring Center, State Environmental
Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou,
China
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1 citations as recorded by crossref.
Latest update: 04 Nov 2024
Short summary
Based on the data analysis of simultaneous measurement of N2O5 and ClNO2 in a severe winter haze in the Pearl River Delta, this study underscores the importance of N2O5 heterogeneous reactions in nitrate formation and calls for better parameterization of N2O5 heterogeneous chemistry in order to predict haze pollution in China.
Based on the data analysis of simultaneous measurement of N2O5 and ClNO2 in a severe winter haze...
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