Articles | Volume 18, issue 12
https://doi.org/10.5194/acp-18-9061-2018
© 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-18-9061-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Light absorption of brown carbon in eastern China based on 3-year multi-wavelength aerosol optical property observations and an improved absorption Ångström exponent segregation method
Jiaping Wang
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Department of multiphase chemistry, Max-Plank Institute for Chemistry, Mainz, Germany
Wei Nie
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Yafang Cheng
Department of multiphase chemistry, Max-Plank Institute for Chemistry, Mainz, Germany
Research Institute for Climate and Environment, Jinan University, Guangzhou, China
Yicheng Shen
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Xuguang Chi
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Jiandong Wang
Department of multiphase chemistry, Max-Plank Institute for Chemistry, Mainz, Germany
Xin Huang
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Yuning Xie
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Zheng Xu
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Ximeng Qi
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Department of multiphase chemistry, Max-Plank Institute for Chemistry, Mainz, Germany
Research Institute for Climate and Environment, Jinan University, Guangzhou, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing, 210023, China
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Latest update: 16 Aug 2024
Short summary
An optimized segregation method is applied to estimate light absorption of brown carbon (BrC) in Nanjing. This study highlights the considerable contribution of BrC to light absorption in the Yangtze River Delta region, China, and depicts its long-term profile in this region for the first time. Lagrangian modeling and the chemical signature observed at the site suggested that open biomass burning and residential emissions are the dominant sources influencing BrC in the two highest BrC seasons.
An optimized segregation method is applied to estimate light absorption of brown carbon (BrC) in...
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