Articles | Volume 19, issue 2
https://doi.org/10.5194/acp-19-1327-2019
© Author(s) 2019. 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-19-1327-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2019
Research article |
| 31 Jan 2019
| 31 Jan 2019
Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China
Jun Chen
State Key Laboratory of Remote Sensing Science, College of Global
Change and Earth System Science, Beijing Normal University, Beijing 100875,
China
Department of Atmospheric and Oceanic Sciences and ESSIC, University
of Maryland, College Park, Maryland, USA
Min Lv
School of Geographic Science, Nantong University, Nantong 226000,
China
State Key Laboratory of Remote Sensing Science, College of Global
Change and Earth System Science, Beijing Normal University, Beijing 100875,
China
State Key Laboratory of Remote Sensing Science, College of Global
Change and Earth System Science, Beijing Normal University, Beijing 100875,
China
Yingjie Zhang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Haofei Wang
College of Resource Environment and Tourism, Capital Normal
University, Beijing 100048, China
State Environment Protection Key Laboratory of Satellite Remote
Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of
Sciences, Beijing 100101, China
State Key Laboratory of Remote Sensing Science, College of Global
Change and Earth System Science, Beijing Normal University, Beijing 100875,
China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Maureen Cribb
Department of Atmospheric and Oceanic Sciences and ESSIC, University
of Maryland, College Park, Maryland, USA
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Latest update: 19 Nov 2024
Short summary
The hygroscopic growth function of aerosol particles is derived from Raman lidar, whose dependence on aerosol chemical composition is investigated using data from an aerosol chemical speciation monitor (ACSM) and a hygroscopic tandem differential mobility analyzer (H-TDMA) deployed in China. Two distinct cases were chosen with marked differences in their hygroscopic growth, which was fitted by the Kasten model. The differences were attributed to different amounts of chemical species.
The hygroscopic growth function of aerosol particles is derived from Raman lidar, whose...
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