Articles | Volume 23, issue 14
https://doi.org/10.5194/acp-23-8021-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-8021-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2023
Research article |
| 19 Jul 2023
| 19 Jul 2023
Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China
Jianyan Lu
State Key Laboratory of Severe Weather, Key Laboratory of
Atmospheric Chemistry of CMA, Institute of Atmospheric Composition, Chinese
Academy of Meteorological Sciences, Beijing 100081, China
Sunling Gong
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather, Key Laboratory of
Atmospheric Chemistry of CMA, Institute of Atmospheric Composition, Chinese
Academy of Meteorological Sciences, Beijing 100081, China
National Observation and Research Station of Coastal Ecological
Environments in Macao, Macao Environmental Research Institute, Macau
University of Science and Technology, Macao SAR 999078, China
Jian Zhang
State Key Laboratory of Severe Weather, Key Laboratory of
Atmospheric Chemistry of CMA, Institute of Atmospheric Composition, Chinese
Academy of Meteorological Sciences, Beijing 100081, China
Jianmin Chen
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Fudan Tyndall Centre, Institute of Atmospheric Sciences, Fudan University,
Shanghai, China
Center for Excellence in Urban Atmospheric Environment, Institute
of Urban Environment, Chinese Academy of Science, Xiamen, China
Shanghai Institute of Eco-Chongming (SIEC), No. 3663 Northern
Zhongshan Road, Shanghai 200062, China
Lei Zhang
State Key Laboratory of Severe Weather, Key Laboratory of
Atmospheric Chemistry of CMA, Institute of Atmospheric Composition, Chinese
Academy of Meteorological Sciences, Beijing 100081, China
Chunhong Zhou
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather, Key Laboratory of
Atmospheric Chemistry of CMA, Institute of Atmospheric Composition, Chinese
Academy of Meteorological Sciences, Beijing 100081, China
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Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, and Hongliang Zhang
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Sunling Gong, Hongli Liu, Bihui Zhang, Jianjun He, Hengde Zhang, Yaqiang Wang, Shuxiao Wang, Lei Zhang, and Jie Wang
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Lei Zhang, Sunling Gong, Tianliang Zhao, Chunhong Zhou, Yuesi Wang, Jiawei Li, Dongsheng Ji, Jianjun He, Hongli Liu, Ke Gui, Xiaomei Guo, Jinhui Gao, Yunpeng Shan, Hong Wang, Yaqiang Wang, Huizheng Che, and Xiaoye Zhang
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Yujiao Zhu, Likun Xue, Jian Gao, Jianmin Chen, Hongyong Li, Yong Zhao, Zhaoxin Guo, Tianshu Chen, Liang Wen, Penggang Zheng, Ye Shan, Xinfeng Wang, Tao Wang, Xiaohong Yao, and Wenxing Wang
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This work investigates the long-term changes in new particle formation (NPF) events under reduced SO2 emissions at the summit of Mt. Tai during seven campaigns from 2007 to 2018. We found the NPF intensity increased 2- to 3-fold in 2018 compared to 2007. In contrast, the probability of new particles growing to CCN size largely decreased. Changes to biogenic VOCs and anthropogenic emissions are proposed to explain the distinct NPF characteristics.
Jiarong Li, Chao Zhu, Hui Chen, Defeng Zhao, Likun Xue, Xinfeng Wang, Hongyong Li, Pengfei Liu, Junfeng Liu, Chenglong Zhang, Yujing Mu, Wenjin Zhang, Luming Zhang, Hartmut Herrmann, Kai Li, Min Liu, and Jianmin Chen
Atmos. Chem. Phys., 20, 13735–13751, https://doi.org/10.5194/acp-20-13735-2020, https://doi.org/10.5194/acp-20-13735-2020, 2020
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Based on a field study at Mt. Tai, China, the simultaneous variations of cloud microphysics, aerosol microphysics and their potential interactions during cloud life cycles were discussed. Results demonstrated that clouds on clean days were more susceptible to the concentrations of particle number, while clouds formed on polluted days might be more sensitive to meteorological parameters. Particles larger than 150 nm played important roles in forming cloud droplets with sizes of 5–10 μm.
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Short summary
WRF/CUACE was used to assess the cloud chemistry contribution in China. Firstly, the CUACE cloud chemistry scheme was found to reproduce well the cloud processing and consumption of H2O2, O3, and SO2, as well as the increase of sulfate. Secondly, during cloud availability in December under a heavy pollution episode, sulfate production increased 60–95 % and SO2 was reduced by over 80 %. This study provides a way to analyze the phenomenon of overestimation of SO2 in many chemical transport models.
WRF/CUACE was used to assess the cloud chemistry contribution in China. Firstly, the CUACE cloud...
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