Articles | Volume 26, issue 16
https://doi.org/10.5194/acp-26-11771-2026
© Author(s) 2026. 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-26-11771-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
19 Aug 2026
Measurement report |
| 19 Aug 2026
| 19 Aug 2026
Measurement report: Dust Transport and Local Anthropogenic Emissions Differently Shape Atmospheric Ice-Nucleating Particles in an Industrial Urban Atmosphere
Jiawei Yang
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Jingchuan Chen
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Institute for Atmospheric and Climate Science, ETH Zürich, 8092 Zurich, Switzerland
Zeyu Feng
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Wenxu Fang
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Yanting Qiu
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Junrui Wang
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Ruiqi Man
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Taomou Zong
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Yuechen Liu
National Institute of Metrology, Beijing 100029, China
Zhijun Wu
CORRESPONDING AUTHOR
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
Ning Tang
Institute of Nature and Environmental Technology, Kanazawa University, Kanazawa, Japan
State Key Laboratory of Regional Environment and Sustainability, International Joint Research Center for Atmospheric Research (IJRC), Institute of Carbon Neutrality, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
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Xiaodong Xie, Jianlin Hu, Momei Qin, Song Guo, Min Hu, Dongsheng Ji, Hongli Wang, Shengrong Lou, Cheng Huang, Chong Liu, Hongliang Zhang, Qi Ying, Hong Liao, and Yuanhang Zhang
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Taomou Zong, Zhijun Wu, Junrui Wang, Kai Bi, Wenxu Fang, Yanrong Yang, Xuena Yu, Zhier Bao, Xiangxinyue Meng, Yuheng Zhang, Song Guo, Yang Chen, Chunshan Liu, Yue Zhang, Shao-Meng Li, and Min Hu
Atmos. Meas. Tech., 16, 3679–3692, https://doi.org/10.5194/amt-16-3679-2023, https://doi.org/10.5194/amt-16-3679-2023, 2023
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Hejun Hu, Haichao Wang, Keding Lu, Jie Wang, Zelong Zheng, Xuezhen Xu, Tianyu Zhai, Xiaorui Chen, Xiao Lu, Wenxing Fu, Xin Li, Limin Zeng, Min Hu, Yuanhang Zhang, and Shaojia Fan
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Lizi Tang, Min Hu, Dongjie Shang, Xin Fang, Jianjiong Mao, Wanyun Xu, Jiacheng Zhou, Weixiong Zhao, Yaru Wang, Chong Zhang, Yingjie Zhang, Jianlin Hu, Limin Zeng, Chunxiang Ye, Song Guo, and Zhijun Wu
Atmos. Chem. Phys., 23, 4343–4359, https://doi.org/10.5194/acp-23-4343-2023, https://doi.org/10.5194/acp-23-4343-2023, 2023
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Ruiqi Man, Zhijun Wu, Taomou Zong, Aristeidis Voliotis, Yanting Qiu, Johannes Größ, Dominik van Pinxteren, Limin Zeng, Hartmut Herrmann, Alfred Wiedensohler, and Min Hu
Atmos. Chem. Phys., 22, 12387–12399, https://doi.org/10.5194/acp-22-12387-2022, https://doi.org/10.5194/acp-22-12387-2022, 2022
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Gang Zhao, Tianyi Tan, Shuya Hu, Zhuofei Du, Dongjie Shang, Zhijun Wu, Song Guo, Jing Zheng, Wenfei Zhu, Mengren Li, Limin Zeng, and Min Hu
Atmos. Chem. Phys., 22, 10861–10873, https://doi.org/10.5194/acp-22-10861-2022, https://doi.org/10.5194/acp-22-10861-2022, 2022
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Kai Song, Song Guo, Yuanzheng Gong, Daqi Lv, Yuan Zhang, Zichao Wan, Tianyu Li, Wenfei Zhu, Hui Wang, Ying Yu, Rui Tan, Ruizhe Shen, Sihua Lu, Shuangde Li, Yunfa Chen, and Min Hu
Atmos. Chem. Phys., 22, 9827–9841, https://doi.org/10.5194/acp-22-9827-2022, https://doi.org/10.5194/acp-22-9827-2022, 2022
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Emissions from four typical Chinese domestic cooking and fried chicken using four kinds of oils were investigated to illustrate the impact of cooking style and oil. Of the estimated SOA, 10.2 %–32.0 % could be explained by S/IVOC oxidation. Multiway principal component analysis (MPCA) emphasizes the importance of the unsaturated fatty acid-alkadienal volatile product mechanism (oil autoxidation) accelerated by the cooking and heating procedure.
Cuiqi Zhang, Zhijun Wu, Jingchuan Chen, Jie Chen, Lizi Tang, Wenfei Zhu, Xiangyu Pei, Shiyi Chen, Ping Tian, Song Guo, Limin Zeng, Min Hu, and Zamin A. Kanji
Atmos. Chem. Phys., 22, 7539–7556, https://doi.org/10.5194/acp-22-7539-2022, https://doi.org/10.5194/acp-22-7539-2022, 2022
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The immersion ice nucleation effectiveness of aerosols from multiple sources in the urban environment remains elusive. In this study, we demonstrate that the immersion ice-nucleating particle (INP) concentration increased dramatically during a dust event in an urban atmosphere. Pollutant aerosols, including inorganic salts formed through secondary transformation (SIA) and black carbon (BC), might not act as effective INPs under mixed-phase cloud conditions.
Haoran Zhang, Nan Li, Keqin Tang, Hong Liao, Chong Shi, Cheng Huang, Hongli Wang, Song Guo, Min Hu, Xinlei Ge, Mindong Chen, Zhenxin Liu, Huan Yu, and Jianlin Hu
Atmos. Chem. Phys., 22, 5495–5514, https://doi.org/10.5194/acp-22-5495-2022, https://doi.org/10.5194/acp-22-5495-2022, 2022
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We developed a new algorithm with low economic/technique costs to identify primary and secondary components of PM2.5. Our model was shown to be reliable by comparison with different observation datasets. We systematically explored the patterns and changes in the secondary PM2.5 pollution in China at large spatial and time scales. We believe that this method is a promising tool for efficiently estimating primary and secondary PM2.5, and has huge potential for future PM mitigation.
Yun Lin, Yuan Wang, Bowen Pan, Jiaxi Hu, Song Guo, Misti Levy Zamora, Pengfei Tian, Qiong Su, Yuemeng Ji, Jiayun Zhao, Mario Gomez-Hernandez, Min Hu, and Renyi Zhang
Atmos. Chem. Phys., 22, 4951–4967, https://doi.org/10.5194/acp-22-4951-2022, https://doi.org/10.5194/acp-22-4951-2022, 2022
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Severe regional haze events, which are characterized by exceedingly high levels of fine particulate matter (PM), occur frequently in many developing countries (such as China and India), with profound implications for human health, weather, and climate. Our work establishes a synthetic view for the dominant regional features during severe haze events, unraveling rapid in situ PM production and inefficient transport, both of which are amplified by atmospheric stagnation.
Gang Zhao, Tianyi Tan, Yishu Zhu, Min Hu, and Chunsheng Zhao
Atmos. Chem. Phys., 21, 18055–18063, https://doi.org/10.5194/acp-21-18055-2021, https://doi.org/10.5194/acp-21-18055-2021, 2021
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In this study, the black carbon (BC) mixing state index (χ) is developed to quantify the dispersion of ambient black carbon aerosol mixing states based on binary systems of BC and other non-black carbon components. We demonstrate that the BC light absorption enhancement increases with χ for the same MR, which indicates that χ can be employed as a factor to constrain the light absorption enhancement of ambient BC.
Zirui Zhang, Wenfei Zhu, Min Hu, Kefan Liu, Hui Wang, Rongzhi Tang, Ruizhe Shen, Ying Yu, Rui Tan, Kai Song, Yuanju Li, Wenbin Zhang, Zhou Zhang, Hongming Xu, Shijin Shuai, Shuangde Li, Yunfa Chen, Jiayun Li, Yuesi Wang, and Song Guo
Atmos. Chem. Phys., 21, 15221–15237, https://doi.org/10.5194/acp-21-15221-2021, https://doi.org/10.5194/acp-21-15221-2021, 2021
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We comprehensively investigated the mass growth potential, oxidation degree, formation pathway, and mass spectra features of typical urban-lifestyle secondary organic aerosols (SOAs) including vehicle SOAs and cooking SOAs. The mass spectra we acquired could provide necessary references to estimate the mass fractions of vehicle and cooking SOAs in the atmosphere, which would greatly decrease the uncertainty in air quality evaluation and health risk assessment in urban areas.
Wenfei Zhu, Song Guo, Zirui Zhang, Hui Wang, Ying Yu, Zheng Chen, Ruizhe Shen, Rui Tan, Kai Song, Kefan Liu, Rongzhi Tang, Yi Liu, Shengrong Lou, Yuanju Li, Wenbin Zhang, Zhou Zhang, Shijin Shuai, Hongming Xu, Shuangde Li, Yunfa Chen, Min Hu, Francesco Canonaco, and Andre S. H. Prévôt
Atmos. Chem. Phys., 21, 15065–15079, https://doi.org/10.5194/acp-21-15065-2021, https://doi.org/10.5194/acp-21-15065-2021, 2021
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The experiments of primary emissions and secondary organic aerosol (SOA) formation from urban lifestyle sources (cooking and vehicles) were conducted. The mass spectral features of primary organic aerosol (POA) and SOA were characterized by using a high-resolution time-of-flight aerosol mass spectrometer. This work, for the first time, establishes the vehicle and cooking SOA source profiles and can be further used as source constraints in the OA source apportionment in the ambient atmosphere.
Huan Song, Keding Lu, Can Ye, Huabin Dong, Shule Li, Shiyi Chen, Zhijun Wu, Mei Zheng, Limin Zeng, Min Hu, and Yuanhang Zhang
Atmos. Chem. Phys., 21, 13713–13727, https://doi.org/10.5194/acp-21-13713-2021, https://doi.org/10.5194/acp-21-13713-2021, 2021
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Secondary sulfate aerosols are an important component of fine particles in severe air pollution events. We calculated the sulfate formation rates via a state-of-the-art multiphase model constrained to the observed values. We showed that transition metals in urban aerosols contribute significantly to sulfate formation during haze periods and thus play an important role in mitigation strategies and public health measures in megacities worldwide.
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Short summary
In clouds containing liquid water and ice (about 0 to −38 °C), ice-nucleating particles act as tiny “seeds” that help supercooled water freeze. We studied these particles in winter air in Taiyuan, an industrial city in northern China. The strongest increases occurred during a desert dust intrusion, while haze and pollution showed weak links to fine-particle pollution sources. This suggests urban freezing particles can be strongly affected by transported dust, not pollution intensity alone.
In clouds containing liquid water and ice (about 0 to −38 °C), ice-nucleating particles act as...
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