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.
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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- Assessing the accuracy of low-cost optical particle sensors using a physics-based approach D. Hagan & J. Kroll
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- Analyzing the Characteristics of Cloud Condensation Nuclei (CCN) in Hebei, China Using Multi-Year Observation and Reanalysis Data H. Wang et al.
- Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception S. Jia & W. Yao
- Long-term monitoring reveals air pollution and its relationship to deposition in karstic suburb of one typical industrialized city, SW China P. Zhang et al.
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- Impacts of Mixed Gaseous and Particulate Pollutants on Secondary Particle Formation during Ozonolysis of Butyl Vinyl Ether P. Zhang et al.
- GPS-ZTD data assimilation and its impact on wintertime haze prediction over North China Plain using WRF 3DVAR and CMAQ modeling system L. Gao et al.
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- Approximated expression of the hygroscopic growth factor for polydispersed aerosols C. Jung et al.
- An improved method for retrieving aerosol optical depth using the ground-level meteorological data over the South-central Plain of Hebei Province, China F. Li et al.
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- Highly significant impact of mineral dust on aerosol hygroscopicity at New Delhi Z. Arub et al.
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- Aerosol hygroscopicity: Hygroscopic growth proxy based on visibility for low-cost PM monitoring A. Molnár et al.
- Confidence Interval Estimation for the Mean of Zero-Inflated Birnbaum–Saunders Distribution N. Ratasukharom et al.
- A New Coupling Method for PM2.5 Concentration Estimation by the Satellite-Based Semiempirical Model and Numerical Model S. Yuan et al.
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- How does humidity affect lidar-derived aerosol optical properties, and how do they compare with CAMS? F. Laly et al.
Saved (final revised paper)
Latest update: 18 May 2026
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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