Articles | Volume 22, issue 3
https://doi.org/10.5194/acp-22-2029-2022
© Author(s) 2022. 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-22-2029-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Feb 2022
Research article |
| 14 Feb 2022
| 14 Feb 2022
Bimodal distribution of size-resolved particle effective density: results from a short campaign in a rural environment over the North China Plain
Yaqing Zhou
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Nan Ma
CORRESPONDING AUTHOR
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Qiaoqiao Wang
CORRESPONDING AUTHOR
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Zhibin Wang
Research Center for Air Pollution and Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
Chunrong Chen
Department of Earth System Science, Tsinghua University, Beijing,
100084, China
Jiangchuan Tao
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Juan Hong
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Long Peng
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yao He
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Linhong Xie
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Shaowen Zhu
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yuxuan Zhang
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
School of Atmospheric Sciences, Nanjing University, Nanjing, 210093, China
Guo Li
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
Wanyun Xu
State Key Laboratory of Severe Weather, Key Laboratory for Atmospheric Chemistry, Institute of Atmospheric Composition and Environmental
Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Peng Cheng
Institute of Mass Spectrometry and Atmospheric Environment, Jinan
University, Guangzhou, 510632, China
Uwe Kuhn
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
Guangsheng Zhou
Gucheng Agro-Meteorological Field Scientific Experiment Base, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Pingqing Fu
Institute of Surface-Earth System Science, Tianjin University,
Tianjin, 300072, China
Qiang Zhang
Department of Earth System Science, Tsinghua University, Beijing,
100084, China
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
State Environmental Protection Key Laboratory of Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai, 200233, China
Yafang Cheng
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
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Cited
9 citations as recorded by crossref.
- Prediction of CCN spectra parameters in the North China Plain using a random forest model M. Liang et al. 10.1016/j.atmosenv.2022.119323
- Ultrafine particles in urban settings: A combined study of volatility and effective density revealed by VT-DMA-APM C. Wu et al. 10.1016/j.atmosenv.2023.120054
- Adequate Consideration of Aerosol Hygroscopicity is Crucial for Evaluating Its Respiratory Deposition and Related Health Impacts J. Hong et al. 10.1021/acs.est.5c02467
- Microphysical characteristics of black carbon from various emission sources H. Liu et al. 10.1016/j.atmosenv.2023.119825
- Size-fractionated ambient particulate matter induce toxicity: Oxidative potential, cytotoxic effect and inflammatory potential R. Roy et al. 10.1016/j.atmosenv.2023.120032
- High-accuracy effective density measurements of sodium methanesulfonate and aminium chloride nanoparticles using a particulate calibration standard V. Perraud et al. 10.1080/02786826.2023.2176739
- Characterization of size-resolved effective density of atmospheric particles in an urban atmosphere in Southern China T. Xie et al. 10.1016/j.jes.2023.09.021
- Measurement report: Size-resolved particle effective density measured by an AAC-SMPS and implications for chemical composition Y. Song et al. 10.5194/acp-25-4755-2025
- An automated size and time-resolved aerosol collector platform integrated with environmental sensors to study the vertical profile of aerosols Z. Cheng et al. 10.1039/D2EA00097K
9 citations as recorded by crossref.
- Prediction of CCN spectra parameters in the North China Plain using a random forest model M. Liang et al. 10.1016/j.atmosenv.2022.119323
- Ultrafine particles in urban settings: A combined study of volatility and effective density revealed by VT-DMA-APM C. Wu et al. 10.1016/j.atmosenv.2023.120054
- Adequate Consideration of Aerosol Hygroscopicity is Crucial for Evaluating Its Respiratory Deposition and Related Health Impacts J. Hong et al. 10.1021/acs.est.5c02467
- Microphysical characteristics of black carbon from various emission sources H. Liu et al. 10.1016/j.atmosenv.2023.119825
- Size-fractionated ambient particulate matter induce toxicity: Oxidative potential, cytotoxic effect and inflammatory potential R. Roy et al. 10.1016/j.atmosenv.2023.120032
- High-accuracy effective density measurements of sodium methanesulfonate and aminium chloride nanoparticles using a particulate calibration standard V. Perraud et al. 10.1080/02786826.2023.2176739
- Characterization of size-resolved effective density of atmospheric particles in an urban atmosphere in Southern China T. Xie et al. 10.1016/j.jes.2023.09.021
- Measurement report: Size-resolved particle effective density measured by an AAC-SMPS and implications for chemical composition Y. Song et al. 10.5194/acp-25-4755-2025
- An automated size and time-resolved aerosol collector platform integrated with environmental sensors to study the vertical profile of aerosols Z. Cheng et al. 10.1039/D2EA00097K
Latest update: 22 May 2025
Short summary
This study characterizes size-resolved particle effective densities and their evolution associated with emissions and aging processes in a rural area of the North China Plain. Particle effective density exhibits a high-frequency bimodal distribution, and two density modes exhibit opposite trends with increasing particle size. SIA and BC mass fractions are key factors of particle effective density, and a value of 0.6 g cm−3 is appropriate to represent BC effective density in bulk particles.
This study characterizes size-resolved particle effective densities and their evolution...
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