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On using an aerosol thermodynamic model to calculate aerosol acidity of coarse particles.
Fang, Zhengyang; Dong, Shuwei; Huang, Chengpeng; Jia, Shiguo; Wang, Fu; Liu, Haoming; Meng, He; Luo, Lan; Chen, Yizhu; Zhang, Huanhuan; Li, Rui; Zhu, Yujiao; Tang, Mingjin.
Affiliation
  • Fang Z; State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijin
  • Dong S; State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijin
  • Huang C; Longhua Center for Disease Control and Prevention of Shenzhen, Shenzhen 518109, China.
  • Jia S; School of Atmospheric Sciences and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Zhuhai 519082, China. Electronic address: jiashg3@mail.sysu.edu.cn.
  • Wang F; Longhua Center for Disease Control and Prevention of Shenzhen, Shenzhen 518109, China.
  • Liu H; Institute for Environmental and Climate Research, Jinan University, Guangzhou 510632, China.
  • Meng H; Qingdao Eco-environment Monitoring Center of Shandong Province, Qingdao 266003, China.
  • Luo L; Longhua Center for Disease Control and Prevention of Shenzhen, Shenzhen 518109, China.
  • Chen Y; State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.
  • Zhang H; State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.
  • Li R; State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.
  • Zhu Y; Environment Research Institute, Shandong University, Qingdao 266237, China.
  • Tang M; State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijin
J Environ Sci (China) ; 148: 46-56, 2025 Feb.
Article in En | MEDLINE | ID: mdl-39095180
ABSTRACT
Thermodynamic modeling is still the most widely used method to characterize aerosol acidity, a critical physicochemical property of atmospheric aerosols. However, it remains unclear whether gas-aerosol partitioning should be incorporated when thermodynamic models are employed to estimate the acidity of coarse particles. In this work, field measurements were conducted at a coastal city in northern China across three seasons, and covered wide ranges of temperature, relative humidity and NH3 concentrations. We examined the performance of different modes of ISORROPIA-II (a widely used aerosol thermodynamic model) in estimating aerosol acidity of coarse and fine particles. The M0 mode, which incorporates gas-phase data and runs the model in the forward mode, provided reasonable estimation of aerosol acidity for coarse and fine particles. Compared to M0, the M1 mode, which runs the model in the forward mode but does not include gas-phase data, may capture the general trend of aerosol acidity but underestimates pH for both coarse and fine particles; M2, which runs the model in the reverse mode, results in large errors in estimated aerosol pH for both coarse and fine particles and should not be used for aerosol acidity calculations. However, M1 significantly underestimates liquid water contents for both fine and coarse particles, while M2 provides reliable estimation of liquid water contents. In summary, our work highlights the importance of incorporating gas-aerosol partitioning when estimating coarse particle acidity, and thus may help improve our understanding of acidity of coarse particles.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thermodynamics / Aerosols / Air Pollutants / Models, Chemical Country/Region as subject: Asia Language: En Journal: J Environ Sci (China) Journal subject: SAUDE AMBIENTAL Year: 2025 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thermodynamics / Aerosols / Air Pollutants / Models, Chemical Country/Region as subject: Asia Language: En Journal: J Environ Sci (China) Journal subject: SAUDE AMBIENTAL Year: 2025 Document type: Article