Knowledge Management System Of Guangzhou Institute of Geochemistry，CAS
Chen, Wei1,2,3,4,5; Hu, Weiwei1,2,4,5,6 ; Tao, Zi1,2,3,4,5; Cai, Yiyu1,2,3,4,5; Cai, Mingfu7; Zhu, Ming1,2,3,4,5; Ye, Yuqing8; Zhou, Huaishan1,2,3,4,5; Jiang, Hongxing1,2,3,4,5; Li, Jun1,2,4,5; Song, Wei1,2,4,5; Zhou, Jiayi9; Huang, Shan10; Yuan, Bin10; Shao, Min10; Feng, Qiandan11; Li, Ying12; Isaacman-VanWertz, Gabriel13; Stark, Harald14,15,16; Day, Douglas A.14,15; Campuzano-Jost, Pedro14,15; Jimenez, Jose L.14,15; Wang, Xinming1,2,3,4,5
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| Quantitative Characterization of the Volatility Distribution of Organic Aerosols in a Polluted Urban Area: Intercomparison Between Thermodenuder and Molecular Measurements | |
| Source Publication | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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| ISSN | 2169-897X |
| 2024-02-28 | |
| Volume | 129Issue:4Pages:25 |
| DOI | 10.1029/2023JD040284 |
| Language | 英语 |
| WOS Research Area | Meteorology & Atmospheric Sciences |
| Abstract | To quantify the volatility of organic aerosols (OA), a comprehensive campaign was conducted in the Chinese megacity. Volatility distributions of OA and particle-phase organic nitrate (pON) were estimated based on five methods: (a) empirical method and (b) kinetic model based on the measurement of a thermodenuder (TD) coupled with an aerosol mass spectrometer; (c) Formula-based SIMPOL model-driven method; (d) Element-based estimations using molecular formula measurements of OA; and (e) gas/particle partitioning. Our results demonstrate that the ambient OA volatility distribution shows good agreement between the two heating methods and the formula-based method when assuming ambient OA was mainly composed of organic nitrate (pON), organic sulfate and acid groups using the SIMPOL model. However, the element-based method tends to overestimate the volatility of OA compared to the above three methods, suggesting large uncertainties in the parameterizations or in the representativeness of the molecular measurements that need further refinement. The volatility of ambient OA is generally lower than that of the laboratory-derived secondary OA, emphasizing the impact of aging. A large fraction at the higher and lower volatility ranges (approximately log C* <= -9 and >= 2 mu g m-3) was found for pON, implying the importance of both extremely low volatile and semi-volatile species. Overall, this study evaluates different methods for volatility estimation and gives new insight into the volatility of OA and pON in urban areas. Volatility, which controls the gas/particle partitioning of organic compounds, is one of most the important physiochemistry properties of organic aerosols (OA). Multiple methods have been used to estimate OA volatility, whereas the accuracy of each method is still unclear. The purpose of this study is to verify the volatility of ambient OA and its key component (i.e., particulate organic nitrate, pON) in urban areas by comparing the estimated results using different methods. With the help of state-of-art mass spectrometers, the estimation methods, including two heating methods, one formula-based method, one element-based method, and one gas/particle partitioning method, were achieved. In general, we found the heating methods show good agreement with the formula-based method with a reasonable assumption of functional groups contained in OA and pON. In general, we observed a large faction of extremely low volatile compounds exist in OA (30%-40%), and both extremely low volatile and semi-volatile species exist in pON, suggesting the complex evolution of atmospheric particles. The results provide a better understanding of the volatility of OA and pON in urban areas and benefit accurate volatility estimation that facilitates the model simulations of OA. The volatility of ambient organic aerosols (OA) and organic nitrate (pON) estimated from five methods were systematically compared The OA volatility from SIMPOL-driven model under organic sulfate, pON and acid assumption are consistent with those from heating method The volatility distribution of pON indicates both extremely low volatility compounds as oligomers and semi-volatile species exist in pON |
| Keyword | volatility organic aerosols particle-phase organic nitrate thermodenuder SIMPOL gas/particle partitioning formula/element-based method |
| WOS ID | WOS:001168078600001 |
| Indexed By | SCI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.gig.ac.cn/handle/344008/77082 |
| Collection | 有机地球化学国家重点实验室 |
| Corresponding Author | Hu, Weiwei |
| Affiliation | 1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou, Peoples R China 2.CAS Ctr Excellence Deep Earth Sci, Guangzhou, Peoples R China 3.Chinese Acad Sci Univ, Beijing, Peoples R China 4.Chinese Acad Sci, Guangzhou Inst Geochem, Joint Lab Environm Pollut & Control, Guangzhou, Peoples R China 5.Chinese Acad Sci, Guangdong Prov Key Lab Environm Protect & Resource, Guangzhou, Peoples R China 6.Shanghai Acad Environm Sci, Shanghai, Peoples R China 7.South China Inst Environm Sci, Guangdong Prov Engn Lab Air Pollut Control, Guangdong Prov Key Lab Water & Air Pollut Control, MEE, Guangzhou, Peoples R China 8.Xichang Satellite Launch Ctr, Xichang, Peoples R China 9.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equipm, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China 10.Jinan Univ, Inst Environm & Climate Res, Guangzhou, Peoples R China 11.Zhongkai Univ Agr & Engn, Coll Resource & Environm, Guangzhou, Peoples R China 12.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing, Peoples R China 13.Virginia Tech, Dept Civil & Environm Engn, Blacksburg, VA USA 14.Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO USA 15.Univ Colorado, Dept Chem, Boulder, CO USA 16.Aerodyne Res Inc, Billerica, MA USA |
| Recommended Citation GB/T 7714 | Chen, Wei,Hu, Weiwei,Tao, Zi,et al. Quantitative Characterization of the Volatility Distribution of Organic Aerosols in a Polluted Urban Area: Intercomparison Between Thermodenuder and Molecular Measurements[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2024,129(4):25. |
| APA | Chen, Wei.,Hu, Weiwei.,Tao, Zi.,Cai, Yiyu.,Cai, Mingfu.,...&Wang, Xinming.(2024).Quantitative Characterization of the Volatility Distribution of Organic Aerosols in a Polluted Urban Area: Intercomparison Between Thermodenuder and Molecular Measurements.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,129(4),25. |
| MLA | Chen, Wei,et al."Quantitative Characterization of the Volatility Distribution of Organic Aerosols in a Polluted Urban Area: Intercomparison Between Thermodenuder and Molecular Measurements".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 129.4(2024):25. |
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