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Sci Total Environ
Title: | "PM(2.5) and O(3) relationships affected by the atmospheric oxidizing capacity in the Yangtze River Delta, China" |
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Author(s): | Qin M; Hu A; Mao J; Li X; Sheng L; Sun J; Li J; Wang X; Zhang Y; Hu J; |
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Address: | "Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100816, China. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100816, China; Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing 100871, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen 361021, China. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: jianlinhu@nuist.edu.cn" |
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Journal Title: | Sci Total Environ |
Year: | 2022 |
Volume: | 20211210 |
Issue: | |
Page Number: | 152268 - |
DOI: | 10.1016/j.scitotenv.2021.152268 |
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ISSN/ISBN: | 1879-1026 (Electronic) 0048-9697 (Linking) |
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Abstract: | "The atmospheric oxidizing capacity (AOC), reflecting the self-cleansing capacity of the atmosphere, plays an important role in the chemical evolution of secondary fine particulate matter (PM(2.5)) and ozone (O(3)). In this work, the AOC and its relationships with PM(2.5) and O(3) were investigated with a chemical transport model (CTM) in the Yangtze River Delta (YRD) region during the four seasons of 2017. The region-wide average AOC is ~4.5x10(-4) min(-1) in summer and ~ 6.4x10(-5) min(-1) in winter. Hydroxyl (OH) radicals oxidation contributes 55-69% to the total AOC, followed by nitrate (NO(3)) radicals and O(3) (accounting for 19-34% and < 10%, respectively). The AOC attains a strong positive correlation with the O(3) level in all seasons. However, it is weakly or insignificantly correlated with PM(2.5) except in summer. Additionally, AOCx(SO(2) + NO(2) + volatile organic compound (VOC)) is well correlated with the PM(2.5) level, and high levels of precursors counteract lower AOC values in cold seasons. Collectively, the results indicate that the abundance of precursors could drive secondary aerosol formation in winter, and aqueous or heterogeneous reactions (not considered in the AOC estimates) are likely of importance at high aerosol loadings in the YRD. The relationship between the daily PM(2.5) and O(3) levels is affected by the AOC magnitude. PM(2.5) and O(3) are strongly correlated when the AOC is relatively high, but PM(2.5) is independent of O(3) under low-AOC (<6.6x10(-5) min(-1), typically in winter) conditions. This work reveals the dependence of PM(2.5)-O(3) relationships on the AOC, suggesting that joint PM(2.5) and O(3) reduction could be realized at moderate to high AOC levels, especially in spring and autumn when the cooccurrence of high O(3) and PM(2.5) events is frequently observed" |
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Keywords: | *Air Pollutants/analysis *Air Pollution/analysis China Environmental Monitoring Oxidation-Reduction Particulate Matter/analysis Rivers Seasons Atmospheric oxidizing capacity Chemical transport model PM(2.5)-O(3) relationships Yangtze River Delta (YRD); |
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Notes: | "MedlineQin, Momei Hu, Anqi Mao, Jianjiong Li, Xun Sheng, Li Sun, Jinjin Li, Jingyi Wang, Xuesong Zhang, Yuanhang Hu, Jianlin eng Netherlands 2021/12/14 Sci Total Environ. 2022 Mar 1; 810:152268. doi: 10.1016/j.scitotenv.2021.152268. Epub 2021 Dec 10" |
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
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