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Environ Sci Technol


Title:Evolution of Ozone Pollution in China: What Track Will It Follow?
Author(s):Guo J; Zhang X; Gao Y; Wang Z; Zhang M; Xue W; Herrmann H; Brasseur GP; Wang T; Wang Z;
Address:"Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. University of Chinese Academy of Sciences, Beijing 100049, China. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China. Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China. Atmospheric Chemistry Department (ACD), Leibniz Institute for Tropospheric Research (TROPOS), Permoserstrasse 15, Leipzig 04318, Germany. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong SAR, China. Environmental Modeling Group, Max Planck Institute for Meteorology, Hamburg 20146, Germany. Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, Colorado 80307, United States. Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Kowloon 999077, Hong Kong, China"
Journal Title:Environ Sci Technol
Year:2023
Volume:20221228
Issue:1
Page Number:109 - 117
DOI: 10.1021/acs.est.2c08205
ISSN/ISBN:1520-5851 (Electronic) 0013-936X (Print) 0013-936X (Linking)
Abstract:"Increasing surface ozone (O(3)) concentrations has emerged as a key air pollution problem in many urban regions worldwide in the last decade. A longstanding major issue in tackling ozone pollution is the identification of the O(3) formation regime and its sensitivity to precursor emissions. In this work, we propose a new transformed empirical kinetic modeling approach (EKMA) to diagnose the O(3) formation regime using regulatory O(3) and NO(2) observation datasets, which are easily accessible. We demonstrate that mapping of monitored O(3) and NO(2) data on the modeled regional O(3)-NO(2) relationship diagram can illustrate the ozone formation regime and historical evolution of O(3) precursors of the region. By applying this new approach, we show that for most urban regions of China, the O(3) formation is currently associated with a volatile organic compound (VOC)-limited regime, which is located within the zone of daytime-produced O(3) (DPO(3)) to an 8h-NO(2) concentration ratio below 8.3 ([DPO(3)]/[8h-NO(2)]
Keywords:*Ozone/analysis *Air Pollutants/analysis Nitrogen Dioxide Environmental Monitoring *Air Pollution China *Volatile Organic Compounds/analysis air pollution mitigation diagnosis approach ozone formation regime ozone pollution ozone-precursor relationship;
Notes:"MedlineGuo, Jia Zhang, Xiaoshan Gao, Yi Wang, Zhangwei Zhang, Meigen Xue, Wenbo Herrmann, Hartmut Brasseur, Guy Pierre Wang, Tao Wang, Zhe eng Research Support, Non-U.S. Gov't 2022/12/29 Environ Sci Technol. 2023 Jan 10; 57(1):109-117. doi: 10.1021/acs.est.2c08205. Epub 2022 Dec 28"

 
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