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« Previous Abstract"Aroma effects of key volatile compounds in Keemun black tea at different grades: HS-SPME-GC-MS, sensory evaluation, and chemometrics"    Next AbstractExtreme value analyses of VOC exposures and risks: A comparison of RIOPA and NHANES datasets »

J Environ Manage


Title:Contributions of local emissions and regional background to summertime ozone in central China
Author(s):Su F; Xu Q; Yin S; Wang K; Liu G; Wang P; Kang M; Zhang R; Ying Q;
Address:"College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China. Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China. Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, 200438, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, 200438, China. Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China. Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China. Electronic address: rqzhang@zzu.edu.cn. Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, 77843-3136, USA. Electronic address: qying@civil.tamu.edu"
Journal Title:J Environ Manage
Year:2023
Volume:20230403
Issue:
Page Number:117778 -
DOI: 10.1016/j.jenvman.2023.117778
ISSN/ISBN:1095-8630 (Electronic) 0301-4797 (Linking)
Abstract:"Source contributions and regional transport of maximum daily average 8-h (MDA8) O(3) during a high O(3) month (June 2019) in Henan province in central China are explored using a source-oriented Community Multiscale Air Quality (CMAQ) model. The monthly average MDA8 O(3) exceeds approximately 70 ppb in more than half of the areas and shows a clear spatial gradient, with lower O(3) concentrations in the southwest and higher in the northeast. Significant contributions of anthropogenic emissions to monthly average MDA8 O(3) concentrations of more than 20 ppb are predicted in the provincial capital Zhengzhou, mostly due to emissions from the transportation sector ( approximately 50%) and in the areas in the north and northeast regions where industrial and power generation-related emissions are high. Biogenic emissions in the region only contribute to approximately 1-3 ppb of monthly average MDA8 O(3). In industrial areas north of the province, their contributions reach 5-7 ppb. Two CMAQ-based O(3)-NO(x)-VOCs sensitivity assessments (the local O(3) sensitivity ratios based on the direct decoupled method and the production ratio of H(2)O(2) to HNO(3)) and the satellite HCHO to NO(2) column density ratio consistently show that most of the areas in Henan are in NO(x)-limited regime. In contrast, the high O(3) concentration areas in the north and at the city centers are in the VOC-limited or transition regimes. The results from this study suggest that although reducing NO(x) emissions to reduce O(3) pollution in the region is desired in most areas, VOC reductions must be applied to urban and industrial regions. Source apportionment simulations with and without Henan anthropogenic emissions show that the benefit of local anthropogenic NO(x) reduction might be lower than expected from the source apportionment results because the contributions of Henan background O(3) increase in response to the reduced local anthropogenic emissions due to less NO titration. Thus, collaborative O(3) controls in neighboring provinces are needed to reduce O(3) pollution problems in Henan effectively"
Keywords:*Air Pollutants/analysis *Air Pollution/statistics & numerical data China Environmental Monitoring/methods Hydrogen Peroxide *Ozone/analysis Volatile Organic Compounds/analysis Emission control O(3) precursor sensitivity Regional transport Source apportio;
Notes:"MedlineSu, Fangcheng Xu, Qixiang Yin, Shasha Wang, Ke Liu, Guangjin Wang, Peng Kang, Mingjie Zhang, Ruiqin Ying, Qi eng England 2023/04/06 J Environ Manage. 2023 Jul 15; 338:117778. doi: 10.1016/j.jenvman.2023.117778. Epub 2023 Apr 3"

 
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