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Environ Pollut
Title: | "Characterization and sources of volatile organic compounds (VOCs) and their related changes during ozone pollution days in 2016 in Beijing, China" |
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Author(s): | Liu Y; Song M; Liu X; Zhang Y; Hui L; Kong L; Zhang Y; Zhang C; Qu Y; An J; Ma D; Tan Q; Feng M; |
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Address: | "State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. Electronic address: lxgstar@126.com. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China. Appraisal Center for Environment & Engineering, Ministry of Environment and Ecology, Beijing 100012, China. Chengdu Academy of Environmental Sciences, Chengdu, 610072, China" |
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Journal Title: | Environ Pollut |
Year: | 2020 |
Volume: | 20191109 |
Issue: | |
Page Number: | 113599 - |
DOI: | 10.1016/j.envpol.2019.113599 |
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ISSN/ISBN: | 1873-6424 (Electronic) 0269-7491 (Linking) |
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Abstract: | "Concentrations of 99 volatile organic compounds (VOCs) were continuously measured online at an urban site in Beijing, China, in January, April, July, and October 2016. Characterization and sources of VOCs and their related changes during days with heavy ozone (O(3)) pollution were analysed. The total observed concentration of VOCs (TVOCs) was 44.0 +/- 28.9 ppbv. The VOC pollution level has decreased in Beijing but remains higher than in other Chinese cities. Alkanes comprised the highest proportion among seven major sampled VOC groups. The concentrations and sources of ambient VOCs showed obvious temporal variations. Six emission sources were identified by the positive matrix factorization (PMF), including biomass burning, coal combustion, gasoline vehicles, diesel vehicles, solvent usage, and biogenic + secondary emissions. The combustion source was the key control factor for VOC reduction in Beijing. From the potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) model, Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia, Shandong, and Henan were identified as major potential source regions of ambient VOCs. O(3) formation was sensitive to VOCs in Beijing according to the VOC/NOx ratio (ppbC/ppbv, 8:1 threshold). High- and low-O(3) days in July were identified, and high O(3) levels were due to both enhanced VOC emission levels and meteorological conditions favourable to the production of O(3). These findings provide evidence that the fuel combustion and regional transport have a great impact on concentrations and sources of VOCs in urban Beijing" |
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Keywords: | Air Pollutants/analysis Beijing *Environmental Monitoring Ozone/*analysis Vehicle Emissions/analysis Volatile Organic Compounds/*analysis/chemistry Ozone Source apportionment Source regions VOCs; |
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Notes: | "MedlineLiu, Yafei Song, Mengdi Liu, Xingang Zhang, Yuepeng Hui, Lirong Kong, Liuwei Zhang, Yingying Zhang, Chen Qu, Yu An, Junling Ma, Depeng Tan, Qinwen Feng, Miao eng England 2019/12/05 Environ Pollut. 2020 Feb; 257:113599. doi: 10.1016/j.envpol.2019.113599. Epub 2019 Nov 9" |
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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.
Page created on 22-11-2024
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