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Chemosphere

Title:		"Characteristics and sources of volatile organic compounds during high ozone episodes: A case study at a site in the eastern Guanzhong Plain, China"
Author(s):		Hui L; Ma T; Gao Z; Gao J; Wang Z; Xue L; Liu H; Liu J;
Address:		"State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Nanjing Intelligent Environmental Science and Technology Co., Ltd., Nanjing, 211800, China. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Electronic address: gaojian@craes.org.cn. Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China. Environment Research Institute, Shandong University, Ji'nan, 250013, China"
Journal Title:		Chemosphere
Year:		2021
Volume:		20201121
Issue:
Page Number:		129072 -
DOI:		10.1016/j.chemosphere.2020.129072
ISSN/ISBN:		1879-1298 (Electronic) 0045-6535 (Linking)
Abstract:		"This study performed continuous measurements of 105 volatile organic compounds (VOCs) in Weinan in the eastern Guanzhong Plain from 1 July to September 19, 2019. Ozone (O(3)) episode and non-episode days were identified according to China Ambient Air Quality Standard, and the concentrations of total quantified VOCs (TVOCs) were 33.43 +/- 13.64 ppbv and 29.13 +/- 14.31 ppbv, respectively. During different O(3) pollution episodes, alkanes comprised the highest proportion to TVOC concentrations, while alkenes contributed the most to ozone formation potential (OFP). In addition, O(3) episode days were mainly caused by enhanced emissions of precursors and meteorological conditions favorable to O(3) production. Based on Empirical Kinetic Modelling Approach (EKMA), the O(3) formation in Weinan was found in the transitional regime, in which the synergistic reduction of VOCs and nitrogen oxide (NOx) would be more effective for O(3) reduction. Eight sources were identified by positive matrix factorization (PMF) model, with natural gas (NG)/liquefied petroleum gas (LPG) usage as the most significant contributor to VOC concentration, followed by vehicle exhaust, biomass burning, solvent usage, fuel evaporation, rubber/plastic industrial emissions, biogenic source, and mixed industrial emissions. Furthermore, rubber/plastic industrial emissions, solvent usage, fuel evaporation, and vehicle exhaust were the most significant sources to O(3) formation. Based on conditional bivariate probability function (CBPF), vehicle exhaust, fuel evaporation, and solvent usage were mainly local emissions, while other sources were mainly affected by regional transport. This study provides useful reference for research on the atmospheric photochemical formation of O(3) and evidence for regional O(3) reduction strategies"
Keywords:		*Air Pollutants/analysis China Environmental Monitoring *Ozone/analysis Photochemical Processes Vehicle Emissions/analysis *Volatile Organic Compounds/analysis Conditional bivariate probability function (CBPF) Ekma O(3)-VOC-NOx sensitivity Ozone Source ap;
Notes:		"MedlineHui, Lirong Ma, Tong Gao, Zongjiang Gao, Jian Wang, Zhe Xue, Likun Liu, Hanqing Liu, Jiayuan eng England 2020/12/11 Chemosphere. 2021 Feb; 265:129072. doi: 10.1016/j.chemosphere.2020.129072. Epub 2020 Nov 21"