Characteristics and sources of volatile organic compounds during high ozone episodes: A case study at a site in the eastern Guanzhong Plain, China

被引:52
作者
Hui, Lirong [1 ]
Ma, Tong [1 ]
Gao, Zongjiang [2 ]
Gao, Jian [1 ]
Wang, Zhe [3 ]
Xue, Likun [4 ]
Liu, Hanqing [1 ]
Liu, Jiayuan [1 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Nanjing Intelligent Environm Sci & Technol Co Ltd, Nanjing 211800, Peoples R China
[3] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
[4] Shandong Univ, Environm Res Inst, Jinan 250013, Peoples R China
基金
中国国家自然科学基金;
关键词
Volatile organic compounds (VOCs); Ozone; O-3-VOC-NOx sensitivity; EKMA; Source apportionment; Conditional bivariate probability function (CBPF); YANGTZE-RIVER DELTA; GROUND-LEVEL OZONE; NONMETHANE HYDROCARBONS NMHCS; SOURCE APPORTIONMENT; COMPOUNDS VOCS; PHOTOCHEMICAL CHARACTERISTICS; EMISSION CHARACTERISTICS; AIR-QUALITY; HONG-KONG; POLLUTION;
D O I
10.1016/j.chemosphere.2020.129072
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2020 Published by Elsevier Ltd.
引用
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页数:11
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