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[北京城区夏季挥发性有机物特征分析及来源解析]

[Characteristic Analysis and Source Apportionment of VOCs in Urban Areas of Beijing in Summer].

作者信息

Meng Xiang-Lai, Sun Yang, Liao Ting-Ting, Zhang Chen, Zhang Cheng-Ying

机构信息

Innovation Transformation Base, Institute of Atmospheric Physics, Huainan 232000, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Huan Jing Ke Xue. 2022 Sep 8;43(9):4484-4496. doi: 10.13227/j.hjkx.202112041.

Abstract

Refined characterization of volatile organic compound (VOCs) components and source apportionment can provide scientific and effective support for ozone (O) pollution prevention and control. Using hourly-resolution VOCs online data monitored at urban sites in Beijing from July to August in 2020, the chemical characteristics of VOCs and ozone formation potential (OFP) in environmental receptors during high and low ozone concentration periods were analyzed, and refined source apportionment was conducted with a positive matrix factorization (PMF) model. The results showed that the average [total volatile organic compounds (TVOCs)] at the monitoring sites during the observation period was 12.65×10, and the (TVOCs) during the high and low ozone concentration periods were 13.44×10 and 12.33×10, respectively, with an OFP of 107.6 μg·mand 99.2 μg·m, respectively. Ozone production was controlled by VOCs, with the highest reactivity of aromatic hydrocarbons and the top three species contributing to OFP being isoprene, toluene, and -xylene. The main sources of VOCs in environmental receptors during low O periods included vehicular emissions (26.4%), background emissions (15.7%), solvent using (13.0%), auto repair (12.8%), secondary generation sources (9.7%), biomass combustion (6.1%), printing industry (5.7%), LNG-fueled vehicles (5.5%), and vegetation emissions (5.0%), of which background emissions, secondary generation, and printing industry sources have been little discussed in recent studies of VOCs source apportionment in Beijing. The contribution of auto repair sources and secondary generation sources increased by 3.4% and 2.6%, respectively, during the high O periods compared to those during the low O periods, and vehicular emissions remained the most significant source of VOCs contribution in the urban area of Beijing. Vegetation emissions rose from 07:00 pm and reach a maximum in the late afternoon. The contribution of background emission sources was less variable; vehicular emissions and LNG-fueled vehicle sources showed a morning and evening peak, with a relatively low contribution in the afternoon.

摘要

挥发性有机化合物(VOCs)成分的精细表征和源解析可为臭氧(O)污染防治提供科学有效的支持。利用2020年7月至8月在北京城区站点监测的小时分辨率VOCs在线数据,分析了高、低臭氧浓度时段环境受体中VOCs的化学特征和臭氧生成潜势(OFP),并采用正定矩阵因子分解(PMF)模型进行精细源解析。结果表明,观测期间监测站点的平均[总挥发性有机化合物(TVOCs)]为12.65×10,高、低臭氧浓度时段的(TVOCs)分别为13.44×10和12.33×10,OFP分别为107.6 μg·m和99.2 μg·m。臭氧生成受VOCs控制,芳烃反应活性最高,对OFP贡献最大的前三种物质为异戊二烯、甲苯和二甲苯。低O时段环境受体中VOCs的主要来源包括机动车排放(26.4%)、背景排放(15.7%)、溶剂使用(13.0%)、汽车维修(12.8%)、二次生成源(9.7%)、生物质燃烧(6.1%)、印刷业(5.7%)、液化天然气(LNG)燃料车辆(5.5%)和植被排放(5.0%),其中背景排放、二次生成和印刷业源在近期北京VOCs源解析研究中鲜有讨论。与低O时段相比,高O时段汽车维修源和二次生成源的贡献分别增加了3.4%和2.6%,机动车排放仍是北京城区VOCs贡献的最主要来源。植被排放从下午7点开始上升,在傍晚达到最大值。背景排放源的贡献变化较小;机动车排放和LNG燃料车辆源呈现早晚高峰,下午贡献相对较低。

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