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中国石家庄市城区挥发性有机化合物的时间变化及来源解析。

Temporal variations and source apportionment of volatile organic compounds at an urban site in Shijiazhuang, China.

机构信息

Scshool of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China; National and Local Joint Engineering Center of Volatile Organic Compounds & Odorous Pollution Control Technology, Shijiazhuang 050018, China.

Scshool of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

出版信息

J Environ Sci (China). 2020 Nov;97:25-34. doi: 10.1016/j.jes.2020.04.022. Epub 2020 Jun 1.

DOI:10.1016/j.jes.2020.04.022
PMID:32933737
Abstract

Shijiazhuang, the city with the worst air quality in China, is suffering from severe ozone pollution in summer. As the key precursors of ozone generation, it is necessary to control the Volatile Organic Compounds (VOCs) pollution. To have a better understanding of the pollution status and source contribution, the concentrations of 117 ambient VOCs were analyzed from April to August 2018 in an urban site in Shijiazhuang. Results showed that the monthly average concentration of total VOCs was 66.27 ppbv, in which, the oxygenated VOCs (37.89%), alkanes (33.89%), and halogenated hydrocarbons (13.31%) were the main composite on. Eight major sources were identified using Positive Matrix Factorization modeling with an accurate VOCs emission inventory as inter-complementary methods revealed that the petrochemical industry (26.24%), other industrial sources (15.19%), and traffic source (12.24%) were the major sources for ambient VOCs in Shijiazhuang. The spatial distributions of major industrial activities emissions were identified by using geographic information statistics system, which illustrated the VOCs was mainly from the north and southeast of Shijiazhuang. The inverse trajectory analysis using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) and Potential Source Contribution Function (PSCF) clearly demonstrated the features of pollutant transport to Shijiazhuang. These findings can provide references for local governments regarding control strategies to reduce VOCs emissions.

摘要

中国空气质量最差的城市石家庄,夏季正遭受严重的臭氧污染。作为臭氧生成的关键前体物,控制挥发性有机化合物(VOCs)污染迫在眉睫。为了更好地了解污染状况和来源贡献,我们于 2018 年 4 月至 8 月在石家庄市的一个城区对 117 种环境 VOCs 的浓度进行了分析。结果表明,总 VOCs 的月平均浓度为 66.27 ppbv,其中含氧 VOCs(37.89%)、烷烃(33.89%)和卤代烃(13.31%)是主要的组合。采用正定矩阵因子化模型(PMF)结合准确的 VOCs 排放清单进行了 8 种主要来源的识别,作为补充方法的互校验证表明,石化工业(26.24%)、其他工业源(15.19%)和交通源(12.24%)是石家庄市大气 VOCs 的主要来源。利用地理信息统计系统识别了主要工业活动排放的空间分布,结果表明 VOCs 主要来自石家庄的北部和东南部。利用混合单粒子拉格朗日综合轨迹(HYSPLIT)和潜在源贡献函数(PSCF)进行的反向轨迹分析清楚地表明了污染物向石家庄传输的特征。这些发现可以为当地政府提供减少 VOCs 排放的控制策略参考。

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