| 郑州市少数民族运动会期间O3及VOCs污染特征的演变和评估 |
| 摘要点击 2069 全文点击 666 投稿时间：2020-02-22 修订日期：2020-04-16 |
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| 中文关键词 民族运动会(NTGEM) 空气质量 臭氧(O3) 挥发性有机物(VOCs) 源解析 |
| 英文关键词 National Traditional Games of Ethnic Minorities (NTGEM) air quality O3 volatile organic compounds(VOCs) source apportionment |
| 作者 | 单位 | E-mail | | 赵金帅 | 郑州大学化学学院, 环境科学研究院, 郑州 450001 | zhaojinshuaia@163.com | | 于世杰 | 郑州大学化学学院, 环境科学研究院, 郑州 450001 | | | 王楠 | 河南省环境监测中心, 郑州 450000 | | | 马双良 | 河南省环境监测中心, 郑州 450000 | | | 王维思 | 河南省环境监测中心, 郑州 450000 | | | 尹沙沙 | 郑州大学化学学院, 环境科学研究院, 郑州 450001 | | | 李一丹 | 郑州大学化学学院, 环境科学研究院, 郑州 450001 | | | 张栋 | 郑州大学化学学院, 环境科学研究院, 郑州 450001 | | | 张瑞芹 | 郑州大学化学学院, 环境科学研究院, 郑州 450001 | rqzhang@zzu.edu.cn |
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| 中文摘要 |
| 基于近地面观测的常规污染六参数、气象数据和在线VOCs数据，以臭氧及其前体物VOCs为研究重点，评估了民运会期间采取的污染管控措施对郑州市空气质量的影响.结果表明，2019年民运会管控期间污染物六参数相较上年同期均呈现降低趋势，其中PM2.5和PM10浓度分别降低了16.2%和25.1%，但是臭氧日最大8 h浓度均值的降幅仅为3.7%，且臭氧为首要污染物的天数超过90%.就臭氧前体物VOCs而言，民运会期间PAMS浓度（26.21×10-9）低于历史同期；利用PMF模型解析出6个因子，依次为机动车尾气（28%）、LPG（21%）、燃烧（16%）、工业（15%）、溶剂（15%）和植物排放（5%）；空气保障期间，对燃烧源和工业源的管控较为明显. |
| 英文摘要 |
| During the National Traditional Games of Ethnic Minorities (NTGEM) 2019, air quality in Zhengzhou was analyzed to evaluate the impact of pollution prevention and control measures on Zhengzhou. Ground-observed meteorological and pollutant data as well as the chemical compositions of volatile organic compounds (VOCs) were investigated. The results showed that the six parameters of pollutants in the safeguard period in 2019 indicated a downward trend as compared with that during the same time in 2018, and the average concentrations of PM2.5 and PM10 were decreased by 16.2% and 25.1%, respectively. However, the average concentration of O3 was only reduced by 3.7%. The daily proportions of primary pollutants of O3 increased to 90% during the NTGEM, and the ozone pollution was severe in this period. Meanwhile, the concentration of total volatile organic compounds (TVOCs) in the safeguard period was 26.21×10-9, which was significantly lower than that during the historical period. Six emission sources of the VOCs were identified using PMF model, including vehicle exhaust (28%), LPG evaporation (21%), combustion source (16%), industrial emissions (15%), solvent utilization (15%), and biogenic VOCs (5%). During the NTGEM period, the control of combustion sources and industrial sources was evident. |
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