中文关键词PM_2.5空气质量气象条件后向轨迹潜在源分析 英文关键词PM_2.5air qualityweather conditionbackward trajectoriespotential source analysis

作者	单位	E-mail
郭蒙蒙	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001	mengmengguo2017@163.com
姜楠	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001	jiangn@zzu.edu.cn
王申博	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001
段时光	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001
张瑞芹	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001	rqzhang@zzu.edu.cn

中文摘要 根据郑州市2014~2017年大气主要污染物和气象数据的在线监测数据，分析了各污染物的浓度水平、季节变化、比值特征及气象条件影响.结果表明，2014~2017年郑州市大气中PM_2.5和PM₁₀的年均质量浓度分别为（88.1±49.8）、（95.8±60.2）、（78.6±70.3）、（72.0±53.5）μg·m^-3和（158.5±65.3）、（167.7±82.6）、（144.5±91.5）、（132.7±70.3）μg·m^-3，均超过我国年度二级标准限值的两倍左右.4年来，郑州市空气质量虽有所改善，但颗粒污染问题仍旧没有从根本上解决，且夏季O_3-8h超标问题日益突出.利用特征比值法进行来源判断，结果表明燃烧源和二次生成是郑州市大气中PM_2.5的主要贡献源，其中燃煤的贡献逐年下降，移动源的贡献逐年上升.此外，低风速、高湿度和降水少是造成大气污染严重的重要气象因素.利用潜在源贡献因子法（PSCF）和浓度权重轨迹法（CWT）分析了郑州市PM_2.5潜在来源分布及其贡献特征，结果表明，PM_2.5污染源区主要分布在河南省内的周边城市以及山西南部、陕西东部、湖北北部、山东西北部、河北南部等相邻省份，其中，近距离传输对郑州市PM_2.5的质量浓度贡献更为显著. 英文摘要 Online monitoring data of atmospheric pollutants and meteorological parameters in Zhengzhou from 2014 to 2017 were collected to analyze the concentration levels, seasonal variations, and the ratio characteristics of atmospheric pollutants, as well as the effects of meteorological conditions on these pollutants. Results show that the annual average concentrations of PM_2.5 and PM₁₀ in the four years were (88±49.8), (95.8±60.2), (78.6±70.3), and (72.0±53.5) μg·m^-3, and (158.5±65.3), (167.7±82.6), (144.5±91.5), and (132.7±70.3) μg·m^-3, respectively, and were approximately two times higher than the grade Ⅱ annual limits set by China. Fuel combustion and the formation of secondary pollutants were the main sources of PM_2.5 in Zhengzhou. Moreover, the contribution of coal combustion was found to be decreased, while that of traffic sources increased year by year. Low wind speed, high humidity, and reduced precipitation are important meteorological factors that contribute to serious air pollution. In addition, the Potential Source Contribution Function and the Concentration-Weighted Trajectory were used to analyze the potential sources, and the contribution of these sources to the distribution of PM_2.5. The potential source areas of PM_2.5 were mainly distributed in neighboring cities and provinces, such as Shanxi, Shaanxi, Hubei, Shandong, and Hebei. The short-distance transmission was found to contribute significantly to the mass concentration of PM_2.5.

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