中文关键词阳泉市PM_2.5污染天源解析扬尘污染 英文关键词Yangquan CityPM_2.5pollution dayssource apportionmentdust pollution

作者	单位	E-mail
王成	华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206 华北电力大学能源动力与机械工程学院, 北京 102206	wangchenghuanjing@163.com
闫雨龙	华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206	yanyulong@yeah.net
谢凯	华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206
李如梅	华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206 华北电力大学能源动力与机械工程学院, 北京 102206
徐扬	华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206 华北电力大学能源动力与机械工程学院, 北京 102206
彭林	华北电力大学环境科学与工程学院, 资源环境系统优化教育部重点实验室, 北京 102206

中文摘要 采集了阳泉市城区2017年10月15日~2018年1月23日PM_2.5样品，分析了优良天和污染天PM_2.5及其化学组分特征，并利用富集因子分析法（EF）和正定矩阵因子分析法（PMF）对PM_2.5进行来源分析.结果表明，采样期间污染天二次无机离子（SO₄^2-、NO₃^-和NH₄⁺）在PM_2.5中的比例为23.83%，是优良天的2.43倍，污染天二次无机污染严重，污染天人为源相关的元素Cd、Sb、Sn、Cu、Pb、Zn和As富集程度大于优良天；主要的污染源对PM_2.5的贡献分别是燃煤29.26%、扬尘23.83%、机动车19.34%、二次源16.01%和工业源11.57%，其中，污染天机动车排放对PM_2.5的贡献20.57%，高于优良天时17.82%，而燃煤源的贡献23.04%明显低于优良天时33.75%，静稳天气时机动车排放对PM_2.5贡献较优良天上升，燃煤源对PM_2.5贡献有下降.因此，阳泉市在秋冬季应加强对燃煤、扬尘源的控制，同时进一步加强对机动车的控制，以减少污染期间机动车的贡献. 英文摘要 PM_2.5 samples were collected from October 15, 2017 to January 23, 2018 in the Yangquan urban area. The characteristics of PM_2.5 and its main chemical components on clean and polluted days were analyzed, and source apportionment of PM_2.5 was conducted using enrichment factor analysis (EF) and positive matrix factorization (PMF). The results showed that the ratios of secondary inorganic ions (SO₄^2-, NO₃^-, and NH₄⁺) to PM_2.5 on polluted days was 23.83%, which is 2.43 times higher than that on clean days, indicating that secondary inorganic pollution was more significant on polluted days. The enrichment degree of anthropogenic elements Cd, Sb, Sn, Cu, Pb, Zn, and As on polluted days was higher than that on clean days. The results of the PMF source apportionment showed that the main sources of PM_2.5 in Yangquan are coal combustion, dust, motor vehicles, secondary aerosols, and industry, with contributions of 29.26%, 23.83%, 19.34%, 16.01%, and 11.57%, respectively. The contribution of motor vehicle emissions to PM_2.5 on polluted days is 20.57%, which is higher than that on clean days (17.82%), while the contribution of coal combustion sources to PM_2.5 on polluted days is 23.04%, which is significantly lower than that on clean days (33.75%). The stationary weather on polluted days caused the contribution of motor vehicle emissions to PM_2.5 to increase compared with on clean days, while the contribution of coal combustion sources to PM_2.5 was decreased. The results show that air pollution control should pay more attention to the control of coal combustion and dust during autumn and winter in Yangquan, and further strengthen the control of motor vehicles to reduce their contribution to pollution.

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