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兰州市PM2.5中多环芳烃的污染特征和来源解析
摘要点击 1310  全文点击 360  投稿时间:2022-11-30  修订日期:2023-01-06
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中文关键词  PM2.5  多环芳烃(PAHs)  源解析  聚类分析  潜在来源因子分析(PSCF)
英文关键词  PM2.5  polycyclic aromatic hydrocarbons(PAHs)  source apportionment  cluster analysis  potential source contribution function(PSCF)
作者单位E-mail
马可婧 甘肃省环境监测中心站, 兰州 730000 kejing_ma@126.com 
孙丽娟 甘肃省环境监测中心站, 兰州 730000 sunlijuan19871010@126.com 
中文摘要
      为了明确兰州市PM2.5中16种多环芳烃(PAHs)的污染特征和来源,采集了兰州市4个季节的PM2.5样品,运用气相色谱-质谱联用仪(GC-MS)对PAHs的浓度进行了分析,利用正定矩因子分解法(PMF)、聚类分析和潜在源因子分析法(PSCF)对PAHs的来源进行解析.结果表明,兰州市PM2.5ρ(PAHs)均值为:冬季[(118±16.2) ng·m-3]>秋季[(50.8±21.6) ng·m-3]>春季[(22.2±8.87) ng·m-3]>夏季[(4.65±1.32) ng·m-3].相关性分析表明,兰州市PM2.5和TPAHs均与温度呈现极显著的负相关性,与气压呈现极显著的正相关性,与风向、风速和相对湿度的相关性较差.各环PAHs在4个季节的占比相似,其中4环和5环的PAHs占比为最大,其次为6环和2~3环.兰州市PM2.5中PAHs的主要来源在春夏季为工业排放和生物质及天然气燃烧,秋季工业排放占主导地位,冬季主要为燃煤排放,交通排放在4个季节的贡献比较稳定.聚类分析和PSCF计算结果表明,来自蒙古国、新疆东北部和青海等地的气流对兰州市环境空气质量有重要的影响.
英文摘要
      To study the pollution characteristics and sources of 16 PAHs in PM2.5 in Lanzhou, PM2.5 samples were collected in four seasons. GC-MS was employed to analyze the concentration of PAHs. Positive matrix factorization(PMF), trajectory cluster, and potential source contribution function(PSCF) were used to identify the sources of PAHs. The results indicated that the average concentration of PAHs in PM2.5 in Lanzhou decreased in the order of winter[(118±16.2) ng·m-3]>autumn[(50.8±21.6) ng·m-3]>spring[(22.2±8.87) ng·m-3]>summer[(4.65±1.32) ng·m-3]. The results of correlation analysis showed that PM2.5 and TPAHs in Lanzhou had an extremely significant negative correlation with temperature; an extremely significant positive correlation with atmospheric pressure; and a poor correlation with wind direction, wind speed, and relative humidity. The proportion of PAHs with 4-5 rings was much higher than that of those with 6 rings and 2-3 rings, with similar results across the four seasons. Source apportionment results illustrated that the contribution of industrial emissions and biomass and natural gas combustion were dominant in spring and summer seasons. Industrial emissions and coal combustion were dominant in autumn and winter, respectively. The vehicle emissions had no significant change across the four seasons. Trajectory cluster and PSCF analyses showed that the airflow coming from Mongolia, northeast Xinjiang, and Qinghai had important effects on the ambient air quality in Lanzhou.

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