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保定市PM2.5形貌特征、有机物污染水平及来源识别

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于泊蕖, 王永慧, 刘芃岩, 杨金新, 张瑞瑞, 甄一尘. 保定市PM2.5形貌特征、有机物污染水平及来源识别[J]. 环境化学, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
引用本文: 于泊蕖, 王永慧, 刘芃岩, 杨金新, 张瑞瑞, 甄一尘. 保定市PM2.5形貌特征、有机物污染水平及来源识别[J]. 环境化学, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
shu
YU Boqu, WANG Yonghui, LIU Pengyan, YANG Jinxin, ZHANG Ruirui, ZHEN Yichen. Microscopic morphology, organic pollution level and source identification of PM2.5 in Baoding City[J]. Environmental Chemistry, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
Citation: YU Boqu, WANG Yonghui, LIU Pengyan, YANG Jinxin, ZHANG Ruirui, ZHEN Yichen. Microscopic morphology, organic pollution level and source identification of PM2.5 in Baoding City[J]. Environmental Chemistry, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
shu

保定市PM2.5形貌特征、有机物污染水平及来源识别

  • 1.

    河北大学化学与环境科学学院, 保定, 071002

  • 基金项目:

    国家自然科学基金（21377033）和河北省教育厅重点项目（ZD20131046）资助.

Microscopic morphology, organic pollution level and source identification of PM2.5 in Baoding City

  • 1.

    College of Chemistry and Environmental Science, Hebei University, Baoding, 071002, China

  • Fund Project: Supported by the National Natural Science Foundation of China (21377033) and the Key Project of Hebei Education Department (ZD20131046).

  • 摘要: 在高倍数冷场扫描电镜下对PM2.5样品进行了微观形貌特征分析，发现其组成以烟尘集合体及飞灰为主；并以气相色谱-质谱联用技术为检测手段，对保定市雾霾高发期内（2015年11月-2016年3月）不同污染程度下PM2.5样品上的有机污染物进行了定性定量分析，结果共检测到有机污染物83种，主要为正构烷烃类15种（0.02-1154.49 μg·g-1）、优先监测PAHs类12种（2.36-945.17 μg·g-1），其余为酞酸酯、醛、酮及苯系物等；通过PM2.5质量浓度、冷场扫描电镜微观形貌图像及样品上的有机污染物定性定量等测定结果的分析，对保定市城区雾霾高发期PM2.5上污染物来源进行了解析.
    Abstract: The micromorphology of PM2.5 was analyzed by the high magnification scanning electron microscopy (SEM). Results showed that soot aggregate and fly ash were the main pollutants. In addition, using GC-MS hyphenated techniques, 12 groups of PM2.5 samples collected in Baoding city during heavy haze period (Nov. 2015-Mar. 2016) with different pollution levels were qualitatively and quantitatively analyzed. The results showed that 83 organic compounds were detected with 15 n-alkanes (0.02-1154.49 μg·g-1) and 12 PAHs (2.36-945.17 μg·g-1) being the major conpounds. The others were phthalate esters, aldehydes, ketones, benzene series etc. According to the mass concentration, micromorphology of PM2.5 combined with qualitative and quantitative analysis results of the organic pollutants on PM2.5 samples, the sources of pollutants on PM2.5 from Baoding city was analyzed.
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  • 收稿日期:  2016-06-08
  • 刊出日期:  2017-02-15
于泊蕖, 王永慧, 刘芃岩, 杨金新, 张瑞瑞, 甄一尘. 保定市PM2.5形貌特征、有机物污染水平及来源识别[J]. 环境化学, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
引用本文: 于泊蕖, 王永慧, 刘芃岩, 杨金新, 张瑞瑞, 甄一尘. 保定市PM2.5形貌特征、有机物污染水平及来源识别[J]. 环境化学, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
shu
YU Boqu, WANG Yonghui, LIU Pengyan, YANG Jinxin, ZHANG Ruirui, ZHEN Yichen. Microscopic morphology, organic pollution level and source identification of PM2.5 in Baoding City[J]. Environmental Chemistry, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
Citation: YU Boqu, WANG Yonghui, LIU Pengyan, YANG Jinxin, ZHANG Ruirui, ZHEN Yichen. Microscopic morphology, organic pollution level and source identification of PM2.5 in Baoding City[J]. Environmental Chemistry, 2017, 36(2): 241-247. doi: 10.7524/j.issn.0254-6108.2017.02.2016060801
shu

保定市PM2.5形貌特征、有机物污染水平及来源识别

  • 1. 河北大学化学与环境科学学院, 保定, 071002
  • 收稿日期:  2016-06-08
基金项目:

国家自然科学基金（21377033）和河北省教育厅重点项目（ZD20131046）资助.

摘要: 在高倍数冷场扫描电镜下对PM2.5样品进行了微观形貌特征分析，发现其组成以烟尘集合体及飞灰为主；并以气相色谱-质谱联用技术为检测手段，对保定市雾霾高发期内（2015年11月-2016年3月）不同污染程度下PM2.5样品上的有机污染物进行了定性定量分析，结果共检测到有机污染物83种，主要为正构烷烃类15种（0.02-1154.49 μg·g-1）、优先监测PAHs类12种（2.36-945.17 μg·g-1），其余为酞酸酯、醛、酮及苯系物等；通过PM2.5质量浓度、冷场扫描电镜微观形貌图像及样品上的有机污染物定性定量等测定结果的分析，对保定市城区雾霾高发期PM2.5上污染物来源进行了解析.

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