沈阳市PM_(2.5)污染组分特征及其来源解析
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  • 英文篇名:Characteristics of PM_(2.5) pollution components and their sources in Shenyang
  • 作者:田莎莎 ; 张显 ; 卞思思 ; 赵雪艳 ; 韩斌 ; 余浩 ; 殷宝辉 ; 陈莉 ; 白志鹏
  • 英文作者:TIAN Sha-sha;ZHANG xian;BIAN Si-si;ZHAO Xue-yan;HAN Bin;YU Hao;YIN Bao-hui;CHEN Li;BAI Zhi-peng;School of Geography and Environmental Sciences, Tianjin Normal University;Shenyang Academy of Environmental Sciences;State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences;Academy of Water Sciences, Beijing Normal University;
  • 关键词:PM_(2.5) ; 水溶性离子 ; 碳组分 ; 无机元素 ; 源解析 ; 沈阳
  • 英文关键词:PM_(2.5);;water-soluble ions;;carbonaceous species;;inorganic elements;;source apportionment;;Shenyang
  • 中文刊名:ZGHJ
  • 英文刊名:China Environmental Science
  • 机构:天津师范大学地理与环境科学学院;沈阳环境科学研究院;中国环境科学研究院环境基准与风险评估国家重点实验室;北京师范大学水科学研究院;
  • 出版日期:2019-02-20
  • 出版单位:中国环境科学
  • 年:2019
  • 期:v.39
  • 基金:国家重点研发计划(2017YFC0212501)
  • 语种:中文;
  • 页:ZGHJ201902006
  • 页数:10
  • CN:02
  • ISSN:11-2201/X
  • 分类号:41-50
摘要
为了解沈阳市空气细颗粒物的污染特征及主要来源,于2015年2月、5月、8月和10月在沈阳市采集PM_(2.5)样品,对PM_(2.5)质量浓度及其化学组分(无机元素、含碳组分和水溶性离子)进行测定.结果显示,采样期间沈阳市PM_(2.5)平均质量浓度为69μg/m3,是《环境空气质量标准》(GB3095-2012)年均二级标准限值(35μg/m~3)的2.0.水溶性离子在PM_(2.5)中的含量最高,其次为碳组分、无机元素.富集因子结果表明:沈阳市富集因子值最高的元素来自于燃煤、交通污染、工业排放等污染源.正交矩阵因子分析(PMF)结果表明:PM_(2.5)结果中燃煤源、二次源、工业源、扬尘源和交通源的贡献比分别为33.4%、27.2%、16.7%、11.5%、11.2%.
        To understand the pollution characteristics and major sources of fine particulate matterin Shenyang city, PM_(2.5) sampleswere collected at Shenyang in February, May, August and October in 2015. The mass concentration and component composition ofPM_(2.5)(inorganic elements, carbonaceous species and water-soluble ions) were analyzed. The results showed that the average massconcentration of PM_(2.5) was 69μg/m3 during the sampling period, which was 1.97 times higher than the standardary limit(35μg/m~3)regulated by of Chinese Ambient air quality standards(GB 3095~2012). For instance, the content of water-soluble ions in PM_(2.5) wasthe highest, followed by carbon fractions and inorganic elements. The enrichment factor(EF) results showed that the highest EFvalue elements came from coal burning, traffic pollution and industrial emission. The Positive Matrix Factor(PMF) model showedthat the contribution ratios of coal combustion, secondary aerosol, industrial emissions, fugitivedust and traffic emissions in PM_(2.5) were 33.37%、27.27%、16.68%、11.49% and 11.19%.
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