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关中地区细颗粒物碳组分特征及来源解析
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  • 英文篇名:Pollution Characteristics and Sources of Carbonaceous Components in PM_(2.5) in the Guanzhong Area
  • 作者:康宝荣 ; 刘立忠 ; 刘焕武 ; 李养养 ; 艾双双 ; 曹宁 ; 雷颖
  • 英文作者:KANG Bao-rong;LIU Li-zhong;LIU Huan-wu;LI Yang-yang;AI Shuang-shuang;CAO Ning;LEI Ying;School of Environmental and Municipal Engineering,Xi'an University of Architecture and Technology;Xi'an Environmental Monitoring Station;Shaanxi Environmental Monitoring Center;
  • 关键词:关中地区 ; 细颗粒物 ; 有机碳 ; 元素碳 ; 正矩阵因子分解(PMF)
  • 英文关键词:Guanzhong area;;fine particulate matter;;organic carbon;;element carbon;;positive matrix factorization (PMF)
  • 中文刊名:HJKZ
  • 英文刊名:Environmental Science
  • 机构:西安建筑科技大学环境与市政工程学院;西安市环境监测站;陕西省环境监测中心;
  • 出版日期:2019-08-07
  • 出版单位:环境科学
  • 年:2019
  • 期:v.40
  • 基金:2017年关中地区秋冬季大气颗粒物及挥发性有机物来源解析项目(2017);; 陕西省教育厅专项科研计划项目(18JK0459)
  • 语种:中文;
  • 页:HJKZ201908005
  • 页数:7
  • CN:08
  • ISSN:11-1895/X
  • 分类号:37-43
摘要
为研究关中地区细颗粒物中碳组分的污染特征及其来源,于2017年9月4日至2018年1月19日在关中地区5个主要典型城市(西安、渭南、铜川、宝鸡和咸阳)设置采样点(XA、WN、TCH、BJ和XY)进行细颗粒物(PM_(2.5))的手工采样观测,碳组分环境样品采用热光透射法(TOT)分析.结果表明,细颗粒物中OC和EC平均浓度分别为(14. 48±7. 86)μg·m~(-3)和(2. 27±0. 95)μg·m~(-3),占比分别为18. 04%和2. 99%,与其他城市相比污染较为严重.碳组分占比的空间分布为XY> WN> XA> BJ> TCH,且季节差异明显,冬季占比高于秋季. OC与EC的相关性显著(R~2=0. 79),有着较为相同的污染来源.OC1在碳组分中比例最高为23. 44%,碳组分的浓度顺序为OC1> EC2> EC3> OC4> EC1> OC2> OC3> EC4> EC6> EC5.正矩阵因子分解模型的源解析结果表明,该地区碳组分的4类主要贡献源为生物质燃烧与燃煤源、汽油车尾气、柴油车尾气和道路扬尘污染源,贡献率分别为48. 63%、23. 07%、18. 82%和9. 47%,各点位的污染贡献结构有着明显的差异.
        In order to study the pollution characteristics and sources of fine particulate matter in the Guanzhong area of China,PM_(2.5) samples were collected and observed by hand from September 4,2017 to January 19,2018 at five sites( XA,WN,TCH,BJ and XY). The carbonaceous component of these samples was analyzed by thermal-optical transmission,which showed that the average concentrations of OC and EC in the fine particulate matter were( 14. 48 ± 7. 86) μg·m~(-3) and( 2. 27 ± 0. 95) μg·m~(-3),respectively,Percentages of OC and EC were 18. 04% and 2. 99%,respectively. Compared with other cities,the measured levels of pollution in the Guanzhong areas were more severe. The spatial distribution of percentage of carbon component in PM_(2.5) was XY > WN > XA > BJ >TCH,and the concentrations in winter were higher than in autumn. The correlation between OC and EC was significant( R~2= 0. 79),which indicates a common source. The highest proportion of OC1 was 23. 44%. The concentration of the carbonaceous component from high to low was OC1 > EC2 > EC3 > OC4 > EC1 > OC2 > OC3 > EC4 > EC6 > EC5. The results of PMF modeling show that the four main contributing sources of carbon components in pollution in this area are biomass combustion and coal-burning,gasoline vehicle exhaust emissions,diesel vehicle exhaust emissions,and road dust,contribution 48. 63%,23. 07%,18. 82%,and 9. 47%,respectively. Furthermore,there were clear differences in the pollution structure at each study site.
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