PM2.5 in an industrial district of Zhengzhou, China: Chemical composition and source apportionment

被引:111
作者
Geng, Ningbo [1 ]
Wang, Jia [1 ]
Xu, Yifei [1 ]
Zhang, Wending [1 ]
Chen, Chun [2 ]
Zhang, Ruiqin [1 ]
机构
[1] Zhengzhou Univ, Dept Chem, Res Inst Environm Sci, Zhengzhou 450001, Peoples R China
[2] Henan Environm Monitoring Ctr, Zhengzhou 450004, Henan, Peoples R China
关键词
PM2.5; Component; Seasonal variation; PMF; Source apportionment; FINE PARTICULATE MATTER; ELEMENTAL COMPOSITION; TRACE-ELEMENTS; ION CHEMISTRY; MASS CLOSURE; PARTICLES; URBAN; AEROSOL; PM10; TRENDS;
D O I
10.1016/j.partic.2012.08.004
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Zhengzhou is a developing city in China, that is heavily polluted by high levels of particulate matter. In this study, fine particulate matter (PM2.5) was collected and analyzed for their chemical composition (soluble ions, elements, elemental carbon (EC) and organic carbon (OC)) in an industrial district of Zhengzhou in 2010. The average concentrations of PM2.5 were 181, 122, 186 and 211 mu g/m(3) for spring, summer, autumn and winter, respectively, with an annual average of I 75 mu g/m(3), far exceeding the PM2.5 regulation of USA National Air Quality Standards (15 mu g/m(3)). The dominant components of PM2.5 in Zhengzhou were secondary ions (sulphate and nitrate) and carbon fractions. Soluble ions, total carbon and elements contributed 41%, 13% and 3% of PM2.5 mass, respectively. Soil dust, secondary aerosol and coal combustion, each contributing about 26%, 24% and 23% of total PM2.5 mass, were the major sources of PM2.5, according to the result of positive matrix factorization analysis. A mixed source of biomass burning, oil combustion and incineration contributed 13% of PM2.5. Fine particulate matter arising from vehicles and industry contributed about 10% and 4% of PM2.5, respectively. (C) 2012 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:99 / 109
页数:11
相关论文
共 50 条
  • [31] Recent Developments in the Determination of PM2.5 Chemical Composition
    Pan, Susu
    Qiu, Yanting
    Li, Ming
    Yang, Zhenqi
    Liang, Dapeng
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2022, 108 (05) : 819 - 823
  • [32] Source Apportionment of PM2.5 in Handan City, China Using a Combined Method of Receptor Model and Chemical Transport Model
    Wei, Zhe
    Wang, Litao
    Hou, Liquan
    Zhang, Hongmei
    Yue, Liang
    Wei, Wei
    Ma, Simeng
    Zhang, Chengyu
    Ma, Xiao
    SUSTAINABLE DEVELOPMENT OF WATER RESOURCES AND HYDRAULIC ENGINEERING IN CHINA, 2019, : 151 - 173
  • [33] Source apportionment of PM2.5 and visibility in Jinan, China
    Cheng, Mengtian
    Tang, Guiqian
    Lv, Bo
    Li, Xingru
    Wu, Xinrui
    Wang, Yiming
    Wang, Yuesi
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2021, 102 : 207 - 215
  • [34] Chemical Characterization and Source Apportionment of PM2.5 near Semi-Urban Residential-Industrial Areas
    Dahari, Nadhira
    Muda, Khalida
    Khan, Md Firoz
    Latif, Mohd Talib
    Hussein, Norelyza
    Dominick, Doreena
    EXPOSURE AND HEALTH, 2022, 14 (01) : 149 - 170
  • [35] Characteristics of chemical composition and source apportionment of PM2.5 during a regional haze episode in the yangtze river delta, china
    Diao, Yiwei
    Liu, Ankang
    Hu, Qun
    Yang, Meng
    Zhao, Tianliang
    Cui, Yi
    Shi, Shuangshuang
    Kong, Xiangchen
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [36] Carbonaceous species in PM2.5 and PM10 in urban area of Zhengzhou in China: Seasonal variations and source apportionment
    Wang, Qun
    Jiang, Nan
    Yin, Shasha
    Li, Xiao
    Yu, Fei
    Guo, Yue
    Zhang, Ruiqin
    ATMOSPHERIC RESEARCH, 2017, 191 : 1 - 11
  • [37] Chemical composition of PM2.5 particles in Salamanca, Guanajuato Mexico: Source apportionment with receptor models
    Herrera Murillo, Jorge
    Campos Ramos, Arturo
    Angeles Garcia, Felipe
    Blanco Jimenez, Salvador
    Cardenas, Beatriz
    Mizohata, Akira
    ATMOSPHERIC RESEARCH, 2012, 107 : 31 - 41
  • [38] Development of source profiles and their application in source apportionment of PM2.5 in Xiamen, China
    Zhang, Ningning
    Zhuang, Mazhan
    Tian, Jie
    Tian, Pengshan
    Zhang, Jieru
    Wang, Qiyuan
    Zhou, Yaqing
    Huang, Rujin
    Zhu, Chongshu
    Zhang, Xuemin
    Cao, Junji
    FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2016, 10 (05)
  • [39] PM2.5 Pollution in Xingtai, China: Chemical Characteristics, Source Apportionment, and Emission Control Measures
    Hu, Jun
    Wang, Han
    Zhang, Jingqiao
    Zhang, Meng
    Zhang, Hefeng
    Wang, Shulan
    Chai, Fahe
    ATMOSPHERE, 2019, 10 (03)
  • [40] Source apportionment of PM2.5 in Tangshan, China-Hybrid approaches for primary and secondary species apportionment
    Wen, Wei
    Cheng, Shuiyuan
    Liu, Lei
    Wang, Gang
    Wang, Xiaoqi
    FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2016, 10 (05)