4.7 Article

Chemical profiles of urban fugitive dust PM2.5 samples in Northern Chinese cities

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 569, 期 -, 页码 619-626

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2016.06.156

关键词

Urban fugitive dust; Chemical profiles; Ca/Al ratio

资金

  1. Ministry of Science and Technology of China [2013FY112700]
  2. Fundamental Research Funds for Central Universities of China [xkjc2015002]
  3. Key Lab of Aerosol Chemistry & Physics of the Chinese Academy of Sciences [KLACP201501]
  4. Xinjiang Uygur Autonomous Region Science Foundation [201442137-11]

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Urban fugitive dust PM2.5 sampleswere collected in 11 selected cities in North China, and 9 ions (SO42-, NO3-, Cl-, F-, Na+, NH4+, K+, Mg2+, and Ca2+) and 22 elements (Si, Al, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Br, Rb, Sr, Sn, Sb, Ba, and Pb) were determined to investigate chemical profiles of PM2.5. The coefficient of divergence (CD) was used to compare the similarities of the chemical profiles for fugitive dustamong three regions in North China, and the results showed that their composition are quite similar. Total water soluble ions occupied 9.3% and 10.0% on average of road dust and construction dust, respectively, indicating that most of the materials in urban fugitive dust samples were insoluble. Ca2+ was the most abundant cation and SO42- dominated in anions. Soil dust loading was calculated to occupy 70.8% and 83.6% in road dust and construction dust, respectively. Ca, Si, Fe, and Al were the most abundant elements in all the samples, and Ca was absolutely the most abundant specie among the 22 detected elements in construction dust samples. Chemical species ratios were used to highlight the characteristics of urban fugitive dust by comparing with other types of aerosols. High Ca/Al ratio was a good marker to distinguish urban fugitive dust from Asian dust and Chinese loess. In addition, low K+/K and NO3-/ SO42-, and high Zn/Al and Pb/Al ratios were good indicators to separate urban fugitive dust from desert dust, Chinese loess, or urban PM2.5 samples. (C) 2016 Elsevier B.V. All rights reserved.

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