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

  • Zhenxing Shen*
  • , Jian Sun
  • , Junji Cao
  • , Leiming Zhang
  • , Qian Zhang
  • , Yali Lei
  • , Jinjin Gao
  • , Ru-Jin Huang
  • , Suixin Liu
  • , Yu Huang
  • , Chongshu Zhu
  • , Hongmei Xu
  • , Chunli Zheng
  • , Pingping Liu
  • , Zhiguo Xue
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Urban fugitive dust PM2.5 samples were 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 dust among 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.
Original languageEnglish
Pages (from-to)619-626
JournalScience of the Total Environment
Volume569-570
Online published1 Jul 2016
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Urban fugitive dust
  • Chemical profiles
  • Ca/Al ratio

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