Heavy metal speciation in various grain sizes of industrially contaminated street dust using multivariate statistical analysis

Yıldırım G., TOKALIOĞLU Ş.

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, cilt.124, ss.369-376, 2016 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 124
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.ecoenv.2015.11.006
  • Sayfa Sayıları: ss.369-376


A total of 36 street dust samples were collected from the streets of the Organised Industrial District in Kayseri, Turkey. This region includes a total of 818 work places in various industrial areas. The modified BCR (the European Community Bureau of Reference) sequential extraction procedure was applied to evaluate the mobility and bioavailability of trace elements (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in street dusts of the study area. The BCR was classified into three steps: water/acid soluble fraction, reducible and oxidisable fraction. The remaining residue was dissolved by using aqua regia. The concentrations of the metals in street dust samples were determined by flame atomic absorption spectrometry. Also the effect of the different grain sizes ( <38 m, 38-53 m and 53-74 m) of the 36 street dust samples on the mobility of the metals was investigated using the modified BCR procedure. The mobility sequence based on the sum of the first three phases (for < 74 m grain size) was: Cd (71.3) > Cu (48.9) > Pb (42.8)=Cr (42.1) > Ni (41.4) > Zn (40.9) > Co (36.6)=Mn (363) > Fe (3.1). No significant difference was observed among metal partitioning for the three particle sizes. Correlation, principal component and cluster analysis were applied to identify probable natural and anthropogenic sources in the region. The principal component analysis results showed that this industrial district was influenced by traffic, industrial activities, airborne emissions and natural sources. The accuracy of the results was checked by analysis of both the BCR-701 certified reference material and by recovery studies in street dust samples. (C) 2015 Elsevier Inc. All rights reserved.