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Author Castanheiro, A.; Samson, R.; De Wael, K. pdf  url
doi  openurl
  Title Magnetic- and particle-based techniques to investigate metal deposition on urban green Type A1 Journal article
  Year (down) 2016 Publication The science of the total environment Abbreviated Journal Sci Total Environ  
  Volume 571 Issue Pages 594-602  
  Keywords A1 Journal article; Engineering sciences. Technology; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)  
  Abstract Urban green works as a recorder of atmospheric PM. This paper reports on the utility of combining magnetic- and particle-based techniques to investigate PM leaf deposition as a bio-indicator of metal pollution. Ivy (Hedera helix) leaves were collected from five different land use classes, i.e. forest, rural, roadside, industrial, train. Leaf magnetic measurements were done in terms of saturation isothermal remanent magnetization (leaf SIRM), while ca. 40,000 leaf-deposited particles were analyzed through SEM/EDX to estimate the elemental composition. The influence of the different land use classes was registered both magnetically and in terms of metal content. Leaf area-normalized SIRM values ranged from 19.9 to 444.0 μA, in the following order forest < rural < roadside < industrial < train. Leaf SIRM showed to be significantly correlated (p < 0.01) with the content in Fe, Zn, and Pb, followed by Mn and Cd (p < 0.05), while no significant correlation was found with the metals Cr and Cu. Although presenting a similar metal content, roadside and train were magnetically very distinct. By exhibiting a very high content in Pb, and with an Fe content being comparable to the one observed at the forest and rural land uses, the industrial leaf-deposited particles showed to be mainly due to industrial activity. While SEM/EDX is a suitable approach for detailed particle analysis, leaf SIRM of ivy can be used as a rapid discriminatory tool for metal pollution. Their complementary use delivers further knowledge on land use classes reflecting different PM conditions and/or sources.  
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  Corporate Author Thesis  
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  Language Wos 000383930400059 Publication Date 2016-07-16  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0048-9697 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 4.9 Times cited 17 Open Access  
  Notes ; This research was supported by a PhD grant of the Research Foundation Flanders (FWO). The authors thank W. Dorrine for his help and supervision on operating the SEM, and G. Nuyts and K Wuyts for their valuable comments on data treatment The authors also acknowledge the three anonymous reviewers for their constructive comments, which helped to improve the manuscript. ; Approved Most recent IF: 4.9  
  Call Number UA @ admin @ c:irua:134845 Serial 5703  
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