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Screening of the Spatial Distribution of Risk Metals in Topsoil from an Industrial Complex

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dc.title Screening of the Spatial Distribution of Risk Metals in Topsoil from an Industrial Complex en
dc.contributor.author Slavík, Roman
dc.contributor.author Julinová, Markéta
dc.contributor.author Labudíková, Martina
dc.relation.ispartof Ecological Chemistry and Engineering S-Chemia I Inzynieria Ekologiczna S
dc.identifier.issn 1898-6196 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2012
utb.relation.volume 19
utb.relation.issue 2
dc.citation.spage 259
dc.citation.epage 272
dc.type article
dc.language.iso en
dc.publisher Towarzystwo Chemii i Inżynierii Ekologicznej pl
dc.identifier.doi 10.2478/v10216-011-0020-0
dc.relation.uri http://versita.metapress.com/content/j14jg5pn4928x087/
dc.subject industrial urban soil en
dc.subject pollution en
dc.subject heavy metals en
dc.subject multivariative statistics en
dc.subject cluster analysis en
dc.subject ED-XRF en
dc.subject AAS en
dc.subject GIS en
dc.description.abstract For the sustainable development of urban areas, it is necessary to identify if environmental pollution exists and where hot spot pollution sources lie. In this study, 280 topsoil samples were collected from an industry estate in Zlin (the Czech Republic). In these samples, the presence of toxic metal was analyzed by energy dispersed X-Ray fluorescence (ED-XRF), and statistical analysis revealed that the major anthropogenic contaminants in the topsoil were Pb, Zn and Sn. Further contaminant analysis by atomic absorption spectrometry (AAS) determined the maximum contents of 28558.47 mg/kg for Pb, 1132.35 mg/kg for Sn and 2865.22 mg/kg for Zn in selected topsoil samples. According to soil pollution index results, the main proportion of topsoil is contaminated, with the possible sources of contamination being traffic and a nearby municipal heating plant. This study proves that the combination of preliminary ED-XRF topsoil analysis, a multivariative statistical approach, AAS analysis and the geographical information system (GIS) is effective and together form a powerful tool for mapping topsoil contamination and conducting an environmental risk assessment. en
utb.faculty Faculty of Technology
utb.faculty University Institute
dc.identifier.uri http://hdl.handle.net/10563/1002888
utb.identifier.rivid RIV/70883521:28110/12:43867994!RIV13-MSM-28110___
utb.identifier.rivid RIV/70883521:28610/12:43867994!RIV13-MSM-28610___
utb.identifier.obdid 43868085
utb.identifier.scopus 2-s2.0-84873557792
utb.identifier.wok 000305189200009
utb.source j-wok
dc.date.accessioned 2012-07-11T11:41:51Z
dc.date.available 2012-07-11T11:41:51Z
dc.rights.access openAccess
utb.ou Centre of Polymer Systems
utb.contributor.internalauthor Slavík, Roman
utb.contributor.internalauthor Julinová, Markéta
utb.contributor.internalauthor Labudíková, Martina
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