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Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed
J. Skála, R. Vácha, P. Čupr,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2004
PubMed Central
od 2005
Europe PubMed Central
od 2005
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2005-01-01
Medline Complete (EBSCOhost)
od 2008-12-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2004
PubMed
29865159
DOI
10.3390/ijerph15061146
Knihovny.cz E-zdroje
- MeSH
- algoritmy MeSH
- chlorované uhlovodíky analýza MeSH
- hexachlorcyklohexan analýza MeSH
- látky znečišťující půdu analýza MeSH
- látky znečišťující životní prostředí analýza MeSH
- lidé MeSH
- monitorování životního prostředí * MeSH
- pesticidy analýza MeSH
- polychlorované bifenyly analýza MeSH
- polycyklické aromatické uhlovodíky analýza MeSH
- půda chemie MeSH
- záplavy * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
The main topic of this study is a human health risk assessment of a defined exposure scenario in the floodplain soils of the headwater areas of the central European watershed, with the aim of exploring both multivariate and regional data structures. Flood-prone areas are recognized worldwide to be susceptible to contamination and its redistribution. Contributions of various classes of toxic compounds (organochlorine pesticides (OCPs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs)) to human health risks were assessed in a screening risk assessment. However, due to the relative nature of our data and a high PAH dominancy over the data ensemble, reliance solely on the standard statistical processing of raw data might lead to incomplete insight into the structure of the multivariate data. Explanatory analysis of the data structure using the compositional approach was found to be beneficial to elucidating human health risk profiles and provided robust evidence that a contrast between agricultural and airborne industrial pollution controlled the whole human toxicological variation of persistent organic pollutants (POPs) in floodplain soils. These results were effectively quantified with the subcomposition of benzo(a)pyrene, DDT, and alpha-hexachlorocyclohexane (aHCH), allowing for an interpretation of structural differences in regional pollution patterns, which conferred different extents and compositions of human health risks in floodplain soils.
Citace poskytuje Crossref.org
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