Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed?
Language English Country Switzerland Media electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
29865159
PubMed Central
PMC6025328
DOI
10.3390/ijerph15061146
PII: ijerph15061146
Knihovny.cz E-resources
- Keywords
- compositional data, floodplain, human health risk, soil pollution,
- MeSH
- Algorithms MeSH
- Hydrocarbons, Chlorinated analysis MeSH
- Hexachlorocyclohexane analysis MeSH
- Soil Pollutants analysis MeSH
- Environmental Pollutants analysis MeSH
- Humans MeSH
- Environmental Monitoring * MeSH
- Pesticides analysis MeSH
- Polychlorinated Biphenyls analysis MeSH
- Polycyclic Aromatic Hydrocarbons analysis MeSH
- Soil chemistry MeSH
- Floods * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Europe MeSH
- Names of Substances
- alpha-hexachlorocyclohexane MeSH Browser
- Hydrocarbons, Chlorinated MeSH
- Hexachlorocyclohexane MeSH
- Soil Pollutants MeSH
- Environmental Pollutants MeSH
- Pesticides MeSH
- Polychlorinated Biphenyls MeSH
- Polycyclic Aromatic Hydrocarbons MeSH
- Soil 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.
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