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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?

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          Abstract

          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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          Most cited references59

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          A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

          J. C. Dunn (1973)
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            Increasing risk of great floods in a changing climate.

            Radiative effects of anthropogenic changes in atmospheric composition are expected to cause climate changes, in particular an intensification of the global water cycle with a consequent increase in flood risk. But the detection of anthropogenically forced changes in flooding is difficult because of the substantial natural variability; the dependence of streamflow trends on flow regime further complicates the issue. Here we investigate the changes in risk of great floods--that is, floods with discharges exceeding 100-year levels from basins larger than 200,000 km(2)--using both streamflow measurements and numerical simulations of the anthropogenic climate change associated with greenhouse gases and direct radiative effects of sulphate aerosols. We find that the frequency of great floods increased substantially during the twentieth century. The recent emergence of a statistically significant positive trend in risk of great floods is consistent with results from the climate model, and the model suggests that the trend will continue.
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              Biplots of compositional data

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                01 June 2018
                June 2018
                : 15
                : 6
                : 1146
                Affiliations
                [1 ]Research Institute for Soil and Water Conservation, Žabovřeská 250, 15627 Prague, Czech Republic; vacha.radim@ 123456vumop.cz
                [2 ]Research Centre for Toxic Compounds in the Environment, Masaryk University, Kamenice 753-5, 62500 Brno, Czech Republic
                Author notes
                [* ]Correspondence: skala.jan@ 123456vumop.cz (J.S.); cupr@ 123456recetox.muni.cz (P.Č); Tel.: +42-025-702-7274 (J.S.); +42-054-949-3511 (P.Č.)
                Article
                ijerph-15-01146
                10.3390/ijerph15061146
                6025328
                29865159
                fd38fcc5-f60f-495d-bad7-81b8aa9e1df1
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 April 2018
                : 29 May 2018
                Categories
                Article

                Public health
                soil pollution,floodplain,human health risk,compositional data
                Public health
                soil pollution, floodplain, human health risk, compositional data

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