IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i6p1146-d150118.html
   My bibliography  Save this article

Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed?

Author

Listed:
  • Jan Skála

    (Research Institute for Soil and Water Conservation, Žabovřeská 250, 15627 Prague, Czech Republic)

  • Radim Vácha

    (Research Institute for Soil and Water Conservation, Žabovřeská 250, 15627 Prague, Czech Republic)

  • Pavel Čupr

    (Research Centre for Toxic Compounds in the Environment, Masaryk University, Kamenice 753-5, 62500 Brno, Czech Republic)

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.

Suggested Citation

  • Jan Skála & Radim Vácha & Pavel Čupr, 2018. "Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed?," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1146-:d:150118
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/6/1146/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/6/1146/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Javier Palarea-Albaladejo & Josep Martín-Fernández & Jesús Soto, 2012. "Dealing with Distances and Transformations for Fuzzy C-Means Clustering of Compositional Data," Journal of Classification, Springer;The Classification Society, vol. 29(2), pages 144-169, July.
    2. John Aitchison & Michael Greenacre, 2002. "Biplots of compositional data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(4), pages 375-392, October.
    3. Abdulrazaq Yahaya & Omobola O. Okoh & Anthony I. Okoh & Abiodun O. Adeniji, 2017. "Occurrences of Organochlorine Pesticides along the Course of the Buffalo River in the Eastern Cape of South Africa and Its Health Implications," IJERPH, MDPI, vol. 14(11), pages 1-16, November.
    4. P. C. D. Milly & R. T. Wetherald & K. A. Dunne & T. L. Delworth, 2002. "Increasing risk of great floods in a changing climate," Nature, Nature, vol. 415(6871), pages 514-517, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jorge Paz-Ferreiro & Gabriel Gascó & Ana Méndez & Suzie M. Reichman, 2018. "Soil Pollution and Remediation," IJERPH, MDPI, vol. 15(8), pages 1-3, August.
    2. Xue Bai & Kai Song & Jian Liu & Adam Khalifa Mohamed & Chenya Mou & Dan Liu, 2019. "Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling," IJERPH, MDPI, vol. 16(18), pages 1-20, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karel Hron & Paula Brito & Peter Filzmoser, 2017. "Exploratory data analysis for interval compositional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(2), pages 223-241, June.
    2. B. Baris Alkan & Afsin Sahin, 2011. "Measuring inequalities in the distribution of health workers by bi-plot approach: The case of Turkey," Journal of Economics and Behavioral Studies, AMH International, vol. 2(2), pages 57-66.
    3. P. V. Timbadiya & K. M. Krishnamraju, 2023. "A 2D hydrodynamic model for river flood prediction in a coastal floodplain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1143-1165, January.
    4. Michael Greenacre, 2016. "Selection and statistical analysis of compositional ratios," Economics Working Papers 1551, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Giovanni C. Porzio & Giancarlo Ragozini & Domenico Vistocco, 2008. "On the use of archetypes as benchmarks," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 419-437, September.
    6. Javier Palarea-Albaladejo & Josep Martín-Fernández & Jesús Soto, 2012. "Dealing with Distances and Transformations for Fuzzy C-Means Clustering of Compositional Data," Journal of Classification, Springer;The Classification Society, vol. 29(2), pages 144-169, July.
    7. Hemen Mark Butu & Yongwon Seo & Jeung Soo Huh, 2020. "Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    8. Jie Yang & Yimin Wang & Jun Yao & Jianxia Chang & Guoxin Xu & Xin Wang & Hui Hu, 2020. "Coincidence probability analysis of hydrologic low-flow under the changing environment in the Wei River Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1711-1726, September.
    9. Michael Greenacre & Paul Lewi, 2005. "Distributional equivalence and subcompositional coherence in the analysis of contingency tables, ratio-scale measurements and compositional data," Economics Working Papers 908, Department of Economics and Business, Universitat Pompeu Fabra, revised Aug 2007.
    10. Michael Berlemann & Gerit Vogt, 2007. "Kurzfristige Wachstumseffekte von Naturkatastrophen," ifo Working Paper Series 52, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    11. Thomas D. Pol & Ekko C. Ierland & Silke Gabbert, 2017. "Economic analysis of adaptive strategies for flood risk management under climate change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(2), pages 267-285, February.
    12. Anna Maria Fiori & Francesco Porro, 2023. "A compositional analysis of systemic risk in European financial institutions," Annals of Finance, Springer, vol. 19(3), pages 325-354, September.
    13. Germ`a Coenders & N'uria Arimany Serrat, 2023. "Accounting statement analysis at industry level. A gentle introduction to the compositional approach," Papers 2305.16842, arXiv.org, revised Feb 2024.
    14. Berlemann, Michael, 2015. "Hurricane Risk, Happiness and Life Satisfaction. Some Empirical Evidence on the Indirect Effects of Natural Disasters," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113073, Verein für Socialpolitik / German Economic Association.
    15. Juan José Egozcue & Vera Pawlowsky-Glahn, 2019. "Rejoinder on: Compositional data: the sample space and its structure," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 658-663, September.
    16. Álvarez, Xana & Gómez-Rúa, María & Vidal-Puga, Juan, 2019. "Risk prevention of land flood: A cooperative game theory approach," MPRA Paper 91515, University Library of Munich, Germany.
    17. C. Emdad Haque & Mahed-Ul-Islam Choudhury & Md. Sowayib Sikder, 2019. "“Events and failures are our only means for making policy changes”: learning in disaster and emergency management policies in Manitoba, Canada," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(1), pages 137-162, August.
    18. Marco Taussi & Caterina Gozzi & Orlando Vaselli & Jacopo Cabassi & Matia Menichini & Marco Doveri & Marco Romei & Alfredo Ferretti & Alma Gambioli & Barbara Nisi, 2022. "Contamination Assessment and Temporal Evolution of Nitrates in the Shallow Aquifer of the Metauro River Plain (Adriatic Sea, Italy) after Remediation Actions," IJERPH, MDPI, vol. 19(19), pages 1-24, September.
    19. Teodor Kitczak & Heidi Jänicke & Marek Bury & Ryszard Malinowski, 2021. "The Usefulness of Mixtures with Festulolium braunii for the Regeneration of Grassland under Progressive Climate Change," Agriculture, MDPI, vol. 11(6), pages 1-20, June.
    20. Amin Owrangi & Robert Lannigan & Slobodan Simonovic, 2015. "Mapping climate change-caused health risk for integrated city resilience modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(1), pages 67-88, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1146-:d:150118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.