Abstract
The aim of this work was to show how to construct maps of anthropogenic contamination of agricultural soils in Czech Republic by risk elements. The geochemical datasets for this work originated from state monitoring utilising acid extractions according to past and present national legislative requirements. The goal was to distinguish contamination from natural variability respecting knowledge in environmental geochemistry and available information sources. Conventional approaches to geochemical maps, such as plotting sampling points where element concentrations exceed Tukey or Carling upper fences (boxplot approach), can be used to visualise only extreme contamination, such as historical ore mining and processing. The challenge starts when weak and/or diffuse contamination is of interest and should be distinguished from natural variability. Geogenic anomalies in Czech Republic are represented by mafic volcanic rocks (Cd, Cu, Zn), metamorphic rocks (As, Zn), felsic intrusive volcanic rocks (Pb, Zn), and variegated rocks showing volcanic components (Cd, Pb, Zn). Lithological anomalies are typical for floodplain sediments of lowland rivers. Each cumulation of concentrations above the Tukey or Carling upper fences within the whole-Czech dataset, i.e. potential contamination hotspot, should be examined in detail to judge possible natural controls. Pleistocene and Holocene sediments, in particular aeolian and fluvial deposits with their specific grain size, represent an important controlling factor in such detailed maps. Element concentration ratios in rational subcompositions, e.g. including Co, Cu, Pb, and Zn, were found useful to separate geogenic and lithogenic anomalies, In this subcomposition, Co is promising reference element for datasets obtained by conventional acid extractions as a surrogate for missing analyses of lithogenic elements. There is no automated way of distinguishing anthropogenic contamination from natural variability for weak contamination, expert opinion is indispensable to distinguish natural and anthropogenic factors. The larger (more heterogeneous) the mapped areas, the more complicated interpretation of their geochemical maps and less reliable identification of anthropogenic contamination. Zooming in and examination of empirical cumulative distribution of element concentrations for the zoomed areas is the most powerful tool in converting geochemical to contamination maps, assuming the zoomed areas are covered by relatively homogeneous soils, with small number of soil-forming bedrock and not much geomorphic heterogeneity.
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Data availability
Dataset for this study (RKP) is available on request to Ministry of Agriculture of the Czech Republic.
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Acknowledgements
The authors are grateful to Ministry of Agriculture of the Czech Republic for providing the soil database for free for academic purposes. The authors from IIC Řež were supported by Czech Science Foundation within projects 19-01768S and 20-06728S; by the former one also K. Hron was supported. M. Á. Álvarez-Vázquez was supported by the Xunta de Galicia through the postdoctoral grant #ED481B-2019-066. J.Skála acknowledges financial support through the Technology Agency of the Czech Republic by grant No. SS03010364 under a funding programme “Prostředí pro život”(Environment for Life). TMG supervised the work and prepared the draft of the manuscript, JE prepared special maps and supervised RKP data processing in GIS, ŠT and TK prepared some maps, JS contributed by knowledge on RKP and data mining, KH provided statistical expertise, and MÁÁV contributed to manuscript preparation.
Funding
The work was performed under funding by Czech Science Foundation, projects 19-01768S and 20-06728S. M.Á. Álvarez-Vázquez was supported by the Xunta de Galicia through the postdoctoral grant #ED481B-2019–066. J.Skála acknowledges financial support through the Technology Agency of the Czech Republic by Grant No. SS03010364 under a funding programme “Prostředí pro život” (Environment for Life).
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Jitka Elznicová, Štěpánka Tůmová, Tomáš Kylich. Statistical concepts were refined by Jan Skála and Karel Hron. The first draft of the manuscript was written by Tomáš Matys Grygar and refined by Miguel Ángel Álvarez-Vázquez and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Matys Grygar, T., Elznicová, J., Tůmová, Š. et al. Moving from geochemical to contamination maps using incomplete chemical information from long-term high-density monitoring of Czech agricultural soils. Environ Earth Sci 82, 6 (2023). https://doi.org/10.1007/s12665-022-10692-3
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DOI: https://doi.org/10.1007/s12665-022-10692-3