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Spatial distribution of metal contamination before and after remediation in the Meza Valley, Slovenia

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Publication date: April 2014
Source:Geoderma, Volumes 217–218
Author(s): Neza Finzgar , Erika Jez , David Voglar , Domen Lestan
Geostatistical technique was used to predicted spatial reduction of metal contamination after applying EDTA-based soil remediation. Soil samples from 268 locations in the Meza Valley, Slovenia with Pb and Zn concentrations up to 8955 and 15518mgkg1 were extracted with the chelating agent ethylenediamine tetraacetate (EDTA). On average, 63 and 22% of Pb and Zn, respectively, were removed with washing solution containing 60mmol EDTA per kg of soil and 75 and 34% of Pb and Zn with 120mmol EDTA kg1 soil. Spatial structure analysis revealed a good spatial structure and little spatial variation of data, which were further interpolated using Empirical Bayesian kriging to produce a continuous surface of Pb and Zn concentrations before and after remediation. Geostatistical simulations showed that the contaminated area covers 19.4km2 and that soil remediation (60mmol EDTA kg1) has the potential to reduce the area with Pb and Zn above the critical regulatory threshold limit by 91 and 42%, respectively. Validated by pilot-scale remediation trials, soil extractions exhibit little scale-dependency of extraction efficiency. EDTA extraction also significantly reduced the bio-accessibility of toxic metals that remained in the soil after remediation using the unified bio-accessibility method. Pb and Zn concentrations accessible from the simulated intestinal phase were reduced by up to 99 and 96%, respectively.


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