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@article{1372537,
author = {Bednářová, Zdenka and Kalina, Jiří and Hájek, Ondřej and Sáňka, Milan and Komprdová, Klára},
article_location = {AMSTERDAM},
article_number = {December},
doi = {http://dx.doi.org/10.1016/j.geoderma.2016.08.021},
keywords = {Soil contamination; Spatial autocorrelation; Crop safety; Risk mapping},
language = {eng},
issn = {0016-7061},
journal = {GEODERMA},
title = {Spatial distribution and risk assessment of metals in agricultural soils},
url = {http://www.sciencedirect.com/science/article/pii/S0016706116303718},
volume = {284},
year = {2016}
}
TY - JOUR
ID - 1372537
AU - Bednářová, Zdenka - Kalina, Jiří - Hájek, Ondřej - Sáňka, Milan - Komprdová, Klára
PY - 2016
TI - Spatial distribution and risk assessment of metals in agricultural soils
JF - GEODERMA
VL - 284
IS - December
SP - 113-121
EP - 113-121
PB - ELSEVIER SCIENCE BV
SN - 00167061
KW - Soil contamination
KW - Spatial autocorrelation
KW - Crop safety
KW - Risk mapping
UR - http://www.sciencedirect.com/science/article/pii/S0016706116303718
L2 - http://www.sciencedirect.com/science/article/pii/S0016706116303718
N2 - The purpose of the presented study was to identify possible ecological and health risks by metal contamination in soil. More than 50,000 topsoil samples in agricultural soil were used to evaluate spatial concentrations and risks posed by selected metals on a national scale. Variograms and correlograms were used to identify metal spatial patterns and appropriate sampling distances. All metals were spatially dependent on short distances (up to 7 km). Optimal sampling densities to detect contamination at the local scale were estimated to be at around 1 sample per 0.5 km for Cd, Cu and Zn and 1.5-2 km for Pb, Hg and Ni based on Moran's index = 0.7. The concentrations of metals were partly influenced by precipitation and pH, but mostly by geology and industry. The Kriging method was used to create interpolated maps for individual metals. High concentrations of Cd, Pb and Zn were found in well-known mining areas (the Ore Mountains, the Upper Silesian Basin, the towns of Kutna Hora and Vibram). Elevated Ni and Hg concentrations resulted mainly from the nature of the parent rock material. Cu contamination was specifically influenced by Cu-based fungicides applied on soils where hop and wine are grown. Czech and European legal limits for various pH and soil textures were applied to identify potential risk areas. A relatively large area of agricultural soil (16%) is above the prevention limit for at least one metal. However, only a few localities exceed the limits with respect to food chain contamination and the inhibition of plant growth. Comparison of our results with European studies (LUCAS, GEMAS, FOREGS) points to the need for high density sampling in order to conduct accurate risk assessment and demonstrates that serious soil contamination happens (and needs monitoring) at the local and not the continental scale.
ER -
BEDNÁŘOVÁ, Zdenka, Jiří KALINA, Ondřej HÁJEK, Milan SÁŇKA and Klára KOMPRDOVÁ. Spatial distribution and risk assessment of metals in agricultural soils. \textit{GEODERMA}. AMSTERDAM: ELSEVIER SCIENCE BV, 2016, vol.~284, December, p.~113-121. ISSN~0016-7061. Available from: https://dx.doi.org/10.1016/j.geoderma.2016.08.021.
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