Spatial distribution and risk assessment of metals in
agricultural soils

J 2016

Spatial distribution and risk assessment of metals in agricultural soils

BEDNÁŘOVÁ, Zdenka, Jiří KALINA, Ondřej HÁJEK, Milan SÁŇKA, Klára KOMPRDOVÁ et. al.

Basic information

Original name

Spatial distribution and risk assessment of metals in agricultural soils

Authors

BEDNÁŘOVÁ, Zdenka (203 Czech Republic, belonging to the institution), Jiří KALINA (203 Czech Republic, belonging to the institution), Ondřej HÁJEK (203 Czech Republic, belonging to the institution), Milan SÁŇKA (203 Czech Republic, belonging to the institution) and Klára KOMPRDOVÁ (203 Czech Republic, guarantor, belonging to the institution)

Edition

GEODERMA, AMSTERDAM, ELSEVIER SCIENCE BV, 2016, 0016-7061

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10511 Environmental sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 4.036

RIV identification code

RIV/00216224:14310/16:00093549

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1016/j.geoderma.2016.08.021

UT WoS

000385322500012

Keywords in English

Soil contamination; Spatial autocorrelation; Crop safety; Risk mapping

Abstract

V originále

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.

Links

LM2015051, research and development project

Name: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX RI)

Investor: Ministry of Education, Youth and Sports of the CR

LO1214, research and development project

Name: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

BEDNÁŘOVÁ, Zdenka, Jiří KALINA, Ondřej HÁJEK, Milan SÁŇKA and Klára KOMPRDOVÁ. Spatial distribution and risk assessment of metals in agricultural soils. 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.

@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.

Detailed Information on Publication Record