Contamination and spatial variation of heavy metals in the soil-rice system in Nanxun County, Southeastern China.
Identifieur interne : 000157 ( Main/Exploration ); précédent : 000156; suivant : 000158Contamination and spatial variation of heavy metals in the soil-rice system in Nanxun County, Southeastern China.
Auteurs : Keli Zhao [République populaire de Chine] ; Weijun Fu [République populaire de Chine] ; Zhengqian Ye [République populaire de Chine] ; Chaosheng Zhang [Irlande (pays)]Source :
- International journal of environmental research and public health [ 1660-4601 ] ; 2015.
Descripteurs français
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Metals, Heavy, Soil Pollutants.
- chemical , chemistry : Soil.
- geographic : China.
- analysis : Food Contamination.
- chemistry : Oryza.
- Agriculture, Environmental Monitoring, Spatial Analysis.
Abstract
There is an increasing concern about heavy metal contamination in farmland in China and worldwide. In order to reveal the spatial features of heavy metals in the soil-rice system, soil and rice samples were collected from Nanxun, Southeastern China. Compared with the guideline values, elevated concentrations of heavy metals in soils were observed, while heavy metals in rice still remained at a safe level. Heavy metals in soils and rice had moderate to strong spatial dependence (nugget/sill ratios: 13.2% to 49.9%). The spatial distribution of copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn) in soils illustrated that their high concentrations were located in the southeast part. The high concentrations of cadmium (Cd) in soils were observed in the northeast part. The accumulation of all the studied metals is related to the long-term application of agrochemicals and industrial activities. Heavy metals in rice showed different spatial distribution patterns. Cross-correlograms were produced to quantitatively determine the spatial correlation between soil properties and heavy metals composition in rice. The pH and soil organic matter had significant spatial correlations with the concentration of heavy metals in rice. Most of the selected variables had clear spatial correlation ranges for heavy metals in rice, which could be further applied to divide agricultural management zones.
DOI: 10.3390/ijerph120201577
PubMed: 25635917
Affiliations:
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Le document en format XML
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Zhengqian" uniqKey="Ye Z" first="Zhengqian" last="Ye">Zhengqian Ye</name><affiliation wicri:level="1"><nlm:affiliation>School of Environmental and Resource Sciences, Zhejiang Agriculture and Forestry University, Lin'an 311300, China. yezhq@zafu.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Environmental and Resource Sciences, Zhejiang Agriculture and Forestry University, Lin'an 311300</wicri:regionArea><wicri:noRegion>Lin'an 311300</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Chaosheng" sort="Zhang, Chaosheng" uniqKey="Zhang C" first="Chaosheng" last="Zhang">Chaosheng Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Geographic Information System Centre, Ryan Institute and School of Geography and Archaeology, National University of Ireland, Galway, Ireland. chaosheng.zhang@nuigalway.ie.</nlm:affiliation><country xml:lang="fr">Irlande (pays)</country><wicri:regionArea>Geographic 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qualifier="chemistry" xml:lang="en"><term>Soil</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Food Contamination</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Oryza</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Agriculture</term><term>Environmental Monitoring</term><term>Spatial Analysis</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">There is an increasing concern about heavy metal contamination in farmland in China and worldwide. In order to reveal the spatial features of heavy metals in the soil-rice system, soil and rice samples were collected from Nanxun, Southeastern China. Compared with the guideline values, elevated concentrations of heavy metals in soils were observed, while heavy metals in rice still remained at a safe level. Heavy metals in soils and rice had moderate to strong spatial dependence (nugget/sill ratios: 13.2% to 49.9%). The spatial distribution of copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn) in soils illustrated that their high concentrations were located in the southeast part. The high concentrations of cadmium (Cd) in soils were observed in the northeast part. The accumulation of all the studied metals is related to the long-term application of agrochemicals and industrial activities. Heavy metals in rice showed different spatial distribution patterns. Cross-correlograms were produced to quantitatively determine the spatial correlation between soil properties and heavy metals composition in rice. The pH and soil organic matter had significant spatial correlations with the concentration of heavy metals in rice. Most of the selected variables had clear spatial correlation ranges for heavy metals in rice, which could be further applied to divide agricultural management zones.</div></front></TEI><affiliations><list><country><li>Irlande (pays)</li><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Zhao, Keli" sort="Zhao, Keli" uniqKey="Zhao K" first="Keli" last="Zhao">Keli Zhao</name></noRegion><name sortKey="Fu, Weijun" sort="Fu, Weijun" uniqKey="Fu W" first="Weijun" last="Fu">Weijun Fu</name><name sortKey="Ye, Zhengqian" sort="Ye, Zhengqian" uniqKey="Ye Z" first="Zhengqian" last="Ye">Zhengqian Ye</name></country><country name="Irlande (pays)"><noRegion><name sortKey="Zhang, Chaosheng" sort="Zhang, Chaosheng" uniqKey="Zhang C" first="Chaosheng" last="Zhang">Chaosheng Zhang</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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