2018
DOI: 10.1039/c7ra12435j
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Heavy metal accumulation and its spatial distribution in agricultural soils: evidence from Hunan province, China

Abstract: Literature related to heavy metal soil pollution in Hunan province was reviewed and a spatial auto-correlation method applied to reveal the spatial distribution of heavy metal accumulation. The heavy metal content was highest in eastern Hunan.

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Cited by 52 publications
(18 citation statements)
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“…Results from the principal correlation analysis revealed that Fe and Mn had a high negative correlation with Cd, As, Cr, and Pb in both plants and soil, while there was a strong positive correlation within HMs and metalloids. Our results were similar with [41,[84][85][86]. This indicates that Fe and Mn reduce the metal toxicity both in plants and soil.…”
Section: Discussionsupporting
confidence: 88%
“…Results from the principal correlation analysis revealed that Fe and Mn had a high negative correlation with Cd, As, Cr, and Pb in both plants and soil, while there was a strong positive correlation within HMs and metalloids. Our results were similar with [41,[84][85][86]. This indicates that Fe and Mn reduce the metal toxicity both in plants and soil.…”
Section: Discussionsupporting
confidence: 88%
“…In total, 11 types of mines were identified and the main types were Pb-Zn, Sn, tungsten (W), copper (Cu), manganese (Mn), gold (Au), antimony (Sb), and iron (Fe) mines ( Table S3 ). The sites considered were mainly located in southern and central China, but especially in Hunan and Guangxi provinces, which are rich in mineral resources and the locations of non-ferrous metal reserves [ 20 , 21 ]. Based on the distribution of mining areas and the geographical division of China, five regions were investigated in this review.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the significance of spatial relationship was detected by Z(I). Z(I) > 1.96, indicating a significant auto-correlation among SOCs [39].…”
Section: Spatial Auto-correlation Methodsmentioning
confidence: 99%