Zhao Keli, Fu Weijun, Ye Zhengqian, Zhang Chaosheng
School of Environmental and Resource Sciences, Zhejiang Agriculture and Forestry University, Lin'an 311300, China.
Geographic Information System Centre, Ryan Institute and School of Geography and Archaeology, National University of Ireland, Galway, Ireland.
Int J Environ Res Public Health. 2015 Jan 28;12(2):1577-94. doi: 10.3390/ijerph120201577.
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.
在中国乃至全球,农田重金属污染问题日益受到关注。为揭示土壤-水稻系统中重金属的空间特征,在中国东南部的南浔采集了土壤和水稻样本。与指导值相比,土壤中重金属浓度有所升高,而水稻中的重金属仍处于安全水平。土壤和水稻中的重金属具有中等至强的空间依赖性(块金值/基台值比率:13.2%至49.9%)。土壤中铜(Cu)、镍(Ni)、铅(Pb)和锌(Zn)的空间分布表明,其高浓度区域位于东南部。土壤中镉(Cd)的高浓度区域出现在东北部。所有研究金属的积累都与长期施用农用化学品和工业活动有关。水稻中的重金属呈现出不同的空间分布模式。绘制交叉相关图以定量确定土壤性质与水稻中重金属组成之间的空间相关性。土壤pH值和有机质与水稻中重金属浓度具有显著的空间相关性。大多数选定变量对水稻中的重金属具有明确的空间相关范围,可进一步应用于划分农业管理区。