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首页> 外文期刊>The Science of the Total Environment >Heavy metal contents, distribution, and prediction in a regional soil-wheat system
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Heavy metal contents, distribution, and prediction in a regional soil-wheat system

机译：区域土壤-小麦系统中的重金属含量，分布和预测

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摘要

The entry of heavy metals into the food chain is of concern for potential health risks. To investigate the spatial relationships of heavy metals in a regional soil-wheat system, 99 pairs of surface soil (0-15 cm) and wheat grain samples were collected from Changshu, China, a typical county in the Yangtze Delta region. Both soil and wheat grain samples were analyzed for total Cd, Cu, Ni, Pb, and Zn. DTPA-extractable metals and major physico-chemical properties were also determined for soil samples. Moderate accumulation of heavy metals was found in soils and wheat grains, especially Cd. However, the levels were within the target hazard quotients (THQ) safe values with respect to non-carcinogenic risks, but more attention should be paid to Cd. Spatially, Cd, Cu, Ni, and Zn in wheat grains and soils had similar geographical patterns, whereas Pb showed opposite trends. Cross-correlograms further quantitatively confirmed the spatial relationships of heavy metals in wheat grains and soils. In addition, heavy metals in wheat grains were significantly spatially correlated with most soil physio-chemical properties. Particularly, a set of regression models for Cd in wheat grains were established with a maximum predictive success of 65%. These models can be used to predict Cd in wheat grains, and thus allows farmers to decrease the threat by certain framing practices such as ameliorating soil pH or growing a less metal-accumulating cultivar.
机译：重金属进入食物链是潜在的健康隐患。为了研究区域土壤-小麦系统中重金属的空间关系，从长江三角洲地区典型县常熟采集了99对表层土壤（0-15厘米）和小麦籽粒样品。分析了土壤和小麦谷物样品中的总镉，铜，镍，铅和锌。还确定了土壤样品的DTPA可萃取金属和主要理化特性。在土壤和小麦籽粒中特别是镉中发现了重金属的适度积累。但是，相对于非致癌风险，该水平处于目标危险商（THQ）安全值之内，但应更加注意Cd。在空间上，小麦籽粒和土壤中的Cd，Cu，Ni和Zn具有相似的地理格局，而Pb呈现相反的趋势。互相关图进一步定量证实了小麦籽粒和土壤中重金属的空间关系。此外，小麦籽粒中的重金属与大多数土壤理化特性在空间上显着相关。特别是，建立了一套小麦籽粒中Cd的回归模型，最大预测成功率为65％。这些模型可用于预测小麦籽粒中的Cd，从而使农民可以通过某些取景方法来减少威胁，例如改善土壤pH值或减少金属积累的品种。

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