重金属在农产物中的积聚已成为人们存眷的主要成绩。以前的研究集中在土壤中重金属的运输及其在作物中的积累。然而,最近的研究表明,小麦的叶子,耳朵,和遮阳篷也可以运输和积累重金属。小麦籽粒受两种重金属来源的影响:土壤污染和大气沉降。了解重金属在土壤中的迁移特性,大气沉降,小麦,每个37个样品为小麦根际土壤,小麦根,茎,叶子,收集了谷物。从临曙县(北部地区)收集了15个大气干沉降和大气湿沉降样品,中国。根据测试数据,分析了研究区重金属的特征及其分布规律。利用皮尔逊相关和冗余分析研究了不同来源作物中重金属的迁移规律。最后,利用多元线性回归分析建立了小麦籽粒中重金属的预测模型。小麦根间重金属分布存在显著差异,茎,叶子,和谷物。大气沉降中重金属的变异系数相对较高,表明受人类活动影响的可辨别的空间格局。值得注意的是,小麦籽粒中重金属的浓度与大气中汞的沉降呈正相关,Cd,和Pb。相反,小麦籽粒中的锌和镍水平与土壤锌呈显著负相关,Ni,pH值,和OM内容。不同来源的重金属元素对谷物重金属含量的影响不同。具体来说,大气沉降是小麦籽粒中汞和铅的主要来源,而Cd,Ni,Cu,锌主要来自土壤。使用多元线性回归模型,我们可以准确地预测汞,Pb,Cd,Ni,Zn,以及作物谷物中的浓度。该模型有助于定量评价研究区农作物重金属积累的生态风险。
Heavy metal accumulation in agricultural products has become a major concern. Previous studies have focused on the transport of heavy metals from the soil and their accumulation in crops. However, recent studies revealed that wheat leaves, ears, and awns can also transport and accumulate heavy metals. Wheat grains can be influenced by two sources of heavy metals: soil contamination and atmospheric deposition. To comprehend the transport characteristics of heavy metals in soil, atmospheric deposition, and wheat, 37 samples each for wheat rhizosphere soil, wheat roots, stems, leaves, and grains were collected. Fifteen samples of atmospheric dry deposition and atmospheric wet deposition were collected from Linshu County (northern area),
China. Based on the test data, the characteristics of heavy metals and their distribution in the study area were analyzed. Migration patterns of heavy metals in crops from different sources were investigated using Pearson correlation and redundancy analysis. Finally, a predictive model for heavy metals in wheat grains was developed using multiple linear regression analysis. Significant disparities in the distribution of heavy metals existed among wheat roots, stems, leaves, and grains. The coefficient of variation of heavy metals in atmospheric deposition was relatively high, indicating discernible spatial patterns influenced by human activities. Notably, a positive correlation was observed between the concentration of heavy metals in wheat grains and atmospheric deposition of Hg, Cd, and Pb. Conversely, Zn and Ni levels in wheat grains were significantly negatively associated with soil Zn, Ni, pH, and OM content. The contribution of heavy metal elements from different sources varied in their impact on the grain\'s heavy metal content. Specifically, atmospheric deposition was the primary source of Hg and Pb in wheat grains, while Cd, Ni, Cu, and Zn were predominantly derived from soil. Using a multiple linear regression model, we could accurately predict Hg, Pb, Cd, Ni, Zn, and As concentrations in crop grains. This model can facilitate quantitative evaluation of ecological risk of heavy metals accumulation in crops in the study area.