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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin Central Asia
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Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin Central Asia

机译：中亚博斯腾湖盆地表层土壤中潜在有毒元素的空间分布和健康风险评估

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摘要

A geographically weighted regression and classical linear model were applied to quantitatively reveal the factors influencing the spatial distribution of potentially toxic elements of forty-eight surface soils from Bosten Lake basin in Central Asia. At the basin scale, the spatial distribution of the majority of potentially toxic elements, including: cobalt (Co), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), thallium (Tl), vanadium (V), and zinc (Zn), had been significantly influenced by the geochemical characteristics of the soil parent material. However, the arsenic (As), cadmium (Cd), antimony (Sb), and mercury (Hg) have been influenced by the total organic matter in soils. Compared with the results of the classical linear model, the geographically weighted regression can significantly increase the level of simulation at the basin spatial scale. The fitting coefficients of the predicted values and the actual measured values significantly increased from the classical linear model (Hg: r2 = 0.31; Sb: r2 = 0.64; Cd: r2 = 0.81; and As: r2 = 0.68) to the geographically weighted regression (Hg: r2 = 0.56; Sb: r2 = 0.74; Cd: r2 = 0.89; and As: r2 = 0.85). Based on the results of the geographically weighted regression, the average values of the total organic matter for As (28.7%), Cd (39.2%), Hg (46.5%), and Sb (26.6%) were higher than those for the other potentially toxic elements: Cr (0.1%), Co (4.0%), Ni (5.3%), V (0.7%), Cu (18.0%), Pb (7.8%), Tl (14.4%), and Zn (21.4%). There were no significant non-carcinogenic risks to human health, however, the results suggested that the spatial distribution of potentially toxic elements had significant differences.
机译：应用地理加权回归和经典线性模型定量揭示了影响中亚博斯腾湖盆地48个表层土壤潜在毒性元素空间分布的因素。在盆地规模上，大多数潜在有毒元素的空间分布包括：钴（Co），铬（Cr），铜（Cu），镍（Ni），铅（Pb），th（Tl），钒（ V）和锌（Zn）受土壤母体材料的地球化学特征影响很大。但是，砷，砷，镉，锑和汞都受到土壤中有机物总量的影响。与经典线性模型的结果相比，地理加权回归可以显着提高流域空间尺度上的模拟水平。与经典线性模型相比，预测值和实际测量值的拟合系数显着增加（Hg：r 2 = 0.31； Sb：r 2 = 0.64； Cd： r 2 = 0.81；并且As：r 2 = 0.68）到地理加权回归（Hg：r 2 = 0.56； Sb：r 2 = 0.74; Cd：r 2 = 0.89; As：r 2 = 0.85）。根据地理加权回归的结果，As（28.7％），Cd（39.2％），Hg（46.5％）和Sb（26.6％）的总有机物平均值均高于其他有机物的平均值。潜在有毒元素：Cr（0.1％），Co（4.0％），Ni（5.3％），V（0.7％），Cu（18.0％），Pb（7.8％），Tl（14.4％）和Zn（21.4） ％）。对人类健康没有显着的非致癌风险，但是结果表明，潜在有毒元素的空间分布具有显着差异。

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