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Multivariate statistical approach to identify metal contamination sources in agricultural soils around Pb-Zn mining area, Isfahan province, Iran

机译:伊朗伊斯法罕省铅锌矿区周围农业土壤中金属污染源的多变量统计方法

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摘要

The aims of this study are to evaluate the extent of toxic metal pollution in agricultural soils near the Pb-Zn mining area (Irankuh mining area, Isfahan Province, Iran), and to find out their origins. A total of 32 grab topsoil samples collected from an agricultural field were analyzed for toxic metals including Pb, Zn, Ni, Cu, and Cd using atomic absorption spectrophotometry. The results of the analyses showed that the mean concentrations of Pb, Zn, Ni, Cu, and Cd were 51.80, 60.34, 35.75, 12.05, and 1.38 mg/kg, respectively. Multivariate analysis including correlation coefficient analysis, factor analysis and cluster analysis were used to examine the relationship between the toxic elements and also identify their possible pollution sources. According to the factor and cluster analyses, the 5 toxic metals were classified into three groups. The first group comprised of Cu, Zn, and Pb; while the second and third groups were made up of Ni and Cd, respectively. The average value of Geoaccumulation index (I-geo) for Ni, Zn, Cu, Pb, and Cd in the soil samples were obtained to be 0.23, 0.80, 0.96, 1.60, and 4.62, respectively. Geoaccumulation index evaluation indicated that the agricultural soil samples were moderately polluted with respect to Zn, Cu, and Ni; moderately to strongly polluted with respect to Pb; and heavily to extremely polluted with respect to Cd. Results of this study can be used for planning and performing appropriate future remediation activities at the site.
机译:本研究的目的是评估Pb-Zn矿区(伊朗伊斯法罕省Irankuh矿区)附近的农业土壤中的有毒金属污染程度,并找出其来源。使用原子吸收分光光度法分析了总共32个从农田收集的表层土壤样品中的有毒金属,包括Pb,Zn,Ni,Cu和Cd。分析结果显示,Pb,Zn,Ni,Cu和Cd的平均浓度分别为51.80、60.34、35.75、12.05和1.38 mg / kg。多变量分析包括相关系数分析,因子分析和聚类分析,以检查有毒元素之间的关系,并确定其可能的污染源。根据因子分析和聚类分析,将5种有毒金属分为三类。第一组包括铜,锌和铅。而第二和第三组分别由镍和镉组成。土壤样品中Ni,Zn,Cu,Pb和Cd的地质累积指数(I-geo)的平均值分别为0.23、0.80、0.96、1.60和4.62。地质累积指数评估表明,农业土壤样品中的锌,铜和镍受到了中等程度的污染;就铅而言为中度至重度污染;镉污染严重至极度污染。这项研究的结果可用于在现场计划和执行适当的未来补救活动。

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