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Multivariate statistical approach to identify heavy metal sources in agricultural soil around an abandoned Pb-Zn mine in Guangxi Zhuang Autonomous Region, China

机译:广西壮族自治区废弃铅锌矿山周围农业土壤中重金属来源的多元统计方法

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摘要

A study of agricultural lands around an abandoned Pb-Zn mine in a karst region was undertaken to (1) assess the distribution of heavy metals in the agricultural environment, in both dry land and paddy field; (2) discriminate between natural and anthropogenic contributions; and (3) identify possible sources of any pollution discovered. Ninety-two samples of cultivated soils were collected around the mine and analyzed for eight heavy metals, pH, fluoride (F~-), cation exchange capacity, organic matter, and grain size. The eight heavy metals included Cd, Cr, Cu, Ni, Pb, Zn, As, and Hg. The average concentrations (mg/kg) obtained were as follows: Cd 16.76 ± 24.49, Cr 151.5 ± 18.24, Cu 54.28 ± 18.99, Ni 57.5 ± 14.43, Pb 2,576.2 ± 1,096, Zn 548.7 ± 4,112, As 29.1 ± 6.36, and Hg 1.586 ± 1.46. In a site where no impact from mining activities was detected, the mean and median of Cd, Cu, Ni, Pb, Zn, As, and Hg concentrations in investigated topsoils were higher than the mean and median of heavy metal concentrations in reference soils. An ensemble of basic and multivariate statistical analyses was performed to reduce the multidimensional space of variables and samples. Two main sets of heavy metals were revealed as indicators of natural and anthropogenic influences. The results of principal component analysis (PCA)and categorical PCA demonstrated that Cd, Cu, Pb, Zn, and Hg are indicators of anthropogenic pollution, whereas Cr, As and Ni concentrations are mainly associated with natural sources in the environment. The contamination from Pb-Zn mining operations, coupled with the special karst environment, was a key contributing factor to the spatial distribution of the eight heavy metals in the surrounding soil. The values of heavy metals in the soil samples suggested the necessity of conducting a rigorous assessment of the health and environmental risks posed by these residues and taking suitable remedial action as necessary.
机译:对喀斯特地区一个废弃的Pb-Zn矿山周围的农田进行了研究,以(1)评估旱地和稻田中农业环境中重金属的分布; (2)区分自然贡献和人为贡献; (3)确定发现的任何污染的可能来源。在矿山附近收集了92个耕作土壤样品,并分析了8种重金属,pH,氟化物(F〜-),阳离子交换容量,有机质和粒度。八种重金属包括Cd,Cr,Cu,Ni,Pb,Zn,As和Hg。获得的平均浓度(mg / kg)如下:Cd 16.76±24.49,Cr 151.5±18.24,Cu 54.28±18.99,Ni 57.5±14.43,Pb 2,576.2±1,096,Zn 548.7±4,112,As 29.1±6.36,和Hg 1.586±1.46。在未发现采矿活动影响的地点,所调查表土中Cd,Cu,Ni,Pb,Zn,As和Hg的平均值和中位数高于参考土壤中重金属的平均值和中位数。进行了基础和多元统计分析的集成,以减少变量和样本的多维空间。揭示了两种主要的重金属,它们是自然和人为影响的指标。主成分分析(PCA)和分类PCA的结果表明,Cd,Cu,Pb,Zn和Hg是人为污染的指标,而Cr,As和Ni的浓度主要与环境中的自然来源有关。铅锌矿开采作业造成的污染,加上特殊的喀斯特环境,是造成周围土壤中八种重金属空间分布的关键因素。土壤样品中的重金属含量表明,有必要对这些残留物造成的健康和环境风险进行严格评估,并在必要时采取适当的补救措施。

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