首页> 外文期刊>Journal of Chemistry >Concentrations, Spatial Distributions, and Sources of Heavy Metals in Surface Soils of the Coal Mining City Wuhai, China
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Concentrations, Spatial Distributions, and Sources of Heavy Metals in Surface Soils of the Coal Mining City Wuhai, China

机译:中国武力煤开采城市土壤中浓度,空间分布和重金属来源

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Various studies have shown that soils surrounding mining areas are seriously polluted by heavy metals. In this study, 58 topsoil samples were systematically collected throughout the coal mining city Wuhai, located within the Inner Mongolia Autonomous Region of China. The concentrations of As, Hg, Cr, Ni, Cu, Zn, Cd, and Pb in these samples were measured and statistically analyzed. The mean concentrations of all heavy metals were lower than their Grade I values defined by the Chinese Soil Quality Standard. However, the mean concentrations of individual heavy metals in many samples exceeded their background values. The spatial distribution of heavy metals was analyzed by the ordinary kriging interpolation method. The positive matrix factorization model was used to ascertain contamination sources of the eight heavy metals and to apportion the contribution of each source. The most severely polluted area was the Wuhushan mine site in the Wuda district of Wuhai. Our results showed that coal mining strongly affected heavy metal contamination of the local soils. Results of source apportionment indicated that contributions from industrial activities, atmospheric deposition, agricultural activities, and natural sources were 31.3%, 26.3%, 21.9%, and 20.5%, respectively. This clearly demonstrates that anthropogenic activities have markedly higher contribution rates than natural sources to heavy metal pollution in soils in this area.
机译:各种研究表明,周围采矿区的土壤受重金属严重污染。在本研究中,系统地收集了58个表土样品,乌海在中国内蒙古自治区内的武力煤矿市。在这些样品中测量浓度,Hg,Cr,Ni,Cu,Zn,Cd和Pb,并进行统计分析。所有重金属的平均浓度低于中国土壤质量标准所定义的I级值。然而,许多样品中单个重金属的平均浓度超过了其背景值。通过普通的Kriging插值方法分析了重金属的空间分布。正矩阵分解模型用于确定八个重金属的污染源,并分摊每个来源的贡献。最严重污染的地区是武汉区的武汉矿场。我们的研究结果表明,煤矿强烈影响局部土壤的重金属污染。源分摊结果表明,产业活动,大气沉积,农业活动和自然来源的贡献分别为31.3%,26.3%,21.9%和20.5%。这清楚地表明,人类学活动的贡献率明显高于该地区土壤中的重金属污染的贡献率。

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