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首页> 外文期刊>Journal of Cleaner Production >Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)
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Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)

机译:评估地理因素对Smederevo(塞尔维亚)钢铁生产厂周围土壤中重金属空间分布的影响

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The concentration of heavy metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in surface soils in the area surrounding the steel production facility in Serbia was determined to assess the contribution of emissions to pollution. The mean concentrations of Cd, Co, Cu, Ni, Pb and Zn were found to be higher than values reported for uncultivated soils world-wide and also exceeded mean concentrations of metals in European soil. Analysis of variance revealed the influence of latitude, longitude and distance from the emission source on heavy metal concentrations in soil. Multivariate statistical techniques (cluster analysis and factor analysis) confirmed previous findings and were also used to investigate relationships between heavy metal concentrations and soil particle size fractions. Regression analysis showed that the latitude, longitude and distance from the source are good predictors of heavy metal concentrations in soil. Geostatistical analysis revealed the spatial distribution of heavy metal concentrations in soil and their correlation with prevailing winds in the investigated area.
机译:确定了塞尔维亚钢铁生产厂周围区域表层土壤中重金属(Cd,Co,Cr,Cu,Fe,Mn,Ni,Pb和Zn)的浓度,以评估排放物对污染的贡献。发现Cd,Co,Cu,Ni,Pb和Zn的平均浓度高于全世界未耕种土壤的报告浓度,也超过了欧洲土壤中金属的平均浓度。方差分析揭示了纬度,经度和与排放源的距离对土壤中重金属浓度的影响。多元统计技术(聚类分析和因子分析)证实了先前的发现,也用于研究重金属浓度与土壤粒径分数之间的关系。回归分析表明,纬度,经度和距源的距离是土壤中重金属浓度的良好预测指标。地统计分析揭示了土壤中重金属浓度的空间分布及其与调查地区盛行风的相关性。

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