Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)
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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DOI：
10.1016/j.jclepro.2014.03.060
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发表时间：
2014-12-01
影响因子：
11.1
通讯作者：
Onjia, Antonije
中科院分区：
文献类型：
--
作者：
Dragovic, Ranko;Gajic, Bosko;Onjia, Antonije
为了评估排放对污染的贡献，测定了塞尔维亚钢铁生产设施周围地区表层土壤中重金属(Cd、Co、铬、铜、铁、锰、镍、铅和锌)的浓度。镉、钴、铜、镍、铅和锌的平均浓度高于世界各地未开垦的土壤，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、经度和距排放源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)证实了以前的发现，也被用来研究重金属浓度和土壤颗粒组成之间的关系。回归分析表明，纬度、经度和距污染源的距离对土壤重金属含量有较好的预测作用。地统计学分析揭示了研究区土壤中重金属浓度的空间分布及其与盛行风的相关性。(C)2014爱思唯尔有限公司。保留所有权利。
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. (C) 2014 Elsevier Ltd. All rights reserved.