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Screening Of The Spatial Distribution Of Risk Metals In Topsoil From An Industrial Complex

机译:工业园区表层土壤中危险金属的空间分布筛选

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摘要

For the sustainable development of urban areas, it is necessary to identify if environmental pollution exists and where hot spot pollution sources lie. In this study, 280 topsoil samples were collected from an industry estate in Zlin (the Czech Republic). In these samples, the presence of toxic metal was analyzed by energy dispersed X-Ray fluorescence (ED-XRF), and statistical analysis revealed that the major anthropogenic contaminants in the topsoil were Pb, Zn and Sn. Further contaminant analysis by atomic absorption spectrometry (AAS) determined the maximum contents of 28558.47 mg/kg for Pb, 1132.35 mg/kg for Sn and 2865.22 mg/kg for Zn in selected topsoil samples. According to soil pollution index results, the main proportion of topsoil is contaminated, with the possible sources of contamination being traffic and a nearby municipal heating plant. This study proves that the combination of preliminary ED-XRF topsoil analysis, a multivariative statistical approach, AAS analysis and the geographical information system (GIS) is effective and together form a powerful tool for mapping topsoil contamination and conducting an environmental risk assessment.
机译:为了城市地区的可持续发展,有必要确定是否存在环境污染以及热点污染源位于何处。在这项研究中,从Zlin(捷克共和国)的一个工业区收集了280个表土样品。在这些样品中,通过能量分散X射线荧光(ED-XRF)分析了有毒金属的存在,统计分析表明,表土中主要的人为污染物是Pb,Zn和Sn。通过原子吸收光谱法(AAS)进行的进一步污染物分析,确定了所选表层土样中铅的最大含量为28558.47 mg / kg,锡的最大含量为1132.35 mg / kg,锌的最大含量为2865.22 mg / kg。根据土壤污染指数结果,表层土壤的主要部分受到了污染,可能的污染源是交通和附近的市政供热厂。这项研究证明,初步的ED-XRF表土分析,多变量统计方法,AAS分析和地理信息系统(GIS)的组合是有效的,并且一起构成了绘制表土污染和进行环境风险评估的强大工具。

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