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首页> 外文期刊>Journal of the Serbian Chemical Society >Multivariate analysis of metals content in urban snow near traffic lanes in Novi Sad, Serbia
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Multivariate analysis of metals content in urban snow near traffic lanes in Novi Sad, Serbia

机译:塞尔维亚诺维萨德附近行车线城市雪中金属含量的多变量分析

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During December 2009 snow was collected at twenty two locations across the urban area of Novi Sad, directly from roads and from traffic islands near crossroads. The total metal concentration was determined for each of ten metals (Al, Ca, Cu, Fe, K, Mn, Na, Ni, Pb, Zn) using the ICP-OES analytical technique. The metal found to have the lowest concentration was Ni (0.0265 mg dm-3). The metal with the highest concentration was Na (10786 mg dm-3), which is a consequence of sodium chloride being used as de-icing salt on the roads. The metal with the second highest concentration at all locations was Ca; this was most likely the result of soil dust. The Spearman's rank correlation coefficients between analyzed metals were calculated to determine how concentrations of metals were related. A cluster analysis was carried out on the obtained data sets, using both hierarchical and partitioning methods in order to identify associations among metals and/or locations. It was shown that traffic density was not the most important factor that caused differences between the concentrations of the metals in samples.
机译:2009年12月,在诺维萨德市区的22个地点直接从公路和十字路口附近的交通岛上积雪。使用ICP-OES分析技术确定十种金属(Al,Ca,Cu,Fe,K,Mn,Na,Ni,Pb,Zn)中每种金属的总金属浓度。被发现具有最低浓度的金属是Ni(0.0265 mg dm-3)。浓度最高的金属是Na(10786 mg dm-3),这是由于氯化钠在道路上用作除冰盐的结果。在所有位置浓度第二高的金属是Ca。这很可能是土壤尘埃的结果。计算分析金属之间的Spearman秩相关系数,以确定金属浓度之间的关系。使用分层和分区方法对获得的数据集进行了聚类分析,以识别金属和/或位置之间的关联。结果表明,交通密度不是引起样品中金属浓度差异的最重要因素。

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