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Normalization strategies for river bed sediments: A graphical approach

机译:河床沉积物归一化策略:一种图形方法

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The assessment of the degree of contamination of river bed sediments is a complex task, whose main difficulty arises from the application of correct normalization methods. A proper selection of background values and reference elements must be carried out to ensure a correct examination of the sediments. According to the results of our study, normalization by considering in-depth values lead to the most satisfactory results. when the background concentrations were inferred from the 25% lower hinge of box-plots graphs. This percentile was considered to be a conservative approach, which did not lead to overestimation of the actual contamination status of the sediments. Also, local background ranges were obtained by means of the calculation: median 2 median absolute deviation (MAD). Double-normalizations, as those made for the calculation of the Enrichment Factor, which use a reference element and a background value were considered more useful than single-normalizations against a reference element. Finally, the Enrichment Factors (EF) calculated on the basis of box-plot derived backgrounds were compared with those obtained by using average crustal and shale values, and local surface pristine values. The EFs obtained for the bulk fraction (<2 mm) using crustal values were comparable to those obtained using local backgrounds, whereas shale values were more adequate for the fine fraction (<63 mu m). Pristine local values lead to an overestimation of the enrichment factors for most of the elements.
机译:评估河床沉积物的污染程度是一项复杂的任务,其主要困难来自正确的归一化方法的应用。必须正确选择背景值和参考元素,以确保对沉积物进行正确的检查。根据我们的研究结果,通过考虑深度值进行归一化可以得到最令人满意的结果。从箱形图的下铰链下25%推断背景浓度。该百分位数被认为是一种保守的方法,不会导致高估沉积物的实际污染状况。同样,通过计算获得局部背景范围:中位数2中位数绝对偏差(MAD)。与参考元素的单归一化相比,使用归一化元素和背景值进行的双重归一化(如用于计算富集因子)更有用。最后,将根据箱线图得出的背景计算出的富集因子(EF)与通过使用平均地壳和页岩值以及局部地表原始值获得的富集因子进行了比较。使用地壳值获得的大部分(<2 mm)的EF与使用局部背景获得的EF相当,而对于细碎部分(<63μm)而言,页岩值更合适。原始的局部值导致大多数元素的富集因子被高估。

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