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Element patterns for particulate matter in stormwater effluent

机译:雨水废水中颗粒物的元素模式

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Particulate matter in stormwater deteriorates the quality of receiving water and sediment. Characterization of stormwater particulate matter by means of its particle-associated element pattern provides an aid to determining its impact on receiving surface waters. During a 6 month measurement campaign, we determined particle-associated concentrations of major pollutants and rare earths for three combined water/stormwater outlets in the town of Staβfurt. We differentiated the particle-associated constituents on the basis of a hierarchical cluster analysis. Repeating the cluster analysis on random subsets, we gained information about the variability of the element patterns between and within the sites. In general, constituents associated with sewage and sewer sediment behave differently compared with constituents associated with runoff. The degree to which associations can be established for element patterns from site to site is limited by the variability encountered within sample sets taken from individual sites. The latter variability depends on the complexity of the catchment.
机译:雨水中的颗粒物会降低接收水和沉积物的质量。雨水颗粒物通过其颗粒相关元素模式进行表征,有助于确定其对接收地表水的影响。在为期6个月的测量活动中,我们确定了Staβfurt镇三个水/雨水混合出口的主要污染物和稀土的颗粒相关浓度。我们在层次聚类分析的基础上区分了与粒子相关的成分。重复对随机子集进行聚类分析,我们获得了有关站点之间和站点内部元素模式变异性的信息。通常,与污水和下水道沉积物相关的成分的行为与与径流相关的成分的行为有所不同。各个站点之间元素模式之间建立关联的程度受到从各个站点获取的样本集内遇到的可变性的限制。后者的可变性取决于集水区的复杂性。

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