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Heavy metals in the Ventspils Harbour: normalization based on a multi-parameter dataset

机译:文茨皮尔斯港口中的重金属:基于多参数数据集的归一化

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Heavy metals were investigated in the sediments of the Ventspils Harbour located in north-west Latvia (eastern Baltic Sea). Sediment samples were analysed for major and trace metals by ICP-AES, supplemented by inorganic and organic carbon as well as grain-size distributions. Principal component analysis of the data resulted in two main parameter clusters associated with Ca- and Al-rich material and indicated differing behaviour of Pb, Cu, Zn, N and P. Normalization with respect to Ca and Al by least absolute values regression removed the spatial pattern of sediment metal content in the harbour. High residual concentrations at individual sites were associated with local contaminations, whereas the overall concentration pattern was governed by the transport of riverine fine material. Dilution with coarser, quartz-rich marine sediments led to a pronounced heavy metal concentration drop towards the harbour gates. High mixing was an important feature of sediment dynamics in the Ventspils Harbour, hampering contaminant source identification and sediment monitoring.
机译:在拉脱维亚西北部(波罗的海东部)的文茨皮尔斯港的沉积物中调查了重金属。 ICP-AES分析了沉积物样品中的主要和痕量金属,并辅以无机和有机碳以及粒度分布。数据的主成分分析得出了两个与富含Ca和Al的材料相关的主要参数簇,并表明Pb,Cu,Zn,N和P的行为不同。通过最小绝对值回归对Ca和Al进行归一化删除了港口内沉积物金属含量的空间格局。各个地点的高残留浓度与局部污染有关,而总体浓度模式则由河流细粒物质的运输控制。用较粗的,富含石英的海洋沉积物进行稀释会导致明显的重金属浓度下降到港口大门。高度混合是文茨皮尔斯海港沉积物动力学的重要特征,妨碍了污染物源识别和沉积物监测。

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