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The Use Of Statistical Methods To Separate Natural Background And Anthropogenic Concentrations Of Trace Elements In Radio-chronologically Selected Surface Sediments Of The Venice Lagoon

机译:利用统计方法分离威尼斯泻湖无线电按时间顺序选择的沉积物中的自然本底和人为的痕量元素

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摘要

A new method has been developed that predicts the natural background concentrations of microelements of interest in sediments using the concentrations of various components present in the sample. This is done by developing multiple linear regressions using a dataset which has been selected, using radiochro-nological dating and statistical methods, to reflect the concentration distributions of natural levels of a large number of sediment constituents. This method is demonstrated in Venice Lagoon, using data generated in a lagoon-wide sampling effort. A quantitative assessment is carried out of the variability of natural background levels at the lagoon scale for the main inorganic microelements, and distribution maps of the background and anthropogenic concentrations of a selected metal (Ni) in sediments at the lagoon scale are presented. With sufficient data, this method can be applied in other areas, allowing for a site-specific separation of natural background and anthropogenic levels of microconstituents in sediments, providing insights into regional geochemistry and aiding in the risk-based management of coastal sediments.
机译:已经开发出一种新方法,该方法使用样品中各种组分的浓度预测沉积物中目标微量元素的自然背景浓度。这是通过使用已选择的数据集开发多种线性回归来完成的,该数据集采用了放射线技术测年和统计方法,以反映大量沉积物成分自然水平的浓度分布。该方法在威尼斯泻湖中得到了证明,使用的是在整个泻湖范围内采样产生的数据。对主要无机微量元素在泻湖尺度上自然本底水平的变化进行了定量评估,并给出了泻湖尺度沉积物中本底和人为沉积物中所选金属(Ni)浓度的分布图。有了足够的数据,该方法就可以应用于其他地区,从而实现特定位置的自然本底分离和沉积物中微量元素的人为水平分离,从而提供对区域地球化学的深入了解并有助于基于风险的沿海沉积物管理。

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