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首页> 外文期刊>Applied Geochemistry: Journal of the International Association of Geochemistry and Cosmochemistry >Soil contamination compositional index: A new approach to quantify contamination demonstrated by assessing compositional source patterns of potentially toxic elements in the Campania Region (Italy)
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Soil contamination compositional index: A new approach to quantify contamination demonstrated by assessing compositional source patterns of potentially toxic elements in the Campania Region (Italy)

机译:土壤污染成分指数:通过评估坎帕尼亚地区(意大利)的潜在有毒元素的组成源模式来证明量化污染的新方法

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摘要

Potentially toxic elements (PTEs) are a major worldwide threat to the environment due to the constant global increase in industrial activity and urbanisation. Several studies have provided detailed maps and a better understanding of the spatial distribution patterns of PTEs in different matrices, but the majority of these studies have simply neglected the compositional nature of geochemical data. The aims of this study are to reveal the compositional behaviour and relative structure of 15 PTEs (subcomposition) in Campania, one of the most contaminated regions in Italy, and to quantify the spatial abundance and identify the possible origins of these PTEs. Robust compositional biplots were used to understand the natural grouping and origin of the PTEs. Ratios of specific subcompositions (balances) of PTEs were calculated to map the spatial patterns and identify the spatial variability of the PTEs. This study presents the preliminary steps needed to quantify and analyse the relative difference in the spatial abundance of PTEs by applying a compositional abundance index. In addition, a new soil contamination compositional index (SCCI) was elaborated to quantify topsoil contamination by the 15 PTEs and related subgroups following the compositional structure of the geochemical data.
机译:由于工业活动和城市化的持续增加,潜在有毒元素(PTES)是对环境的主要威胁。几项研究提供了详细的地图和更好地理解不同矩阵中PTE的空间分布模式,但大多数这些研究简单地忽略了地球化学数据的组成性质。本研究的目的是揭示坎帕尼亚(Campania)中最受污染的区域之一的15 ptes(亚组件)的组成行为和相对结构,并定量空间丰富并确定这些PTE的可能起源。使用鲁棒的组成双针来了解PTE的天然分组和起源。计算PTES的特定子组合(余额)的比率以映射空间图案并识别PTE的空间可变性。该研究介绍了通过应用组成丰度指数来量化和分析PTE的空间丰度相对差所需的初步步骤。此外,阐述了新的土壤污染成分指数(SCCI)以通过在地球化学数据的组成结构之后通过15 ptes和相关亚组量量化甲醛污染。

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