ICT/University of Minho, CERENA/University of Lisbon, Campus de Gualtar, Braga, Portugal.
Instituto Politécnico de Castelo Branco, CERENA/University of Lisbon, Lisbon, Portugal.
Environ Geochem Health. 2018 Dec;40(6):2573-2585. doi: 10.1007/s10653-018-0124-x. Epub 2018 May 18.
Potential toxic elements (PTE), in stream sediments, were used as contamination indicators for the definition of high-/low-grade spatial clusters in the Monfortinho area (Central Portugal). A set of 271 stream sediment samples was used for spatial modelling and further definition of rings of enrichment-high and low rings. A three-step multivariate statistical and geostatistical approach was used: (1) principal components analysis for PTE's association evaluation and dimensionality reduction; (2) ordinary kriging as an unbiased interpolator for content inference and construction of a continuous representation of the considered attributes, at any arbitrary spatial location; (3) G clustering algorithm for the definition of high and low significance clusters. A moderate contamination in stream sediments is observed for almost all the considered PTE and a very high contamination for Ba, Cr and B. High contamination clusters are observed for Fe, Ni, Ba, Cu, B, Zn, V-northwest and southeast clusters-and for Cr-north and southwest clusters. The contamination degree index varies from moderate to high, which is mainly associated with the old mineralizations. The high computed rings often overlap the areas of abandoned Ba-Zn mineralization, as well as the sedimentary gold concentrations, along the Erges River banks. Tin and Cd spatial distribution may be related to former cassiterite exploitations in the survey area. Chromium is possibly connected with the schists. The definition of clusters with a PTE spatial enrichment will allow for the identification of contamination activities and therefore, the definition of adequate monitoring and mitigation actions.
潜在有毒元素(PTE)在溪流沉积物中被用作定义蒙福蒂尼霍地区(葡萄牙中部)高低品位空间聚类的污染指标。使用了一组 271 个溪流沉积物样本进行空间建模,并进一步定义了富集高/低环。采用了三步多元统计和地质统计方法:(1)主成分分析用于 PTE 的关联评估和降维;(2)普通克里金作为无偏插值器,用于推断含量并构建所考虑属性的连续表示,在任意空间位置;(3)G 聚类算法用于定义高和低显著聚类。几乎所有考虑的 PTE 都观察到中等程度的沉积物污染,而 Ba、Cr 和 B 则存在极高的污染。Fe、Ni、Ba、Cu、B、Zn、V-西北和东南集群以及 Cr-西北和西南集群观察到高污染集群。污染程度指数从中等到高不等,主要与旧矿化有关。计算出的高环常常与废弃的 Ba-Zn 矿化区以及沿 Erges 河岸的沉积金浓度区重叠。锡和 Cd 的空间分布可能与调查区以前的锡石开采有关。铬可能与片岩有关。定义 PTE 空间富集的聚类将有助于识别污染活动,从而定义适当的监测和缓解措施。