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Origin, patterns and anthropogenic accumulation of potentially toxic elements (PTEs) in surface sediments of the Aviles estuary (Asturias, northern Spain)

机译:阿维莱斯河口(西班牙北部阿斯图里亚斯)表层沉积物中潜在有毒元素(PTEs)的起源,模式和人为积累

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摘要

Sediment quality has been assessed within the Aviles estuary, an important industrial area in the NW of Spain. The study started with a geochemical characterization of the superficial sediments that revealed some anomalous metal(oid)s concentrations in sensitive areas such as beaches or dunes. These data were studied by means of multivariate statistical techniques and enrichment factors calculation to evaluate the correlations and geochemical origin within the different elements. A novel approach using the combination of enrichment factors with a sequential application of factor analysis, clustering and kriging was essential to identify the possible sources of pollution. The collected information suggested that Cd (strongly correlated with Zn and Pb) was the potentially toxic element most widely distributed and problematic. Furthermore, particulate emissions from Zn metallurgy, as well as dust generated by the mineral loading and stockpile activities in the port were identified as the most important sources of pollution.
机译:在西班牙西北部重要的工业区阿维莱斯河口内,已对沉积物质量进行了评估。该研究从表层沉积物的地球化学特征开始,揭示了在敏感区域(如海滩或沙丘)中一些异常的金属(类固醇)浓度。通过多元统计技术和富集因子计算研究了这些数据,以评估不同元素内的相关性和地球化学成因。将富集因子与因子分析,聚类和克里金法相继应用相结合的新颖方法对于确定可能的污染源至关重要。收集到的信息表明,Cd(与Zn和Pb密切相关)是分布最广且存在问题的潜在毒性元素。此外,锌冶金产生的颗粒物排放以及港口内矿物装载和堆放活动所产生的粉尘被认为是最重要的污染源。

著录项

  • 来源
    《Marine pollution bulletin》 |2014年第2期|530-538|共9页
  • 作者单位

    Facultad de Ciencias de la Tierra, ESPOL, Guayaquil, Ecuador;

    Department of Statistics, University of Vigo, Spain;

    Department of Statistics, University of Vigo, Spain;

    Department of Mining Exploitation and Prospecting, Polytechnic School of Mieres, Spain;

    Department of Mining Exploitation and Prospecting, Polytechnic School of Mieres, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Particulate emissions; Sediment contamination; Multivariate analysis; Geostatistics; Enrichment factors;

    机译:颗粒物排放;沉积物污染;多变量分析;地统计学富集因子;
  • 入库时间 2022-08-17 13:35:42

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