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Magnetic parameters, trace elements, and multivariate statistical studies of river sediments from southeastern India: a case study from the Vellar River

机译:印度东南部河流沉积物的磁参数,微量元素和多元统计研究:以维拉河为例

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摘要

This contribution constitutes a new study using magnetic parameters and trace element determinations of pollutants in river sediments from the Tamil Nadu state. The Vellar River covers a total length of about 200 km and flows into the Bay of Bengal. Sediment samples were collected at different sediment depths (up to 90 cm) from 12 sites to investigate their magnetic properties (27 samples) and the contents of trace elements (21 out of 27 samples) along the river; as well as to perform magnetic studies for various grain size fractions (16 sub samples). The magnetic results of magnetic susceptibility and remanent magnetizations suggest that the magnetic signal of these sediments is controlled by ferrimagnetic minerals magnetite-like minerals and a minor contribution of antiferromagnetic carriers (such as hematite minerals). Detailed studies of selected samples showed a higher magnetic concentration in finer grain-sized fractions and a slightly different magnetic mineralogy. Magnetic concentration-dependent parameters evidenced high values, which, together with the background values, allowed us to identify magnetic enhancement at some sites. The Pearson correlation and multivariate statistical studies (Principal Component Analysis, Canonical Correlation Analysis) supported the relationship between the magnetic and chemical variables; in particular, magnetic susceptibility, anhysteretic and isothermal remanent magnetization are closely correlated to Co, Cr, Cu, Fe, V, Zn, and the pollution load index. In addition, Principal Coordinate Analysis and fuzzy C-means cluster analysis allowed us to make a classification and to perform a magnetic-chemical characterization of the data into four groups, thereby identifying critical (possibly polluted) sites from the Vellar River.
机译:这项贡献构成了一项新的研究,利用磁参数和痕量元素测定法来测定来自泰米尔纳德邦的河流沉积物中的污染物。 Vellar河的总长度约为200公里,流入孟加拉湾。从12个站点的不同沉积深度(最大90厘米)处收集沉积物样本,以调查沿河的磁特性(27个样本)和微量元素的含量(27个样本中的21个)。以及对各种晶粒度分数(16个子样本)进行磁性研究。磁化率和剩余磁化强度的磁性结果表明,这些沉积物的磁信号受亚铁磁性矿物类磁铁矿矿物和少量反铁磁性载体(如赤铁矿矿物)的控制。对选定样品的详细研究表明,细颗粒级分中的磁性浓度较高,而磁性矿物学则略有不同。依赖于磁浓度的参数显示出较高的值,该值与背景值一起使我们能够识别某些部位的磁增强。皮尔逊相关和多元统计研究(主成分分析,典范相关分析)支持了磁变量和化学变量之间的关系。尤其是,磁化率,磁滞和等温剩余磁化强度与Co,Cr,Cu,Fe,V,Zn和污染负荷指数密切相关。此外,主坐标分析和模糊C均值聚类分析使我们能够进行分类,并对数据进行磁化学特征化为四个组,从而从Vellar河中识别出关键(可能被污染)的地点。

著录项

  • 来源
    《Environmental Geology》 |2011年第2期|p.297-310|共14页
  • 作者单位

    Instituto de Física Arroyo Seco (UNCPBA), CONICET,Pinto 399, B7000GHG Tandil, Argentina,Instituto Multidisciplinario de Ecosistemas y DesarrolloSustentable (UNCPBA), CONICET,Pinto 399, B7000GHG Tandil, Argentina;

    Instituto Multidisciplinario de Ecosistemas y DesarrolloSustentable (UNCPBA), CONICET,Pinto 399, B7000GHG Tandil, Argentina;

    Department of Physics, Paavai Engineering College,Pachal, Namakkal 637018, India;

    Department of Physics,Annamalai University, Annamalainagar 608002,Tamilnadu, India;

    Instituto de Física Arroyo Seco (UNCPBA), CONICET,Pinto 399, B7000GHG Tandil, Argentina;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    environmental magnetism; magneticsusceptibility; fuzzy c-means clustering method •pollution; river sediments;

    机译:环境磁;磁化率;模糊c均值聚类法•污染;河道沉积物;污染;
  • 入库时间 2022-08-18 03:31:24

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