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Magnetic studies and elemental analysis of river sediments: a case study from the Ponnaiyar River (Southeastern India)

机译:河流沉积物的磁性研究和元素分析:以Ponnaiyar河(印度东南部)为例

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The Ponnaiyar River is one of the largest rivers of the Tamil Nadu state (India), flowing a distance of 430 km from its point of origin to the sea. This work contributes with new data of magnetic and elemental composition of river sediments, and improves the knowledge obtained by preliminary and previous studies of rivers from Southeastern India. Magnetic susceptibility, anhys-teretic and isothermal remanent magnetization and chemical determinations (major and trace metals) were measured. Magnetic results reveal the predominance of magnetite-like mineral with magnetic grain size variations along the river and in depth. Most of the uppermost samples have the major presence of trace metals and higher values of magnetic concentration. Magnetic and chemical variables were also analysed as potential pollution indicators using multivariate statistical techniques: canonical correlation and fuzzy c-means clustering analyses, which confirmed the existence of relationships, but not in a simple way, between magnetic and chemical variables. Furthermore, fuzzy analysis allows classifying the data in different well-differentiated groups regarding the trace metal load, concentration and feature-dependent parameters. The most polluted samples show high concentration of trace elements and magnetic carriers, softer and coarser magnetic minerals; on the contrary, the unpolluted samples (from the deepest sediments) have the opposite characteristics.
机译:Ponnaiyar河是印度泰米尔纳德邦最大的河流之一,从其起点到大海的距离为430公里。这项工作为河流沉积物的磁性和元素组成的新数据做出了贡献,并增进了通过对印度东南部河流的初步研究和先前研究而获得的知识。测量了磁化率,各向异性和等温剩余磁化强度以及化学测定(主要和痕量金属)。磁性结果表明,磁铁矿样矿物占主导地位,沿河和深度方向的磁性晶粒尺寸变化很大。大多数最上面的样品主要含有痕量金属和较高的磁浓度值。还使用多元统计技术对电磁变量进行了分析,将其作为潜在的污染指标:典范相关性和模糊c均值聚类分析,这证实了电磁变量之间存在联系,但不是简单的关系。此外,模糊分析允许将有关痕量金属负载,浓度和特征相关参数的数据分为不同的高分化组。污染最严重的样品显示出高浓度的痕量元素和磁性载体,较软和较粗的磁性矿物。相反,未污染样品(来自最深沉积物)具有相反的特征。

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