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首页> 外文期刊>Geochemistry International >The Use of Statistical Methods for Studying the Chemical Composition of Oceanic Sediments: Evidence from Deep-Water Upper Pleistocene桯olocene Sediments in the Gakkel Ridge, Part II
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The Use of Statistical Methods for Studying the Chemical Composition of Oceanic Sediments: Evidence from Deep-Water Upper Pleistocene桯olocene Sediments in the Gakkel Ridge, Part II

机译:利用统计方法研究海洋沉积物的化学成分:来自加克尔山脊深水上更新世-全新世沉积物的证据,第二部分

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摘要

This paper is a continuation of the work that was published in Geochemistry International in 2010 [1]. Based on lithological and trace-element study of sediments, a hypothetical lithostratigraphic model was proposed and lithostratigraphic horizons were identified. In this paper, we carried out statistical treatment of chemical data (on 28 elements) on the Upper Pleistocene桯olocene sediments of the Gakkel Ridge (core PS 70/306-3). Cluster analysis coupled with lithostratigraphic data was used to distinguish individual groups (clusters) of the core beds, while factor analysis allowed deciphering the main stages in the sedimentation history.
机译:本文是2010年《国际地球化学》上发表的工作的延续。基于沉积物的岩性和微量元素研究,提出了一个假想的岩石地层学模型,并确定了岩石地层学层位。在本文中,我们对Gakkel山脊(PS 70 / 306-3岩心)的上更新世—全新世沉积物进行了化学数据的统计处理(包含28个元素)。聚类分析与岩石地层学数据相结合,可用来区分岩心床的各个组(群),而因子分析则可以解释沉积历史的主要阶段。

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