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首页> 外文期刊>Applied radiation and isotopes: including data, instrumentation and methods for use in agriculture, industry and medicine >Multivariate statistical analyses of artificial radionuclides and heavy metals contaminations in deep mud of Keban Dam Lake, Turkey.
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Multivariate statistical analyses of artificial radionuclides and heavy metals contaminations in deep mud of Keban Dam Lake, Turkey.

机译：土耳其Keban Dam湖深层泥浆中人造放射性核素和重金属污染的多变量统计分析。

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摘要

On the basis of the artificial radioactive and heavy metal compositions, factor and cluster analyses are employed to identify the inter-relationship among different variables and their similarity groups. In this paper, 15 physico-chemical variables, including the activities of (137)Cs, (90)Sr, total alpha, total beta, and concentrations of Fe, Mg, Ca, K, Na, Zn, Cu, Cr, Co, Ni, and Mn, are used for the application of the proposed methodologies. The spatio-temporal samples of these variables are collected from deep mud at about 30-35m mean depth in the reservoir of Keban Dam Lake, which is located in the eastern part of Turkey. Spatially, there are 20 sampling sites at the dam with 150km(2) lake surface area where samples were taken in 2006. The lake is affected by man-made and industrial influxes. The application of the factor and cluster analysis methods yields that the former method reduces the number of variables into six factors with 77.2% variance explanation whereas the latter yields three distinctive groups of the same variables.
机译：在人工放射性和重金属成分的基础上，采用因子和聚类分析来确定不同变量及其相似性组之间的相互关系。本文研究了15个理化变量，包括（137）Cs，（90）Sr的活度，总α，总β以及铁，镁，钙，钾，钠，锌，铜，铬，钴的浓度，Ni和Mn用于所提出方法的应用。这些变量的时空样本是从位于土耳其东部的Keban Dam湖水库中平均深度约为30-35m的深层泥土中收集的。在空间上，大坝有20个采样点，湖面面积为150km（2），2006年采样。该湖受到人为和工业涌入的影响。因子分析和聚类分析方法的应用得出的结果是，前一种方法将变量数量减少为六个因子，方差解释为77.2％，而后者则产生了三个不同的相同变量组。

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