首页> 外文期刊>Applied Geochemistry: Journal of the International Association of Geochemistry and Cosmochemistry >Application of multivariate statistical analysis and a geographic information system to trace element contamination in the Chungnam Coal Mine area, Korea
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Application of multivariate statistical analysis and a geographic information system to trace element contamination in the Chungnam Coal Mine area, Korea

机译:应用多元统计分析和地理信息系统追踪韩国忠南煤矿地区的元素污染

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摘要

In order to examine contamination in the Chungnam Coal Mine area, rock, stream sediment and water samples were collected and analyzed for trace elements. In order to compile the drainage-based geochemical maps, catchment basins were calculated using aspects of DEM (data elevation model) and stream-line segments. The constructed DEMs with 3 types of resolution were examined, these need to be properly used for well-shaped and accurate catchment basins. The stream-line segments and sampling points were also considered as a target image for watershed segments and it was found that the stream-line segments as target images were better role at reflecting the catchment area rather than the sampling points. It is important that the geochemical databases were manipulated to present the various phenomena. Factor analysis in R-mode was used to integrate geochemical data, and the input data for factor analysis were the concentrations of 12 trace elements in stream sediment and 3 anion concentrations and pH values in stream water. Using a maximum likelihood scheme, eigenvalues that explained about 90% of total variance were established and 4 factors were selected. Factors 1 and 2 indicated relative enrichment of trace elements, factor 3 was explained by human activities of residents and factor 4 was related to the pH of stream water. The drainage-based geochemical maps with 4 kinds of factor scores were compiled. (C) 2001 Published by Elsevier Science Ltd. [References: 15]
机译:为了检查忠南煤矿地区的污染,收集了岩石,溪流沉积物和水样并分析了痕量元素。为了编制基于排水的地球化学图,使用DEM(数据高程模型)和流线段计算集水盆地。对具有3种类型分辨率的DEM进行了检查,需要将它们正确地用于形状良好且精确的集水盆地。流线段和采样点也被认为是分水岭段的目标图像,并且发现流线段作为目标图像在反映集水区而不是采样点上的作用更好。操纵地球化学数据库以呈现各种现象非常重要。 R模式的因子分析用于整合地球化学数据,因子分析的输入数据是河流沉积物中12种微量元素的浓度和河流水中3种阴离子浓度和pH值。使用最大似然方案,建立了解释总方差的90%的特征值,并选择了4个因子。因子1和2表示微量元素的相对富集,因子3由居民的人类活动解释,因子4与溪水的pH有关。编制了具有4种因子得分的基于排水的地球化学图。 (C)2001年由Elsevier Science Ltd.发布。[参考:15]

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