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青州市表层土壤元素地球化学组合特征研究
引用本文:姜冰,刘阳,颜丙鹏.青州市表层土壤元素地球化学组合特征研究[J].山东国土资源,2018,34(9).
作者姓名:姜冰  刘阳  颜丙鹏
作者单位:山东省第四地质矿产勘查院
摘    要:聚类分析和因子分析可以获得土壤元素地球化学组合特征及其差异性。对青州市表层土壤样品数据进行分析研究,通过聚类分析,绘制表层土壤元素聚类谱系图,将23种元素或指标分为5个元素组合簇群及2个单元素簇,研究各元素间的组合特征,探讨其相关性、聚集性及其指示意义;通过因子分析,找出有代表性的因子,用其代表变量,绘制典型因子得分等值线图,并从中分析不同元素组合的区域分布基于何种因素,用11个代表性因子的分布特征就基本可以代表青州市表层土壤23项原始变量的分布特征,并对F1,F2,F3主因子进行了地质解释。聚类分析与因子分析相结合,利于表层土壤中元素的共生组合特征及其差异性研究,利于对研究区表层土壤异常进行归纳总结。

关 键 词:聚类分析  因子分析  土壤元素  青州市

Study on Geochemical Assemblage Characteristics of Surface Soil Elements in Qingzhou City
JIANG Bing,LIU Yang and YAN Bingpeng.Study on Geochemical Assemblage Characteristics of Surface Soil Elements in Qingzhou City[J].Land and Resources in SHANDONG Province,2018,34(9).
Authors:JIANG Bing  LIU Yang and YAN Bingpeng
Abstract:Cluster analysis and factor analysis can be used to obtain the geochemical characteristics of soil elements and their differences. The surface soil sample data of Qingzhou city is analyzed and studied. By cluster analysis, the clustering pedigree chart of surface soil elements is drawn. The 23 elements or indexes are divided into 5 elements clusters and 2 single element clusters. The combination characteristics of each element have been studied, and their correlation, aggregation and indication significance have been discussed. Through factor analysis, representative factors have been found and used as the representative variables, typical factor score contour map has been drawn, and the factors which will casue different regional distribution of the combination of different elements have been analyzed. The distribution characteristics of 11 representative factors can basically represent the distribution characteristics of 23 original variables in the surface soil in Qingzhou city. Geological interpretation of F1, F2, F3 factors has been carried out. The combination of cluster analysis and factor analysis is beneficial to the study of the characteristics and differences of symbiotic combination of elements in the surface soil, which is beneficial to the summary of the surface soil anomalies in the study area.
Keywords:Cluster analysis  factor analysis  soil element  Qingzhou city
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