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Stratigraphic Division and Correlation of the Nihewan Beds by Multivariate Statistical Analysis
作者姓名:岳军  蒋明媚
作者单位:[1]TianjinInstituteofGeologyandMineralResources,ChineseAcademyofGeosciences,Tianjin300170 [2]TianjinInstitu,ChineseAcademyofGeosciences,Tianjin300170
摘    要:Described in paper is the principle of optimal partitioning method for stratigraphic division and correlation.The Nihewan Beds are taken for example to show how to apply this approach in stratigraphic division and correlation.The semiquantitative spectral analysis data on aggregate trace elements in 324 samples taken from the nine sections in the Nihewan Basin are treated with multivariate statistical method for stratigraphic division and correlation.First ,the data from all the sections are respectively calculated by the optimal partitioning method to establish the stratigraphic boundaries.The optimal partitioning method has proved itself to be applicable to stratigraphic division and correlation. In our practice the Nihewan Beds are divided into five zones (I-V).Zone I includes subzones Ia and Ib,Zones Ia,Ib,II and III are considered to be corresponding to the Pliocene(N2),the early Early Pleistocene,the late Early Pleistocene,and the Middle Pleistocene,respectively .Zones IV and V are probably Late Pleistocene in age.This indicated that sediments deposited con-temporaneous in the sections of the same basin are similar in geochemical characteristics,although dif-ferent in geographical location.However,the sediments also show some variations ,with a transitional relationship from one section to another .For example ,in Zone II,the sediments of the Xiaodukou section show not only the characteristics of the Nangou-Hongya and Hutouliang sections,but also those of the Xiashagou,Shixiaxi,Shixiadong and Wulitai sections.It can be seen from the above that the zones can be characteristically correlated with one another.In addition the feasibility of the optimal partitioning method is also described in the present paper.

关 键 词:地层学  河北  晚更新世  统计分析  示踪元素

Stratigraphic division and correlation of the Nihewan Beds by multivariate statistical analysis
Yue Jun,Jiang Mingmei.Stratigraphic Division and Correlation of the Nihewan Beds by Multivariate Statistical Analysis[J].Chinese Journal of Geochemistry,1992,11(3):261-276.
Authors:Yue Jun  Jiang Mingmei
Institution:(1) Tianjin Institute of Geology and Mineral Resources, Chinese Academy of Geosciences, 300170 Tianjin
Abstract:Described in this paper is the principle of optimal partitioning method for stratigraphic division and correlation. The Nihewan Beds are taken for example to show how to apply this approach in stratigraphie division and correlation. The semiquantitative spectral analysis data on aggregate trace elements in 324 samples taken from the nine sections in the Nihewan Basin are treated with multivariate statistical method for stratigraphie division and correlation. First, the data from all the sections are respectively calculated by the optimal partitioning method to establish the stratigraphie boundaries. The opitmal partitioning method has proved itself to be applicable to stratigraphie division and correlation. In our practice the Nihewan Beds are divided into five zones (I–V). Zone I includes subzones Ia and Ib. Zones Ia, Ib, II and III are considered to be corresponding to the Pliocene (N2), the early Early Pleistocene, the late Early Pleistocene, and the Middle Pleistocene, respectively. Zones IV and V are probably Late Pleistocene in age. This indicates that sediments deposited contemporaneous in the sections of the same basin are similar in geochemical characteristics, although different in geographical location. However, the sediments also show some variations, with a transitional relationship from one section to another. For example, in Zone II, the sediments of the Xiaodukou section show not only the characteristics of the Nangou-Hongya and Hutouliang sections, but also those of the Xiashagou, Shixiaxi, Shixiadong and Wulitai sections. It can be seen from the above that the zones can be characteristically correlated with one another. In addition the feasibility of the optimal partitioning method is also described in the present paper.
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