巴甫洛达尔地区地质系统组成因素分析

Zhanar O. Ozgeldinova, E.B. Usalinov, А.А. Zhanguzhina, N. Ramazanova, Zh. Yerzhanova, Zh.Т. Mukaev
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摘要

本文介绍了基于成分分析模型对巴甫洛达尔地区地质系统的系统形成因素及其层次进行识别的结果,这些结果使我们能够获得参数关系结构的数据,从而形成地质系统动态的现状和预测信息,从而制定最优的自然管理结构。考虑利用空间插值方法在制图资料基础上获得的地质系统的单独定量指标,以日照时数、辐射平衡、年平均降水量、年平均河川径流量、最大河川径流量、年径流量变异或变率系数、浊度、平均坡度、平均坡面暴露、平均NDVI值等参数的数值作为初始数据。在计算地球系统的值矩阵时,使用“FACTOR”软件来构建组件(程序员t.f. Savina基于L. M. Pavlichenko的算法)。通过对科学论文的分析,指出了成分分析将统计建模与具体对象(地质系统)的系统分析相结合的可能性。在构件分析的构建中使用系统分析进行了演示,它允许您识别地质系统的功能,并根据它们对系统总方差的贡献对它们进行排序,考虑到系统的关系和自组织的性质。
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COMPONENT ANALYSIS SYSTEM-FORMING FACTORS OF GEOSYSTEMS OF PAVLODAR REGION
The article presents the results of identifying the system-forming factors of geosystems and their hierarchy in the Pavlodar region on the basis of the component analysis model, which allow us to obtain data on the structure of the relationships of parameters for the formation of information about the current state and forecast of the dynamics of geosystems in the development of the optimal structure of nature management. Separate quantitative indicators of geosystems obtained on the basis of cartographic materials, using the spatial interpolation method, are considered, and numerical values of the following parameters are used as initial data: duration of sunshine, radiation balance, average annual precipitation, average annual river runoff, maximum river runoff, coefficient of variation or variability of annual runoff, turbidity, average slope, average slope exposure, average NDVI value, etc.. In the calculation of the value matrix in geosystems, the "FACTOR" software is used to build components (programmer T. F. Savina on algorithms of L. M. Pavlichenko). Based on the analysis of scientific papers, the possibility of component analysis to combine statistical modeling and system analysis of specific objects (geosystems) is shown. The use of system analysis in the construction of component analysis is demonstrated, which allows you to identify the functions of the geosystem and rank them by their contribution to the total variance of the system, taking into account the nature of the relationship and self-organization of the system.
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