QIAO Yan-yi, HUO Run-bin, LU Min, WANG Xian, ZHAO Kai-ming, ZHANG Pan-wang, LIU Yong. VERTICAL DISTRIBUTION CHARACTERISTICS OF GROUND SUBSTRATE BASED ON TRANSITION PROBABILITY MATRIX: A Case Study of Dingxing County, Hebei Province[J]. Geology and Resources, 2023, 32(6): 789-798. DOI: 10.13686/j.cnki.dzyzy.2023.06.016
    Citation: QIAO Yan-yi, HUO Run-bin, LU Min, WANG Xian, ZHAO Kai-ming, ZHANG Pan-wang, LIU Yong. VERTICAL DISTRIBUTION CHARACTERISTICS OF GROUND SUBSTRATE BASED ON TRANSITION PROBABILITY MATRIX: A Case Study of Dingxing County, Hebei Province[J]. Geology and Resources, 2023, 32(6): 789-798. DOI: 10.13686/j.cnki.dzyzy.2023.06.016

    VERTICAL DISTRIBUTION CHARACTERISTICS OF GROUND SUBSTRATE BASED ON TRANSITION PROBABILITY MATRIX: A Case Study of Dingxing County, Hebei Province

    • Ground substrate serves as the carrier of surface natural resources and spatial entity of occurrence body. Finding out the characteristics of plane distribution, vertical assemblage and spatial variation of ground substrate is the key to ground substrate survey. The transition probability statistical method is applied to the ground substrate in the depth of 0-5 m in Dingxing County of Hebei Province. The vertical combination and lateral variation characteristics of ground substrate in Dingxing County and various geomorphic types are summarized and the structure sequence of ground substrate is constructed through limit probability analysis, displacement analysis, entropy analysis and difference matrix circulation analysis. The study shows that the types of ground substrate in the area vary dramatically under the influence of many complex genetic factors. The typical combination is sand-loamy sand-sandy loam-loam ground substrate from bottom to top, and the secondary combination loamy sand-clay loam ground substrate. The results indicate that the transition probability method can accurately describe the spatial distribution of ground substrate, and obtain the macroscopic rule of vertical change of ground substrate in the region from large numbers of miscellaneous catalogues.
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