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Mapping the Spatial Distribution and Characteristics of Lineaments Using Fractal and Multifractal Models: A Case Study from Northeastern Yunnan Province China

机译:分形和多重分形模型绘制线的空间分布和特征:以云南省东北部为例

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摘要

This study describes the fractal dimensions of the spatial distributions of lineaments as an index of the complexity of faults, and the results could provide new insights into the migration of ore-bearing fluid. The Segment Tracing Algorithm method is employed to extract the lineaments in northeast Yunnan Province from a remote sensing image. Box-counting fractal and multifractal models are used to analyze the fractal and multifractal spatial distribution characteristics of the linear structures. The different directions of the linear structure fractal dimensions are similar in the study area. The fractal dimensions of all lineaments, northeast trending lineaments and northwest trending lineaments are 1.98, 1.94 and 1.95, respectively. The dimensions of four large ore deposit fields, Kuangshanchang, Qilinchang, Maozu, and Lemachang, are 1.93, 1.92, 1.95, and 1.93, respectively. The fractal dimensions of these four fields are greater than those of the South China lineaments. The super-large and large ore deposits are consistent with fractal dimensions with high values. The scale index and the singular index show nonlinear relationships with any real number, and the fractal dimension spectrum has a unimodal curve. This study provides a useful reference for deposit exploration in areas with topographies similar to that in northeastern Yunnan.
机译:这项研究将线性构造的空间分布的分形维数描述为断层复杂性的指标,其结果可以为含矿流体的运移提供新的见解。采用分段跟踪算法从遥感图像中提取滇东北地区的地貌。盒计数分形和多重分形模型用于分析线性结构的分形和多重分形空间分布特征。在研究区域中,线性结构分形维数的不同方向相似。所有线形,东北趋势线和西北趋势线的分形维数分别为1.98、1.94和1.95。四个大型矿床场的大小分别为:旷山场,麒麟场,茅祖和勒马场,分别为1.93、1.92、1.95和1.93。这四个场的分形维数大于华南地区的分形维数。超大型和大型矿床与高分形维数一致。比例指数和奇异指数显示与任何实数的非线性关系,并且分形维数谱具有单峰曲线。该研究为地形学与滇东北相似的地区的矿床勘探提供了有用的参考。

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