Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Sci Rep. 2017 Sep 5;7(1):10511. doi: 10.1038/s41598-017-11027-0.
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.
本研究描述了线性构造空间分布的分形维数作为断层复杂性的指标，研究结果可为含矿流体的运移提供新的认识。该研究采用线段追踪算法从遥感图像中提取云南省东北部的线性构造。利用盒计数分形和多重分形模型分析线性构造的分形和多重分形空间分布特征。研究区内不同方向线性构造的分形维数相似。所有线性构造、北东向线性构造和北西向线性构造的分形维数分别为 1.98、1.94 和 1.95。四个大型矿床矿区（矿厂、麒麟厂、茅嘴和雷马厂）的分形维数分别为 1.93、1.92、1.95 和 1.93。这四个矿区的分形维数大于华南线性构造的分形维数。特大型和大型矿床与高值分形维数一致。标度指数和奇异指数与任何实数呈非线性关系，分形维数谱呈单峰曲线。本研究为云南东北部类似地形区的矿床勘查提供了有益的参考。
