Abstract

The proposed complex Parameter of River Network Self-similarity (PRNS), which is a combination of the exponents in the equations for distribution of channel lengths, the fractal dimension of channels, and the fractal dimension of points of change of the order of the channel, matches neotectonic movements more accurately. A comprehensive analysis of the self-similarity of the southern Sikhote-Alin River network model derived from the Digital Elevation Model (DEM) based on the Shuttle Radar Topography Mission image (SRTM) has been performed. Comparison of the results of morphostructural and fractal analyses showed the good consistency of these two methods. The relative PRNS maxima coincide with areas with the largest amplitude of ascending neotectonic movements (increment of relief), while the minima coincide with the areas either with the lowest increment of relief or with greatest erosion rates. Most of the crustal earthquakes are confined to the boundaries between PRNS relative maxima and minima, that is, uplifts are surrounded by seismic areas, which is due to the block nature of neotectonic vertical movements.

中文翻译：

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南锡科特-阿林河网的分形几何与新构造

摘要

拟议的河网自相似性的复杂参数（PRNS），是河道长度分布，河道的分形维数和河道阶次变化点的分形维数方程中的指数的组合，可以更准确地匹配新构造运动。对基于航天飞机雷达地形任务图像（SRTM）的数字高程模型（DEM）得出的南部Sikhote-Alin河网模型的自相似性进行了综合分析。形态结构和分形分析结果的比较表明，这两种方法具有良好的一致性。PRNS的相对最大值与新构造运动上升幅度最大的区域（释放的增量）一致，而最小值与浮雕增量最小或侵蚀率最大的区域一致。大多数地壳地震都局限于PRNS相对最大值和最小值之间的边界，即隆起被地震区域包围，这是由于新构造垂直运动的块状性质。