基于随机游走分析的三维洞穴网络复杂性定量估计

Landform Analysis Pub Date : 2015-12-31 DOI:10.12657/LANDFANA.029.011

T. Błachowicz, V. Andreychouk

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引用次数: 1

摘要

本文提出了一种利用随机漫步形式化方法对体网地貌结构进行定量参数化的新方法，并分析了随机漫步实验得出的自相似指数分布。举例说明了两个美国三维的Wind和Lechuguilla洞穴网络。所提供的方法能够独特地表征洞穴系统的形态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quantitative estimation of 3D cave networks complexity using random walk analysis

The paper presents a new method of quantitative parameterization of volumetric-net geomorphological structures with the use of random walk formalism and an analysis of self-similarity exponent distribution derived from random walk experiments. As examples, two American three-dimensional Wind and Lechuguilla cave networks were elaborated. The provided methodology is able to uniquely characterize the morphology of cave systems.

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Landform Analysis

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0.00%

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审稿时长

20 weeks