Relationship Analysis of the Degree of Fault Complexity and the Water Irruption Rate, Based on Fractal Theory

被引：0
|
作者：
Li, Renzheng [1 ]
Wang, Qi [2 ]
Wang, Xinyi [1 ,3 ,4 ]
Liu, Xiaoman [1 ]
Li, Jianlin [1 ]
Zhang, Yanxin [5 ]
机构：
[1] Henan Polytech Univ, Inst Resources & Environm, Jiaozuo 454000, Peoples R China
[2] Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100049, Peoples R China
[3] Collaborat Innovat Ctr Coalbed Methane & Shale Ga, Jiaozuo 454000, Henan Province, Peoples R China
[4] Inst China Pingmei Shenma Grp, Pingdingshan 467000, Peoples R China
[5] Survey & Design Inst Co Ltd, Jincheng Anthracite Min Grp, Jincheng 048006, Shanxi, Peoples R China
来源：
MINE WATER AND THE ENVIRONMENT | 2017年 / 36卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Spatial distribution; Self-similarity; Quantitative evaluation; Classification; Categorization; Nonlinear;
D O I：
10.1007/s10230-015-0348-2
中图分类号：
TV21 [水资源调查与水利规划];
学科分类号：
081501 ;
摘要：
Fault structure significantly affects the likelihood of mine water inrush events. In this study, fractal theory was applied to the distribution of fault structures in a deep mining area of the No. 2 mine, Pingdingshan City, China. The results revealed a fractal dimension ranging from 0.602 to 1.672 for fault structures in 35 planes. Using the fractal dimension as a fundamental characteristic, the complexity of fault structures was quantified and categorized into five levels, with the overall complexity of the fault network in the study area classified as moderate. Nine mine water inrush events were used to establish a relationship between the fault fractal dimension and the water irruption rate, which was found to increase with the fractal dimension. Finally, differences in fault fractal dimension and fault complexity level are discussed and analyzed.
引用
收藏
页码：18 / 23
页数：6
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