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

页码：18 / 23

页数：6

共 50 条

[41] A surface-based fractal information dimension method for cortical complexity analysis
Zhang, Yuanchao
Jiang, Jiefeng
Lin, Lei
Shi, Feng
Zhou, Yuan
Yu, Chunshui
Li, Kuncheng
Jiang, Tianzi
MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS, 2008, 5128 : 133 - +
[42] Analysis and diagnosis of mechanical vibration signals based on fractal theory
Zhao, Xuanming
International Journal of Simulation: Systems, Science and Technology, 2015, 16 (1A): : 1 - 10
[43] Analysis of YSZ Effective Thermal Conductivity Based on Fractal Theory
Ding Kunying
Li Zhiyuan
Wang Zhe
Cheng Taotao
CHINA SURFACE ENGINEERING, 2020, 33 (03) : 104 - 110
[44] Tangential contact analysis of spherical pump based on fractal theory
Guan, Dong
Jing, Li
Hilton, Harry H.
Gong, Junjie
Yang, Zhengwei
TRIBOLOGY INTERNATIONAL, 2018, 119 : 531 - 538
[45] Fractal theory based Non-linear analysis of sEMG
Arjunan, Sridhar P.
Kumar, Dinesh K.
PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING, 2007, : 545 - 548
[46] Normal contact analysis for spherical pump based on fractal theory
Guan, Dong
Jing, Li
Gong, Junjie
Shen, Hui
Hilton, Harry H.
TRIBOLOGY INTERNATIONAL, 2018, 124 : 117 - 123
[47] The Analysis and Improvement of the Price Forecast Model Based on Fractal Theory
Cui Herui
Yang Li
2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND TECHNOLOGY, VOL I, PROCEEDINGS, 2009, : 395 - 399
[48] Analysis on Wettability of Hydrophobic Functional Surface Based on Fractal Theory
Li Ling-han
Zhang Dong-guang
Wu Ya-li
Du Pei-jin
Sun Huan-wu
CHINA SURFACE ENGINEERING, 2018, 31 (02) : 1 - 7
[49] Vibration analysis of engine's combustion based on fractal theory
Li, L
Liu, L
Shen, YH
Wang, D
PROCEEDINGS OF THE IC-HBRSD'97, 1997, : 205 - 208
[50] Prediction of the Sandstorm Based on Fuzzy Clustering Analysis And Fractal Theory
Wang Jian-zhou
Wang Zhibin
Sun Dong-huai
Lu Haiyan
ICPOM2008: PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE OF PRODUCTION AND OPERATION MANAGEMENT, VOLUMES 1-3, 2008, : 618 - 623

← 1 2 3 4 5 →