Multifractal characteristics of gas disaster accident in coal mine

被引:0
作者
Wang, Zhenjiang [1 ,2 ]
Wu, Guang [1 ]
Qin, Qirong [1 ]
Tian, Kunyun [2 ]
Wang, Gongzhong [2 ]
机构
[1] Southwest Petr Univ, Sch Geosci & Technol, Chengdu 610500, Sichuan, Peoples R China
[2] Henan Univ Engn, Sch Safety Engn, Zhengzhou 451191, Henan, Peoples R China
来源
4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING | 2019年 / 237卷
基金
中国国家自然科学基金;
关键词
D O I
10.1088/1755-1315/237/4/042018
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to explore the law of development and the characteristics of evolution of death toll caused by gas disasters in coal mine, with the multifractal detrended fluctuation analysis (MF-DFA) method, we analyzed the three time series of death toll caused by gas disaster, coal and gas outburst, and gas explosions in coal mine from 2006-2015 in China It concluded that all of three time series have multifractal characteristics, the multifractal spectrum width Delta alpha(tc) > Delta alpha(bz) > Delta alpha(ws), and the largest fluctuation and multifractal intensity of death toll time series of coal and gas outburst. The multifractal spectrum function f (alpha) is right hook-shape, and the Delta f <0, it forecast that three kinds of time series are likely to rise in the future, which coincided with the upward trend of the number of coal mine gas accidents and deaths toll in 2016. The results shows that MF-DFA theory reflect the complex nonlinear dynamic mechanism of gas disaster system in coal mines, and provides a theoretical basis for the prediction of gas accidents in coal mines. The multifractal theory of detrended fluctuation reflects the complex nonlinear dynamic mechanism of gas disaster system, and provides a theoretical basis for the prediction of gas accidents in coal mines.
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页数:7
相关论文
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