Uncertainty Analysis of Water-Inrush from Floor Induced by Deep Mining

2018 ◽  
Vol 37 (1) ◽  
pp. 317-325 ◽  
Author(s):  
Guang Li ◽  
Weitao Liu
Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jianghui He ◽  
Wenping Li ◽  
Wei Qiao ◽  
Zhi Yang ◽  
Qiqing Wang

Deep mining is the current and future mining focus in the coalfield of North China. Therefore, it is necessary to establish a water inrush assessment method suitable for deep mining. The conventional water inrush coefficient ( T ) method is simple to use, but its accuracy is low when the mining depth is very small or large because it neglects the role of the aquifer water yield. The main purpose of this paper is to introduce a simple water inrush risk assessment method that is more applicable in deep mining than the T method. In this study, the hydrogeological characteristics in deep mining were studied and the role of the aquifer water yield in water inrush was analyzed. Afterwards, an improved T method considering the aquifer specific yield ( q ) was established. In the new method, the critical water inrush coefficient changes with changing q following a negative correlation. The parameter thresholds were determined based on systematic data analyses of 186 mining cases. The results of the statistical analysis show that the accuracy of the new method at different mining depths is higher than that of the T method.


ACS Omega ◽  
2021 ◽  
Author(s):  
Xingyue Qu ◽  
Xiaoge Yu ◽  
Xingwei Qu ◽  
Mei Qiu ◽  
Weifu Gao
Keyword(s):  

2011 ◽  
Vol 261-263 ◽  
pp. 1348-1354
Author(s):  
Chang Hong Li ◽  
Li Xin Zhang

In view of one-sidedness and the limitations in comprehensive evaluation index for water inrush risk, a variety of factors of water inrush induced by deep mining of Beiminghe iron mine are analyzed from hydrogeological characteristics, structural characteristics and mining. Faulted structure, water storage capacity, water pressure, water-resisting layer, miming effect and the change of stress in surrounding rock of two levels of deep mining in mine area are quantized by rock permeability test, field pumping test and finite element numerical analysis. Mathematic model of risk assessment of water inrush in deep mining of Beiminghe iron mine is established by using fuzzy comprehensive evaluation method. Quantitative assessment of water inrush risk is carried out to obtain the value of rank tendency for water inrush risk through that mathematic model.


2019 ◽  
Vol 38 (4) ◽  
pp. 827-836 ◽  
Author(s):  
Liming Yin ◽  
Kai Ma ◽  
Juntao Chen ◽  
Yanchao Xue ◽  
Ziqi Wang ◽  
...  

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