An Improved Vulnerability Assessment Model for Floor Water Bursting from a Confined Aquifer Based on the Water Inrush Coefficient Method

2017 ◽  
Vol 37 (1) ◽  
pp. 196-204 ◽  
Author(s):  
Wenping Li ◽  
Yu Liu ◽  
Wei Qiao ◽  
Chengxi Zhao ◽  
Dongdong Yang ◽  
...  
2012 ◽  
Vol 518-523 ◽  
pp. 4283-4287 ◽  
Author(s):  
Pu Shan Li ◽  
Li Li A ◽  
Xin Yi Wang

To solve water disasters of coal seam bottom in the 8th coal mine, with the analysis on the bottom aquifer characteristics, the water inrush coefficient method was applied to evaluate the dangers of the aquifer floor and to the dangers division of water inrush. In combination with the karst fracture development conditions of the aquifer, we designed the water prevention and control plan of the limestone water under the seam floor. All the schemes set the basis for the mine safety production.


1991 ◽  
Author(s):  
RONALD LEVY ◽  
LISA DIXON-HIESTER

2016 ◽  
Vol 75 (22) ◽  
Author(s):  
Yifan Zeng ◽  
Qiang Wu ◽  
Shouqiang Liu ◽  
Yanliang Zhai ◽  
Wei Zhang ◽  
...  

2012 ◽  
Vol 182-183 ◽  
pp. 644-648
Author(s):  
Wei Feng Yang ◽  
Ding Yi Shen ◽  
Yu Bing Ji ◽  
Yi Wang

Through applying the background values of aquifer derived from fuzzy clustering analysis, a fuzzy comprehensive estimation model was developed for quick recognition of mine water inrush. Based on the hydrological-chemical analysis data of water samples which water bursting sources were known in Liliu mining area, Shanxi province, this paper presented that the hydrological-chemical characters of different aquifer was different, and established a sort of fuzzy comprehensive evaluation models of discriminating coal mine water bursting sources in Liliu mining area. Applied to a production mine, the correct rate of water bursting source judged results by various methods was more than 70%. With the dispersion method and the method extracted from stepwise discrimination analysis to determine the membership degree and Model 3 the type determined by various factors, the correct rate of water bursting source with comprehensive evaluation of combination of two methods was higher respectively 94.5% and 93.3%. The fuzzy system can efficiently and accurately discriminate the resource of water inrush for an unknown sample, and provide the decision basis for the safety production of the coal mine.


2012 ◽  
Vol 170-173 ◽  
pp. 1265-1268
Author(s):  
Yu Chen ◽  
Long Cang Shu

It is well-known that land subsidence seriously affects the regional social and economic development and becomes a world-wide problem. Xixi-Chengnan district, Jiangsu province is one of the most important area affected by land subsidence in China. The damage of the hazard to physical, social, economical and environmental systems has been increasing during recent years, which mainly caused by the long period groundwater overexpolitation in the area. This research presents a vulnerability assessment model based on grey correlation analysis (GCA) for the regional land subsidence in Xixi-Chengnan district of Jiangsu province, by the assessment results, the rank of relative vulnerability of each township in the study area can be obtained without weighting and aggregating the vulnerbaility indicators and with avoiding the subjectivity of weighting in general vulnerability evaluation methods. The study can be expected to raise public awareness of land subsidence risk and vulnerability, lay the foundation for risk decision-making, and provide theories and technological supports for taking comprehensive and active measures to prevent and alleviate land subsidence vulnerability.


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