Source Identification of Water Bursting in Tongting Coal Mine Based on Multivariate Matrix Model

2019 ◽  
Vol 09 (06) ◽  
pp. 542-548
Author(s):  
俊 张
2016 ◽  
Vol 11 (2) ◽  
pp. 448-458 ◽  
Author(s):  
Linhua Sun ◽  
Song Chen ◽  
Herong Gui

Water source identification is important for water hazard controlling in coal mines. In this study, major ion concentrations of the groundwater collected from four representative aquifer systems in the Baishan coal mine, northern Anhui Province, China, have been analysed by a series of statistical methods. The results indicate that the major ion concentrations of the groundwater from different aquifer system are different with each other, and provided the possibility of water source identification based on hydrochemistry. Factor analysis indicates that these differences are controlled by different types of water rock interactions. The analysis based on US Environmental Protection Agency (EPA) Unmix model identified three sources (weathering of silicate minerals, dissolution of carbonate and evaporate minerals) responsible for the hydrochemical variations of the groundwater. Also, it shows that their contributions for the groundwater in different aquifer systems vary considerably. Based on these variations and on step by step analysis, the source aquifer system for the groundwater samples with unknown source has been determined and, similar to the result obtained by the cluster and discriminant analysis. Therefore, EPA Unmix model can be applied for water source identification in coal mine, as it can provide information about water rock interaction and water source identification simultaneously.


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.


2018 ◽  
Vol 123 ◽  
pp. 20-26 ◽  
Author(s):  
Qingliang Chang ◽  
Xikui Sun ◽  
Huaqiang Zhou ◽  
Xianyuan Shi

2017 ◽  
Vol 37 (3) ◽  
pp. 528-540 ◽  
Author(s):  
Jiazhong Qian ◽  
Yan Tong ◽  
Lei Ma ◽  
Weidong Zhao ◽  
Ruigang Zhang ◽  
...  

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Bo Li ◽  
Qiang Wu ◽  
Zijie Liu

When mine water inrush accidents occur, timely and accurately identifying the water inrush source plays an important role in determining the cause of water inrush and making a solution to a disaster. According to the differences of water chemical composition in each water sources of mine, eight kinds of indicators of water chemical composition were selected as sample variables for water inrush source identification. On this basis, an identification model of water inrush source was established by using principal component analysis (PCA) and Fisher discriminant analysis (FDA) combined. The model was used to identify the water inrush source of 14 groups of training samples and 12 groups of samples to be judged in different water sources of the Xiandewang coal mine, and it was compared with the results of the conventional identification model which used the FDA method. Results of this study showed that having processed data by using the PCA method can effectively eliminate the effects of information superposition between sample indicators, and the identification accuracy of mine water inrush source was significantly increased. Related study in this paper can provide some basis and reference for the study of mine water inrush source identification technology.


2013 ◽  
Vol 316-317 ◽  
pp. 1106-1111
Author(s):  
Ai Jun Shao ◽  
Jian Ping Peng ◽  
Qing Xin Meng ◽  
Yuan Huang

The water inrush from coal mine floor is a typical catastrophic process. A catastrophic theory is applied to water bursting in pit footwall for the first time. Through the research on lost stabilization of energy in the floor system of coal mine, a cusp catastrophic model applied to forecast water bursting from coal mine floor is put forward. The formulas of the critical stress, the strain and the released energy of the floor are developed when the floor system lost stabilization. So a new theory approach is offered for the forecast of water inrush from coal mine floor.


2017 ◽  
Vol 225 ◽  
pp. 681-690 ◽  
Author(s):  
Jie Liang ◽  
Chunting Feng ◽  
Guangming Zeng ◽  
Xiang Gao ◽  
Minzhou Zhong ◽  
...  

2019 ◽  
Vol 93 (6) ◽  
pp. 1922-1932 ◽  
Author(s):  
Haitao ZHANG ◽  
Guangquan XU ◽  
Xiaoqing CHEN ◽  
Jian WEI ◽  
Shitao YU ◽  
...  

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