scholarly journals Hydrogeochemical Evolution and Control Mechanism of Underground Multiaquifer System in Coal Mine Area

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Qiding Ju ◽  
Yu Liu ◽  
Youbiao Hu ◽  
Yuquan Wang ◽  
Qimeng Liu ◽  
...  
Keyword(s):  
Cation Exchange ◽  
Mine Water ◽  
Control Mechanism ◽  
Water Inrush ◽  
Pyrite Oxidation ◽  
Mining Area ◽  
Carbonate Dissolution ◽  
Mining Activities ◽  
Hydrogeochemical Evolution ◽  
And Control

Mining activities interfere into the natural groundwater chemical environment, which may lead to hydrogeochemical changes of aquifers and mine water inrush disasters. The study of hydrogeochemical evolution processes of underground aquifers is helpful to the prevention and control of mine water inrush. The results show that the study area is mainly impacted by four hydrogeochemical processes: dissolution, cation exchange, desulfurization and reduction, and pyrite oxidation. The Cenozoic aquifers are dominated by carbonate dissolution and desulfurization. The Permian aquifers are impacted mainly by cation exchange and sulfate dissolution, followed by pyrite oxidation. The Carboniferous aquifers are mainly impacted by dissolving sulfate, followed by pyrite oxidation and cation exchange. The hydrogeochemical evolution of the aquifers was controlled by mining activities and tectonic changes, and a certain regularity in space. For the Cenozoic aquifers, sulfate dissolution and cation exchange increase from west to east, and desulfurization weakens. For the Permian aquifers, cation exchange and sulfate dissolution are stronger near synclines and faults, pyrite oxidation is enhanced, and desulfurization decreases from the middle to the east of the mining area. For the Carboniferous aquifers, there is a higher dissolution of rock salt, pyrite oxidation, and cation exchange from west to east, and the desulfurization effect weakens.

Discrimination of Mine Water Bursting Source Based on Fuzzy System

2012 ◽  
Vol 182-183 ◽  
pp. 644-648
Author(s):  
Wei Feng Yang ◽  
Ding Yi Shen ◽  
Yu Bing Ji ◽  
Yi Wang
Keyword(s):  
Coal Mine ◽  
Mine Water ◽  
Fuzzy System ◽  
Comprehensive Evaluation ◽  
Water Inrush ◽  
Fuzzy Comprehensive Evaluation ◽  
Mining Area ◽  
Shanxi Province ◽  
Estimation Model ◽  
Water Bursting

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.

Mine Water Irruption Flooding Spread Route Generation Algorithm Based on Directed Graph

2012 ◽  
Vol 268-270 ◽  
pp. 1894-1897
Author(s):  
Hui Fu ◽  
Shan Jun Mao ◽  
Yun Xiu Luo
Keyword(s):  
Mine Water ◽  
Water Inrush ◽  
Scientific Basis ◽  
Route Optimization ◽  
Generation Algorithm ◽  
Emergency Rescue ◽  
Point Extension ◽  
Starting Point ◽  
Control Work ◽  
And Control

In view of roadway complex spatial relationships, the lack of visual expression in the mine water prevention and control work, this paper gives the water irruption flooding spread generation algorithm. Based on building tree topology from water inrush starting point extension and simulating of water down to spread and water level to rise, the algorithm generates flooding route and establishes water inrush 3D simulation system. It provides scientific basis for developing disaster relief route optimization and emergency rescue decision-making.

scholarly journals Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area

Geofluids ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Pinghua Huang ◽  
Xinyi Wang
Keyword(s):  
Water Sample ◽  
Water Samples ◽  
Mine Water ◽  
Water Inrush ◽  
Water Source ◽  
Mining Area ◽  
Information Quantity ◽  
Recognition Model ◽  
Piper Trilinear Diagram ◽  
Discrimination Rate

Source discrimination of mine water plays an important role in guiding mine water prevention in mine water management. To accurately determine water inrush source from a mine in the Jiaozuo mining area, a Piper trilinear diagram based on hydrochemical experimental data of stratified underground water in the area was utilized to determine typical water samples. Additionally, principal component analysis (PCA) was used for dimensionality reduction of conventional hydrochemical variables, after which mutually independent variables were extracted. The Piper-PCA-Fisher water inrush source recognition model was established by combining the Piper trilinear diagram and Fisher discrimination theory. Screened typical samples were used to conduct back-discriminate verification of the model. Results showed that 28 typical water samples in different aquifers were determined through the Piper trilinear diagram as a water sample set for training. Before PCA was carried out, the first five factors covered 98.92% of the information quantity of the original data and could effectively represent the data information of the original samples. During the one-by-one rediscrimination process of 28 groups of training samples using the Piper-PCA-Fisher water inrush source model, 100% correct discrimination rate was achieved. During the prediction and discrimination process of 13 samples, one water sample was misdiscriminated; hence, the correct prediscrimination rate was 92.3%. Compared with the traditional Fisher water source recognition model, the Piper-PCA-Fisher water source recognition model established in this study had higher accuracy in both rediscrimination and prediscrimination processes. Thus it had a strong ability to discriminate water inrush sources.

scholarly journals Prevention of Water Inrushes in Deep Coal Mining over the Ordovician Aquifer: A Case Study in the Wutongzhuang Coal Mine of China

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Huichao Yin ◽  
Bin Xu ◽  
Shangxian Yin ◽  
Wuzi Tian ◽  
Hui Yao ◽  
...  
Keyword(s):  
Coal Mining ◽  
Prevention And Control ◽  
Water Pressure ◽  
Water Inrush ◽  
Mining Area ◽  
Full Time ◽  
Time Space ◽  
And Control ◽  
Ternary Structure

Through field observation and theoretical study, we found that the Hanxing mining area has a typical ternary structure in coal mining under high water pressure of the aquifer. This ternary structure is the Ordovician limestone aquifer-aquiclude including thin limestones-coal seam. Although the aquiclude is considerably thick, there is still a great risk of water burst during mining under water pressure in the deep burial environment. Multidimensional characteristics of floor water inrush in deep mining are summarized in the paper, including water migration upwardly driven by the Ordovician confined water, the planar dispersion of the water inrush channel, the stepped increase of the water inrush intensity, the hysteretic effluent of the water inrush time and the exchange, and adsorption of the water quality. The water inrush mechanism is clarified that the permeability, dilatancy, fracturing, and ascending of the water from the Ordovician limestone aquifer form a planar and divergent flow through the transfer, storage, and transportation of thin limestone aquifers. The corresponding water inrush risk evaluation equation is also proposed. Based on the thickness of the aquiclude, the thickness of the failure zones, and the water inrush coefficient, the floor aquiclude is classified into five categories. While water inrush cannot be completely controlled by the traditional underground floor reinforcement with ultra-thick aquiclude or even zonal grouting, a comprehensive prevention and control concept of the four-dimensional floor water hazard in full time-space domain are proposed. A tridimensional prevention and control model of three-dimensional reticulated exploration, treatment, verification, and supplementation is presented. A full time domain technological quality control process of condition assessment, exploration, remediation, inspection, evaluation, monitoring, and reassurance is formed, and a water disaster prevention method with full time-space tridimensional network in deep coal mining is established. Case study in the Hanxing mining area demonstrates that the proposed methods are highly effective.

scholarly journals Predicting the Water-Conducting Fracture Zone (WCFZ) Height Using an MPGA-SVR Approach

2020 ◽  
Vol 12 (5) ◽  
pp. 1809
Author(s):  
Changfang Guo ◽  
Zhen Yang ◽  
Shen Li ◽  
Jinfu Lou
Keyword(s):  
Genetic Algorithm ◽  
Fracture Zone ◽  
Mine Water ◽  
Mean Squared Error ◽  
Water Inrush ◽  
Correlation Coefficients ◽  
Mining Area ◽  
Support Vector ◽  
Accuracy And Stability ◽  
Overburden Strata

Mine water that inrushes from coal-roof strata has always posed a substantial threat to mining activities every year. Therefore, an accurate prediction of the water-conducting fracture zone (WCFZ) height in the mining overburden strata is of great significance for the prevention and control of mine water accidents. The support vector regression (SVR) is proposed to predict the height of the WCFZ based on the mining depth, hard rock proportional coefficient, mining thickness and length of the working face. Simultaneously, the multi-population genetic algorithm (MPGA) is employed to search for the optimal SVR parameters. The MPGA-SVR model is trained and tested with a total of 69 collected data samples, and it is also applied to a field test. The accuracy and stability of the model were measured by the mean squared error and correlation coefficients. The obtained results show that the MPGA-SVR model achieves a higher accuracy and stability than the traditional empirical formula and genetic algorithm (GA)-SVR model. In terms of the process for optimizing the SVR parameters, the MPGA can find the optimal parameters more quickly and accurately, and it can effectively overcome the problem of premature and slow convergence of the genetic algorithm (GA). The proposed model improves the prediction accuracy and stability, which will help to avoid accidents caused by the inrush of water inrush in mining overburden strata and protect the ecological environment of the mining area.

Mining Design Optimization Research on the Northern Section of 8 Coal Seam in West No.1 Mining Area in Pansan Mine

2013 ◽  
Vol 634-638 ◽  
pp. 3394-3403
Author(s):  
Hua Wang ◽  
Chang Cai Fang ◽  
Yi Guo Shu ◽  
Li Xin Yang ◽  
De Fu Jiang ◽  
...  
Keyword(s):  
Coal Seam ◽  
Design Optimization ◽  
Mine Water ◽  
Water Inrush ◽  
Mining Area ◽  
Mine Area ◽  
Rock Pillar ◽  
Working Face ◽  
Coal Rock ◽  
Mining Design

Water in Lower Aquifer of Quaternary is one of the mine water inrush sources during working faces being mining in the Northern Section of 8 Coal Seam in West No.1 Mining Area. Water flowing fractured zone, F1 fault, F22-a fault and F48 fault are main water-conducting channels in mining. According to the analysis of geology and hydrographical geology of the mine area, and combined with “Water Prevention Regulation of Coal Mines” and “Regulations of pillar leaving and coal mining under building, water, railway and mail shaft and tunnel”, stope layout was optimized, i.e. the minimum waterproof coal(rock) pillar between working face and Lower Aquifer Quaternary is 70 meter, the waterproof coal(rock) pillar between working face and F1 fault, F22-a fault, F48 fault is 70~95 meter, 70~75 meter, 80~90 meter respectively. Each shallow waterproof coal (rock) pillar of fault is narrow at the top and tends to increasingly widen at the bottom.

scholarly journals Typical Cases of Groundwater Pollution and Control Strategies for Closed Coal Mine in China

2020 ◽  
Author(s):  
Qiyan Feng ◽  
Lai Zhou ◽  
Yongping Liang ◽  
Jianwei Zhou ◽  
Hujun Ren ◽  
...  
Keyword(s):  
Coal Mine ◽  
Mine Water ◽  
Groundwater Pollution ◽  
Prevention And Control ◽  
Coal Mines ◽  
Pollution Prevention ◽  
Mining Area ◽  
Water Infiltration ◽  
Geological Conditions ◽  
And Control

Abstract Due to the coal resource depletion, complicated geological conditions, and policy adjustment of China coal mine industry, a large number of coal mines have been closed and abandoned. The rebound of groundwater level will cause flooding of goaf and roadways after mine closure. The hydrogeological conditions change significantly as well. The pollutants will leach out, transform and transport which lead to pollution and increase risk to the groundwater system in the mining area. This research investigated closed coal mining area in Xuzhou, Zibo, Fengfeng, Kaili, Yangquan, Doulishan, Huaibei, Jiaozuo, Jingxing, Mile, etc., to present typical cases for analyzing the featured pollutants in mine water. Eight groundwater pollution pathways were summarized in closed coal mines, including pollution infiltration from surface mining fissures; submerged water infiltration pollution; leaching pollution of surface solid waste; cross strata pollution from the diversion fissure zone in the mining roof; cross strata pollution through the mining fissures in the mining floor; cross strata pollution through the water-conducting wells; cross strata pollution of faults or collapse columns; water overflow from goaf. Three typical cases on cross strata pollution in the closed/abandoned coal mine were analyzed emphatically. Aiming at the prevention and control of groundwater pollution risk in coal mine, the technical ideas of reducing quantity and pollutant of mine water, channel blocking, extraction control, purification and utilization are put forward. Based on this idea, the main pollution prevention and control technologies are recommended, and the countermeasures for the environmental protection of groundwater in closed mine are proposed.

Surface Water Quality Assessment from a Mining Area. Case study, Groapa Burlacu lake, Targu Ocna, Romania

2019 ◽  
Vol 70 (10) ◽  
pp. 3678-3680
Author(s):  
Alina Cochiorca ◽  
Narcis Barsan ◽  
Florin Marian Nedeff ◽  
Ion Sandu ◽  
Emilian Florin Mosnegutu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
Mining Area ◽  
Physical Parameters ◽  
Mining Activities ◽  
Quality Of Water ◽  
Nacl Concentration ◽  
Water Ph

This paper presents a study on assessment of water quality. According to a study, mining activities have a significant impact on water quality (lakes, surface water and groundwater), which has become a major problem globally. Due to mining and exploitation processes, lakes can be formed around these mines. Also, these lakes have been formed around the world and are steadily increasing. The purpose of this study is to watch the quality of water from the area around mining activities. This study refers to the, Groapa Burlacu lake around the mining exploitation Targu Ocna, Romania. This lake was formed on the northern bottle of the massive salt, strongly affected by the underground activities. Sampling for the determination the concentrations of Cl- and NaCl from the studied area was made at different depths (0 m, -5 m, -10 m, -15 m, -20 m, -25 m, -30 m, -35 m -40 m). Besides these concentrations, physical parameters of the water (pH, turbidity, electrical conductivity, dissolved oxygen and temperature) were also measured. To determine the physical parameters in the monitored area, sampling was done from four different points of the area and then put together for analysis. These parameters were measured on site using portable equipment. The data on the analyzed concentrations indicate that at depths of less than 5.0 m, the NaCl concentration values are more than 250 g/L.

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