scholarly journals Patterns of gob-water inrush in Chinese coalmines

2017 ◽  
Vol 12 (2) ◽  
pp. 444-452 ◽  
Author(s):  
Herong Gui ◽  
Manli Lin

Gob-water is a serious hazard in Chinese coalmines. Such inrushes have caused more than 80% of the coalmine water accidents recorded in recent years. This study is based on reviews of past gob-water hazard cases in China. Six inrush patterns are suggested, caused by gobs exposed by tunneling, channeled by faults, or fissure or caving zone channeling, damage to or collapse of water-resistant coal pillars and multi-factor interactions. The results are of relevance in all coal-producing countries wishing to contain and treat gob-water hazards.

2019 ◽  
Vol 14 (4) ◽  
pp. 851-862
Author(s):  
Herong Gui ◽  
Rongjie Hu ◽  
Honghai Zhao ◽  
Jun Li ◽  
Xiaomei Song ◽  
...  

Abstract Among all recorded water disasters in China coalmines, 10% can be attributed to surface water, making it one of the top water hazards. Based on the analysis of cases of surface water hazards in China coalmines, this article determined surface water sources and inrush conduits as the major factors that have caused water inrush disasters in mines, and classified surface water hazards in China coalmines into 15 types according to those major factors and gave definitions of each type of surface water hazard. Then, it is proposed that there are different types of surface water hazards in different coal-bearing regions by analyzing the relationship to terrain features, climatic impact and mining conditions. Finally, we discuss how typical water sources and inrush conduits work together in hazard formation, in addition to the characteristics and corresponding preventative technologies. The propositions can be of reference for exchanges with other mining countries and regions on surface water hazard treatment.


2014 ◽  
Vol 668-669 ◽  
pp. 1174-1177 ◽  
Author(s):  
Hai Yan Shao ◽  
Zhen Hai Zhang ◽  
Ke Jie Li ◽  
Jian Wang ◽  
Tao Xu ◽  
...  

Autonomous off-road navigation is a highly complicated task for a robot or unmanned ground vehicle (UGV) owing to the different kinds of obstacles it could encounter. In-particular, water hazards such as puddles and ponds are very common in outdoor environments and are hard to detect even with ranging devices due to the specular nature of reflection at the air water interface. In recent years, many researches to detect the water bodies have been done. But there still has been very little work on detecting bodies of water that could be navigation hazards, especially at night. In this paper, we used Velodyne HDL-64ES2 3D LIDAR to detect water hazard. The approach first analyzes the data format and transformation of 3D LIDAR, and then writes the data acquisition and visualizations algorithm, integrated data based on ICP algorithm. Finally according the intensity distribution identifies the water hazard. Experiments are carried out on the experimental car in campus, and results show the promising performance.


2021 ◽  
Vol 261 ◽  
pp. 03003
Author(s):  
Qin Ke ◽  
Peng Dong ◽  
Duan Huijun

two roadways in adjacent working face of Baode Mine may have the risk of water inrush at the same time, so it is necessary to construct long borehole to cover the roadway excavation. On the basis of the hydrogeological conditions of the mine, the safe water insulation thickness and water inrush coefficient of coal seam No .8 are calculated. The results show that the water inrush coefficient is 0.035-0.037 MPa/m, which is less than the critical value 0.06 MPa/m and the bottom plate has no sudden water hazard. In the construction of No .10 coal seam, the directional long borehole is used to detect whether there is a hidden structure communicating with the floor limestone and to drain water. The test shows that there is no effluent phenomenon in the borehole, which proves that there is no hidden structure in No .10 coal seam.


Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Shan Ning ◽  
Weibing Zhu ◽  
Xiaoyong Yi ◽  
Laolao Wang

Disturbances owing to coal mining result in the movement and failure of floor strata. Mining-induced fractures within the floor may propagate to the confined aquifer, thereby causing water inrush disasters. In this study, we propose using strip mining and backfill replacement mining above the confined aquifer to investigate the failure depth of the floor. The problem is simplified as a distributed force model on a half-plane body. First, the stress disturbance of the floor during strip mining is calculated and the results are combined with the von Mises yield criterion. Then, the destruction of the floor after replacing the remaining coal pillars is explored. The results show that the widths of the strip mining face and coal pillars play an important role in affecting the failure depth of the floor: the greater the width, the larger the failure depth. Based on the parametric study results, the mining face and retention coal pillar width of 20 m is sufficient to prevent the occurrence of water inrush accidents. After the replacement of the remaining coal pillars, the failure area of the floor rock mass increases, but the maximum failure depth remains unchanged. Finally, we employed field measurement techniques at the Bucun coal mine to monitor the shear and vertical strains of the floor. The data collected was compared with the predicted results obtained from the proposed theoretical model. Good agreement was found between the monitoring and calculation results, which demonstrate the effectiveness of the proposed method.


Water is the most essential need of all life forms. This essential need can also create hazards to us which comes in the form of water hazards (flood and drought). Catastrophic events, for example, flood is respected to be brought about by outrageous climate conditions just as changes in worldwide and territorial atmosphere. If precautions are not taken beforehand it becomes more and more difficult to control when it occurs. This study aimed to forecast both flood and drought using Machine Learning (ML). So as to have a clear and precise forecast of flood and drought hazard is fundamental to play out a specific and multivariate analysis among the various kinds of data sets. Multi variate Analysis means that all measurable strategies will concurrently analyses manifold variables. Among multi variate investigation, ML will give expanding levels of exactness, accuracy, and productivity by finding designs in enormous and variegated data sets. Basically, ML methods naturally acquires proficiency data from dataset. This is finished by the way toward learning, by which the calculation can sum up past the models given via preparing information in info. AI is intriguing for forecasts since it adjusts the goal methodologies to the highlights of the data set. This uniqueness can be utilized to foresee outrageous from high factor information, as on account of the risks. This paper proposes systems and contextual analysis on the application on ML calculations on water hazard occurrence forecast. Especially the examination will concentrate on the utilization of Support Vector Machines and Artificial Neural Networks on a multivariate arrangement of information identified with water level of lakes in and around Chennai and measurement of rainfall in the lakes.


2015 ◽  
Vol 60 (2) ◽  
pp. 455-475 ◽  
Author(s):  
Przemysław Bukowski

AbstractWater hazard has been accompanying underground mining since the first mines were built. The hazard is particularly often in the areas of mines situated in hydrogeologically outcropped part of USCB and in water rich formations of Cracow Sandstone Series. To plan properly mining actions and technical measures at each stage of life of a mine it is necessary to evaluate hydrogeological and geomechanical conditions and their changes. The conditions determine formation, occurrence and volume of the most serious sources of water hazard. Symptoms obtained in geomechanical tests and observations of forming and dewatering reservoirs of underground water, show that it is necessary to update constantly evaluation and classification of sources of water hazard or the state of water hazard in the coal mines of USCB.Development of underground mining in 1945-1990, which resulted in a quick increase in production, determined development and the range of influence of mining operations on the rock mass and the influence on the state of drainage and saturation of the rock mass. The result of the changes was an apparent influence on the changes in the state and shaping water hazards in the course of time. Since 1989 economic conditions of functioning of mines have been tightly associated with the conditions and rules of market economy. As a result of each of the so-called restructuring of mining activity a certain number of mining companies was closed, merged or split. The consequence is that in the vicinity of active mines and prospective mining areas, more and more often there are partially or completely flooded abandoned coal mines. Flooded coal mines have changed and still do hydrogeological conditions of their surrounding and force active mining companies to introduce changes in mining activities they are planning and conducting. The current state of flooding mine workings, is a result of realizing previous plans of restructuring mining industry, and all the changes of the state require hydrogeological documentation and evaluation of water hazard.In the today’s conditions of functioning of mining industry, sources of water hazards like water reservoirs in goafs, are one of six main types of sources of hazard, and at the same time the biggest problem and the most serious threat for active mine workings. As the hydrodynamic conditions in the closed areas stabilise and the water piles up close to the surface, an increase in the influence of reservoirs on the state of environmental and public hazard (subsidence, overflowing, flooding, pollution of water in the aquifers located in the overburden and surface water).As there is a qualitative change in the directions, causes and sources of water hazard, it shall be expected that the changes will tend to increase the threat level from the closed mines. Hence since 2000 the Central Mining Institute has been focused mainly on methodology research, both laboratory ones of various scale of observation referring to the properties of rocks and rock debris, and in situ ones and forecasting ones accompanied by proposed multidirectional applications of the developed methods in mining and environmental practice. The effect of the works was developing and patenting a few new methods. The effects of works which have been conducted in the last several years were proposed changes in defining water hazard, classifying the hazard and its sources. Classifications of underground water reservoirs, deposits located in the vicinity of reservoirs in closed coal mines and water safety of shafts were proposed. The devised test and evaluation methods have wide practical applications in evaluating water hazard and limiting the hazard, as well as estimating volume of water in reservoirs of closed mines and estimating energy of the water and free methane deposit in the abandoned goafs and mine workings. Their application in hydrogeology plays an important role in estimating volume of water in aquifers built of porous hard rocks. It is also important and applicable in environmental engineering to evaluate volume of water, estimating conditions of its accumulation and flow, and migration of pollution mainly within surface water reservoirs reclaimed with waste rock.


2013 ◽  
Vol 838-841 ◽  
pp. 2158-2161
Author(s):  
Pei Tao Li ◽  
Xiu Jia ◽  
Yi Fan Zeng

Hydrological exploration tests are designed and field data are acquired. By combination of theories and experiments, hydro geological condition and water filling factors of Mayingbao coal mine field are analyzed systematically aiming to ascertaining threatening degree of water hazard of the mine field and studying theory of mine water hazard prevention and control. According to coupling theory between GIS and AHP, models of “water abundance index” and “vulnerability index” are founded respectively. By methods of “three maps-double predictions” and “vulnerability index”, water inrush probability from roof and floor of chief exploitable coal seams in the mine field are evaluated quantitatively. Comprehensive regionalization of roof water filling probability and evaluation regionalization of floor water inrush vulnerability of the seams are formed. Based on above study, water inflow of first mining area is predicted and suggestion of water prevention and control for safety production is put forward. Nonlinear and multivariate theory in present geoscience research is improved because of the above results and the research provides necessary basic data for the mine designing, preliminary and feasibility research and subsequent safety production.


2018 ◽  
Vol 11 (18) ◽  
Author(s):  
Weibing Zhu ◽  
Shengchao Yu ◽  
Dayang Xuan ◽  
Zhenjun Shan ◽  
Jialin Xu

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jingzhong Zhu ◽  
Yu Liu ◽  
Qimeng Liu ◽  
Sen Yang ◽  
Jiajun Fan ◽  
...  

The coal-forming period is mainly Permian and Carboniferous in the North China coalfield, which is one of the main coal accumulating areas in China. It is characterized by high coal rank, abundant reserves, and varieties. However, water outburst accidents originating from karst aquifers under the coal seam floor have become a terrible disaster in accompany with the deep coal exploited progressively. Water inrush events of the deep limestone have often occurred during excavation in mines. To decrease the risk of high confined water from the coal seam floor and ensure the mining under the safe water pressure of limestone aquifers, the comprehensive exploration and regional treatment are all implemented, such as drainage depressurization, curtain grouting, and grouting transformation of aquifers. Through the comprehensive treatment of the ground and underground, the water channel will be effectively filled with slurry to prevent limestone water bursting into the roadway, and the value of water-inrush coefficient is decreased below the critical value. In the study, utilizing COMSOL Multiphysics based on the finite element method to verify and determine the real layout of grouting parameters, the result shows the design plans satisfy the engineering requirements. 13321 working face located in South No.1 mining area has analyzed the effect of water hazard prevention and control. On the basis of the analysis of geophysical prospecting and validation boreholes, it is concluded that the fracture is filled with grouting slurry to block water-conducting channel effectively. In turn, the rational design parameters of grouting are confirmed as well. Finally, the water-inrush coefficient of Taiyuan formation limestone and Ordovician limestone water is calculated, respectively. The result shows that water-inrush coefficient is less than the critical value after treatment, the safety of excavating coal seam can be further assured.


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