scholarly journals Risk Evaluation and Leakage Mechanism on Runoff in Coal Mining Area—A Case Study in Jinjie Coal Mine of Tuwei River

2021 ◽  
Author(s):  
Le Bai ◽  
Hongmou He ◽  
Shu Li ◽  
Xinwei Guo ◽  
En-kuan Li
Keyword(s):  
Coal Mining ◽  
Water Flow ◽  
Coal Mine ◽  
Mining Area ◽  
Evaluation Criterion ◽  
Bottom Plate ◽  
Borehole Data ◽  
Coal Mining Area ◽  
Classification Pattern ◽  
Cracking Zone

According to the aims of the runoff protection in coal mining area, taking Jinjie coal mine as an example, the risk zonation and mechanism of runoff leakage were carried out based on the dimen-sionless multi-factor information fusion technique. Based on the analysis of field exploration and borehole data, four key factors affecting the runoff leakage from the roof were identified, which included the deposition features of aquifer in Sala Wusu Group, the distribution of overburden rock and soil mass, effective thickness of aquiclude layer and the height of water flow cracking zone. The evaluation criterion was whether the development height of the water flow cracking zone reaches or exceeds the bottom plate of the sandy phreatic aquifer and even penetrates the surface ground, which results in the complete or partial leakage of the phreatic water. According the evaluation criterion, the influence of coal mining disturbance on runoff leakage was divided into three zones: zone of seriously runoff leakage, zone of general runoff leakage and zone of slight runoff leakage. Furthermore, the influence mechanism of different zones in coal mining also been discussed preliminarily, which included drainage Sarawusu aquifer, groundwater leakage in Sarawusu aquifer, water level fluctuation in Sarawusu aquifer and so on. Finally, classification pattern diagram was drawn.

3D Visualized Technique for Coalbed Methane Integrated Surface and Underground Drainage

2013 ◽  
Vol 347-350 ◽  
pp. 2998-3001
Author(s):  
Xin Feng Du
Keyword(s):  
Coal Mining ◽  
Coalbed Methane ◽  
Drainage System ◽  
Original Data ◽  
Mining Area ◽  
Borehole Data ◽  
Geological Body ◽  
Coal Mining Area ◽  
3D Elements ◽  
Static Modeling

According to the different features of 3D elements in the coalbed methane (CBM) surface and underground drainage system in the coal mining area, and adopting the 3DMAX static modeling of the drainage equipment and the dynamic modeling of the geological body based on the borehole data, the 3D model of the CBM drainage element in coal mining area is realized. Applying the techniques such as the original data analysis to control the accuracy of the interpolation algorithm, and the blanking and cutting of the window, the visualized functions of the 3D elements such as the multiple-angle observation, magnification, roaming, rotation, translation, stack, peel, transparency and texture treatment are realized.

scholarly journals Dynamic Evaluation of Water Utilization Efficiency in Large Coal Mining Area Based on Life Cycle Sustainability Assessment Theory

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Junyao Yang ◽  
Liangliang Guo
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Sustainability Assessment ◽  
Electricity Consumption ◽  
Mining Area ◽  
Utilization Efficiency ◽  
Life Cycle Sustainability Assessment ◽  
Water Efficiency ◽  
Water Utilization ◽  
Coal Mining Area

Coal mining enterprises have a variety of water sources, complex drainage structures, long production chain, and many links, which lead to uncoordinated water utilization and low water efficiency. Taking a large coal mining area of China as an example, a dynamic model was established to evaluate the water utilization efficiency based on the Life Cycle Sustainability Assessment (LCSA) theory. In the model, the influence of five aspects (including resources, economy, technology, society, and environment) and 19 factors was considered. The game theory method was adopted to calculate the fusion weights of the 19 factors according to the analytic hierarchy process and CRITIC method. The CW-VIKOR method was used to explain the dynamic evaluation results of water efficiency in the coal mining area. The results show that the environmental impacts of the mining system mainly come from three aspects: regional drainage, domestic sludge landfill and disposal, and water system electricity consumption. Electricity consumption in water systems has the greatest environmental impact, accounting for about 73%, regional drainage for about 26%, and domestic sludge landfill and disposal for about 1%.The CW-VIKOR approach can harmonize the interrelationships among resources, economy, technology, society, and environment. It is an effective method for LCSA of water resource in the coal mining area. The reliability of the evaluation results is high and close to the actual situation. The dynamic model established in this paper is also applicable to other coal mine areas, and only the factor weights need to be modified according to the specific characteristics of each coal mine. The model can provide guidance for optimal exploitation and allocation of coal mine water resources.

scholarly journals Evaluation of Eco-environmental Quality of Coal Mining Area Using Multi-source Data – A Case Regarding Ibei Coalfield, Northwestern China

2021 ◽  
Author(s):  
Huan Jiang ◽  
Gangwei Fan ◽  
Dongsheng Zhang ◽  
Yibo Fan
Keyword(s):  
Spatial Autocorrelation ◽  
Environmental Protection ◽  
Coal Mining ◽  
Environmental Quality ◽  
Coal Mine ◽  
Evaluation System ◽  
Projection Pursuit ◽  
Mining Area ◽  
Coal Mining Area ◽  
The Impact

Abstract Eco-environmental evaluation is a prerequisite for balancing the relationship between coal resource recovery and eco-environmental protection. This paper divides the eco-environment system in coal mining area into 5 subsystems regarding geomorphology, climate, hydrology, land and vegetation, and human activity. Within the 5 subsystems, 13 indicators capable of reflecting eco-environment levels of coal mine fields are selected, weighed using genetic projection pursuit model, and applied to eco-environmental quality evaluation. Based on this, the spatial feature of the quality is analysed using spatial autocorrelation method, recognising the areas that need managements. Factors driving the eco-environment characteristics of coal mines are identified using geographic detector. The feasibility of the developed evaluation system is verified with Ibei Coalfield as a case. The results show that Ibei Coalfield sees a spatially heterogeneous eco-environment pattern. Geographic detector can quantify the impact of various indicators on ecological environment, and the indicator is of stronger interpretation ability as interacting with others. It is also indicated that mining area eco-environment is nonlinearly correlated to impact indicators. The spatial autocorrelation analysis suggests three areas that should be treated strategically, that are the management area, close attention area and protective area. This paper can provide scientific references for mining area eco-environmental protection, which is significant for the sustainability of coal mine projects.

Study on Regulations of Coal Mining under Highway

2013 ◽  
Vol 734-737 ◽  
pp. 666-670
Author(s):  
Wei Nan Deng ◽  
Hua Xing Zhang
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Mining Area ◽  
Coal Production ◽  
Failure Characteristics ◽  
Deformation And Failure ◽  
Coal Mining Area ◽  
Mining Design ◽  
Principal Parts

For guiding coal mining under highway scientifically and systematically, Regulations of coal mining under highway is necessary to be compiled in a few years in China.Base on the study of laws about highway and coal mining and existent regulations about coal mining under other constructions, this paper proposed the principal parts of the regulations according to the deformation and failure characteristics of highway caused by the effect of coal mining.The study provided the supports about theories and mining technologies for extracting unexploited coal under highway, increasing the coal production, optimizing mining design, prolonging the coal mine life and put forward some constructive suggestions for completing the regulations in the coal mining area in China.

Blood markers among residents from a coal mining area

2020 ◽  
Vol 28 (2) ◽  
pp. 1409-1416
Author(s):  
Ana Paula Bigliardi ◽  
Caroline Lopes Feijo Fernandes ◽  
Edlaine Acosta Pinto ◽  
Marina dos Santos ◽  
Edariane Menestrino Garcia ◽  
...  
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Coal Mining Area
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