In order to solve the problems of unreasonable allocation and low efficiency of emergency rescue resources in coal mine accidents, it is necessary to establish a coal mine emergency rescue resource allocation model by using comprehensive weight-approximation ideal solution (TOPSIS method).This paper takes rock burst in a coal mine as an example by extending this designed emergency rescue plan. Firstly, calculated the weight of the evaluation index affecting the emergency rescue is selected by AHP method and entropy weight method respectively. Then weight optimization is inspired by comprehensive weight method. Finally, the optimal scheme is selected by TOPSIS method, and the model is verified by AHP method approaching ideal solution and entropy weight method approaching ideal solution. The results shows that: (1) There are two influencing factors have great effect on the evaluation of coal mine emergency rescue model, which are rescue time and advance of rescue channel; (2) The optimal scheme is program 5 through comprehensive weight approaching ideal solution, which is consistent with the actual situation of the project, indicating that the model has high reliability.

To study and prevent bed separation water inrush accidents in coal mines, it is necessary to evaluate the risk according to the limited geological data correctly. In this work, based on hydrogeological and mining conditions, we established a risk evaluation model and selected seven important factors, including the aquifer thickness, aquifer water abundance, hydraulic pressure of the aquifer, effective aquifuge thickness, mining failure ratio, mining height of the working face, and advancing distance as evaluation indexes. The intuitionistic fuzzy analytic hierarchy process (IFAHP) and entropy weight method (EWM) were used to analyze the weights of the original data, and the minimum information entropy principle was used to further integrate the abovementioned calculation results. With the weight results, set pair analysis–variable fuzzy set (SPA-VFS) theory was applied to determine the risk grade of each working face, which provided scientific guidance for the safe mining of coal mines. For the working face where water inrush may occur, the risk of bed separation water inrush can be reduced by optimizing the parameters or changing the mining conditions through the model analysis.

Karst tunnels commonly pass through large karst caves during their construction and operation. Although treatment technologies are relatively mature, a systematic treatment method to guide the selection of treatment technologies is lacking. To solve this problem, a spatial decomposition method (SDM) of large karst caves is proposed that is based on analyzing the spatial relationship between tunnels and karst caves and summarizing the relevant treatment techniques. In this method, the space between the tunnel and the cavern is divided into eight parts using a space dividing line (SDL), which makes the spatial position relationship between the tunnel and cavern more intuitive. A geometric model of the SDM is established, and the numerical values of each geometric parameter are determined by field surveys and drawings. Constructing a three-dimensional spatial diagram by applying relevant parameters to the geometric model provides a reference for selecting a treatment technology. The SDM of the arch top, arch bottom, and two wings matching the treatment technology is proposed. Seven principles of technical selection—namely, safety, convenience, scientificity, sustainability, economy, feasibility, and openness—are mentioned in order to overcome the difficulty of technology selection due to such factors as technological diversity, materials, equipment, and environment. Finally, the SDM is used to solve the problem of the Shangyuan tunnel passing through a large karst cave. The implementation of the SDM in tunnel construction would represent a significant breakthrough and has important engineering value in solving the problem of tunnel passes through large karst caves.

Coal will continue to play an important role in China’s economic development and social development in the coming decades. However, due to the complex distribution conditions of coal resources, the mining of coal resources is subject to various restrictions. Coal and gas outburst is an important issue in coal mining, and the threat to the mining of coal resources caused by high gas outburst activity has been receiving more attention. In order to solve the problems related to safe and efficient mining under coal seams with gas outburst, such as mining difficulties, large amounts of work, resource waste, no guaranteed gas treatment time, and low economic efficiency, it is necessary to innovate mining technology and methods for managing gas outburst in coal seams to improve the efficiency of coal mines and to solve the above problems. This study proposes a green mining technical method system known as the “L-H method”, which is applicable to the safe and efficient mining of coal seams with gas outburst based on combined theoretical analysis and numerical simulation. The following research results are achieved: (1) The “L-H method” is proposed, and a mining area model of coal seams with gas outburst is established. The specific details of the method and the implementation process are introduced. (2) Examples of H coal mine applications are presented, and the effects of the implementation of the “L-H method” are analyzed and summarized through mine pressure observations from roadways, and it is concluded that the implementation of top-cutting and pressure-relief technology has a good control effect on the roadway-surrounding rock and that gas extraction reaches the national standard of less than 8 m3/t for protrusion prevention; this ensures safety and also achieves efficient mining. This study will provide a good reference for the implementation of green mining methods to similar coal and gas outburst mines.

The deep resources of the gold mines have great potential to be the leading area of the national gold industry. However, with the increase of mining depth in Jiaojia gold mine of Shandong province, China, the overburden stress is increasing, the spatial and temporal distribution of mining stress field is more complex to cause spatial structure of overlying strata seriously damaged, which often leads to mine water disaster. Therefore, the research on the law of surrounding rock stress and water-conducting fractured zone development has become an important topic for safe mining of gold mines. In this paper, based on the analysis of borehole data and profile map, three-dimensional geological model was established to predict the height of the water-conducting fracture zone by using Sufer17, Rhino 6, Griddle plug-in and FLAC3D software, and the mining process with the method of downward horizontal slice stoping-filling was simulated by using constitutive model. Results show that the maximum height of the water-conducting fractured zone is about 21.2 m during the whole mining at -700 level, the shape is from near horizontal to micro arch, the failure range of the plastic area near the fault is larger than that far away from the fault. The stress distribution on both sides of the fault is not continuous, which is larger in the hanging wall than that in the footwall. The stress concentration zone is formed in the front and back of the stope during mining process and increases with mining depth. This method can restore the original state of underground stress field to the greatest extent, and make up for the lack of empirical formula theory and the limitation of similar material method for deep mining, which is relatively more accurate and reliable.