Abstract
Coal seam roof water breakout problem is a serious threat to the safe production of coalfield mines, accurate prediction of the water richness of the well field is of great significance to the coal mining as well as mine water control. Aiming at the problem of coal bed roof water breakout, the water richness evaluation of the Neogene and Permian strata between the coal bed and the surface was carried out. Taking a mine located in Shandong, China as the study area, we have selected ten influencing factors to establish a multi-index water richness evaluation system that comprises three indicators. A water richness prediction method based on the Game Theory combinatorial weighting and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) has been proposed, and a water richness evaluation model has been established accordingly. Using the Entropy Weight Method (EWM) and the improved Criteria Importance Through Intercriteria Correlation (CRITIC) method to obtain the weights of the indicators, and combining them with the Game Theory. The results show that the influence of the overlying strata of the coal seam on the safe mining of coal mines in the study area mainly exists in the southern region of the well field, and the scope of the stripping danger zone is circled, which is more consistent with the actual measurement, indicating that the accuracy and feasibility of this method are high, and it provides a new idea and method for the Similar issues.