An improved model to predict the water-inrush risk under an unconsolidated confined aquifer based on analytic hierarchy process and information value method

To prevent water inrush hazards of mining under the Quaternary unconsolidated confined aquifer in North China coalfield, it is necessary to build a prediction model guarantee coal safety production. The current method evaluating aquifers easy fall into problems simple superposition evaluation factors, large subjectivity factor selection, and low accuracy results. In this paper, an analytic hierarchy process (AHP) improved according contribution information value (IVM) analyze impact factors. weight values are considered calculating total IVM coupled AHP-IVM model. each calculated through IVM, area curve (AUC) used rank exclude subjective judgment importance factor. geological hydrogeological data Qinan mine Huaibei coalfield analyzed organized. results suggest that has AUC 0.8309, indicating its great potential practical significance for future operations.