Prediction of water enrichment of weathered bedrock based on Bayes discriminant model

Weathered bedrock aquifer is the main water-filled aquifer for coal mining in Jurassic coalfields in northern Shaanxi. The regional prediction of the water richness of weathered bedrock aquifer is the key to mine water control. Taking the central and western part of Hongliulin Minefield as the research area, based on the analysis of the factors affecting the water-richness of the weathered bedrock, the thickness of the weathered bedrock, the core removal rate, the degree of weathering, the combination of lithology, the top elevation of the weathered bedrock and the sand base ratio are selected to use as the discriminant indexes, 41 groups of effective weathered bedrock borehole pumping test data in the study area are used as training samples and verification samples with a 3∶1 random allocation method to construct a water-rich Bayes discriminant analysis model. This model is used to