Kriging interpolation reconstruction of surrounding rock moisture content field

Water hazards under coal mining conditions seriously affect the normal production of the mine and the safety of personnel. Accurately and comprehensively obtaining spatial distribution information of water in surrounding rocks is a prerequisite for preventing water disasters. However, due to the limitation of underground working space in coal mine, it is usually only possible to arrange sparse monitoring points to obtain the distribution of water inside the rock mass, and the measurement results are uncertain, which leads to a certain challenge in rebuilding and evaluating the surrounding rock water content field. In this paper, Kriging interpolation method is applied to spatial reconstruction of surrounding rock moisture content field. The estimation calculation model of the kriging space interpolation method in the whole space range of surrounding rock is proposed, and the expression of the moisture content variation function is obtained. By comparing the average error and mean square error of five variogram models of Kriging interpolation method, it was found that the sample variogram model is more suitable for spatial water field reconstruction. The applicability of the theoretical model was verified by applying the reconstructed water content field estimation model to similar material model experiment. The error between the water content calculated by Kriging interpolation and the actual measured FDR value was less than 2.5%. Kriging interpolation reconstruction of the spatial distribution of surrounding rock moisture content will be beneficial for estimating water hazard information at non-monitoring points.