Abstract
The accurate prediction of mine surface subsidence is directly related to the reuse area of land resources. Currently, the probability integral method is the most extensive method of surface subsidence prediction in China. However, its prediction precision largely depends on the accuracy of the selected parameters. When the mining area lacks measured data, or the geological and mining conditions change, particularly for large-scale surface subsidence prediction, the reliability of the prediction of surface subsidence is poor. Moreover, there is a lack of a systematic summary of the correct selection of prediction parameters. Based on this, the paper systematically investigated the influence of geological and mining conditions on the prediction parameters of the probability integral method. The research findings were obtained via theoretical analysis. The research outcomes can provide a scientific basis for properly selecting the prediction parameters of the probability integral method. Last, the results of this paper can be applied to predict the surface subsidence of Pei County in the north, laying the foundation for the integration of Pei County.
Highlights
The exploitation of coal resources can cause various environmental and geological disasters [1,2], which mainly refer to surface subsidence
When the mining area absences measured data or the geological and mining conditions vary, for large-scale surface subsidence prediction, it will cause the lack of a systematic summary for properly selecting prediction parameters
This paper systematically investigates the impact of geological and mining conditions on the prediction parameters of the probability integral method based on the theoretical analysis, and the corresponding research results were attained
Summary
The exploitation of coal resources can cause various environmental and geological disasters [1,2], which mainly refer to surface subsidence. When the mining area absences measured data or the geological and mining conditions vary, for large-scale surface subsidence prediction, it will cause the lack of a systematic summary for properly selecting prediction parameters. It is necessary to study the influence law of geological and mining conditions on the prediction parameters of the probability integral means. Some scholars have worked on the influence of geological and mining conditions on the prediction parameters [22,23,24,25], a more systematic analysis and summary still are required. This paper systematically investigates the impact of geological and mining conditions on the prediction parameters of the probability integral method based on the theoretical analysis, and the corresponding research results were attained. The research outcomes of this paper can be used to predict the surface subsidence of northern Pei County and lay the foundation for the integration of this area
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