Abstract
The study aims to study the prevention and control of mine water inrush and the evaluation of hydrogeological types, thus realizing the effective treatment of mine water and the effective utilization of resources, and expanding the application of numerical simulation methods and algorithm tools in the mine water inrush problem. Starting from the identification of mine water source, first was the use of Fisher discrimination combined with the improved Dijkstra’s algorithm and propose the shortest distance identification principle and the best way to avoid danger. Second, through establishing the numerical model of the fluid-structure coupling, the mechanism of the mine fault water inrush was discussed, and the hydrogeological type of the fault was analyzed. Third, the karst water numerical model was established for achieving the prediction of the amount of the karst water in the period of the mine water inrush. The results showed that Fisher discrimination had high accuracy and good applicability in the identification of water inrush source, and the shortest path calculated by improved Dijkstra’s algorithm is scientific. The evolution of water flow in the disturbed area of fault zone had experienced the process from pore flow to fracture flow and then to pipeline flow. The relative root mean square error (RRMSE) in the application and evaluation of the karst water numerical model is less than 10%. In a word, the fitting effect of the numerical model is good, which can be used in the prediction of mine drainage.
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This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis
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Chen, J., Li, F. & Lian, Z. The hydrogeology of mine water inrush period using Dijkstra’s algorithm. Arab J Geosci 13, 825 (2020). https://doi.org/10.1007/s12517-020-05846-1
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DOI: https://doi.org/10.1007/s12517-020-05846-1