Simulation and application of mine water inrush spreading based on water balance in the control area of coal seam floor elevation

WU Qiang; WANG Xiao; ZHAO Yingwang; ZHANG Xiaoyan; JIA Minghui

doi:10.13247/j.cnki.jcumt.20240572

Abstract：The simulation of mine water inrush spreading serves as a crucial essential founda-tion for formulating emergency rescue and disposal plans for water disasters.To address the computational inefficiency inherent in traditional numerical simulation methods,this study proposes a novel approach for simulating mine water inrush spreading based on water balance in the control area of coal seam floor elevation.Based on the coal seam floor elevation and spa-tial distribution characteristics of mining space,this study systematically analyzes the control-ling effects exerted by localized elevation features(high/low points)and hydraulic bifurcation/diversion points during water inrush spreading.Thus,the mining space is regionally divided,and the concept and division method of the control area are proposed.The water balance prin-ciple reveals a corresponding correlation between the accumulated water level within a control area and the cumulative inflow into that region.The global spreading process of water inrush within the mine is governed by both the cumulative water inflow volume and the adjacency re-lationships between control areas.This methodology simplifies computational complexity by reducing the topological scale of the mining space(using control areas as fundamental units)and streamlining localized spread calculations through water balance analysis,thereby signifi-cantly accelerating global simulation speed.However,the depiction of the local spread process is relatively coarse.To address this limitation,high-resolution simulations of localized water flow in roadways are conducted using Fluent,a three-dimensional computational fluid dynam-ics(CFD)software.These simulations quantify flow velocity distributions under varying road-way slopes during downward water movement and characterize diversion patterns across differ-ent bifurcation geometries.Regression analysis modeling is conducted using the random forest method for refined simulation of the local spread process.A case study of the West Well in Xingtai Mine demonstrates the method's effectiveness in simulating water inrush spreading across a working face.The results show that the simulation method of mine water inrush spreading based on water balance in the control area of coal seam floor elevation enables precise calculation of mine-wide water accumulation levels at arbitrary time while dynamically tracking water inrush spreading patterns.Notably,this approach achieved a 60-fold acceleration in computational efficiency compared to conventional numerical simulations when modeling 12-hour water inrush scenarios.Furthermore,the framework allows rapid determination of both cumulative water volumes and critical submersion timelines for key locations along evacuation and rescue routes,providing direct references for emergency rescue and disposal.