Water Science and Technology (Feb 2022)

Spatiotemporal modeling of water inrush spreading in mine roadway networks

  • Xiaoyan Zhang,
  • Qiang Wu,
  • Yingwang Zhao,
  • Shouqiang Liu,
  • Hua Xu

DOI
https://doi.org/10.2166/wst.2022.009
Journal volume & issue
Vol. 85, no. 3
pp. 872 – 886

Abstract

Read online

Water inrush accidents seriously threaten underground mining production, so the accurate prediction of the spreading process of water inrush is essential for the formulation of water-inrush-control plans and rescue schemes. This paper proposes a spatiotemporal model based on pipe-flow theory to simulate the spreading process of water inrush in mine roadway networks. The energy-loss term is added to this model to improve the simulation accuracy in bifurcated roadways, and pumps and water-blocking equipment are considered in controlling the spreading process of water inrush. Through experimental case studies, the simulation results and the function of the energy-loss term are verified. A sensitivity analysis is then carried out to assess the impact of the model parameters. The results show that the model outputs are most sensitive to the roadway length, cross-section width, and energy-loss coefficient. The model exhibited maximal sensitivity to the geometric parameters compared with the hydraulic parameters. Furthermore, the spreading process of a real water inrush in a coal mine in North China is simulated, and the water-inrush-control measures are evaluated. The overall results indicate that the proposed spatiotemporal model accurately predicts the spreading process of water inrush and is thus applicable to large-scale mine roadway networks. HIGHLIGHTS This paper proposes a spatiotemporal modeling approach to simulate the water-inrush spreading in mine roadway networks, which is verified by physical model tests.; The energy-loss term is added to this model to improve the simulation accuracy.; Pumps and water-blocking equipment are considered in controlling the spreading process of water inrush.; The importance of main parameters is assessed by sensitivity analysis.;

Keywords