On prevention and mechanism of bed separation water inrush for thick coal seams: a case study in China

et al. 2019

R. Soc. open sci.

During the transition from open-pit to underground mining in iron ore mines, water inrush is a prominent problem for mine safety and production. In this paper, a comprehensive method that incorporates hydrochemical analysis and numerical simulation is proposed to analyse the characteristics of water inrush during the transition from open-pit to underground mining. The proposed method revealed the migration law of groundwater and analysed the source of mine water inrush in the Yanqianshan iron mine located in Liaoning province, China. The results show that the excavated mine roadway is the primary factor affecting groundwater migration and that the source of the mine water inrush is the groundwater in the aquifer around the mine roadway. Moreover, based on the results of the study, appropriate methods for prevention and treatment of mine water inrush were proposed. This approach provides a novel idea for the assessment of water inrush hazards and will serve as a valuable reference for analogous engineering cases.

Section: Discussionmentioning

confidence: 99%

“…open sci. 6: 181402 cannot rapidly and effectively solve the drainage problem in the study area [43,44]. Therefore, a multilevel drainage method was adopted for the treatment of mine water [45] (figure 15).…”

Section: Discussionmentioning

confidence: 99%

Water inrush characteristics and hazard effects during the transition from open-pit to underground mining: a case study

et al. 2019

R. Soc. open sci.

“…This method was used in the Yuanzigou Coal Mine, and its prediction was consistent with the results obtained from a field borehole video. Li et al 15 explored the development position of roof bed separation in Hongliu Coal Mine through field drilling and color TV and detected the accumulation process of groundwater in the bed separation space through the underground whole-space transient electromagnetic method. Lu et al 16 constructed a risk evaluation system of separation water inrush using the fuzzy analytic hierarchy process and entropy weight method (EWM), in which the hard rock thickness, coal seam thickness, aquifuge thickness, aquifer thickness, and hydrostatic head were selected as evaluation indexes.…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the Risk of Water Inrush Due to Roof Bed Separation Based on Improved Set Pair Analysis–Variable Fuzzy Sets

Wang

et al. 2022

ACS Omega

To study and prevent bed separation water inrush accidents in coal mines, it is necessary to evaluate the risk according to the limited geological data correctly. In this work, based on hydrogeological and mining conditions, we established a risk evaluation model and selected seven important factors, including the aquifer thickness, aquifer water abundance, hydraulic pressure of the aquifer, effective aquifuge thickness, mining failure ratio, mining height of the working face, and advancing distance as evaluation indexes. The intuitionistic fuzzy analytic hierarchy process (IFAHP) and entropy weight method (EWM) were used to analyze the weights of the original data, and the minimum information entropy principle was used to further integrate the abovementioned calculation results. With the weight results, set pair analysis–variable fuzzy set (SPA-VFS) theory was applied to determine the risk grade of each working face, which provided scientific guidance for the safe mining of coal mines. For the working face where water inrush may occur, the risk of bed separation water inrush can be reduced by optimizing the parameters or changing the mining conditions through the model analysis.

“…Earlier, on June 2, 1984, two mines were submerged due to a water-inrush accident at Fangezhuang coal mine in Hebei Province. To prevent water inrush, significant research has been devoted to examining its mechanisms (Sammarco 1986;Shi et al 2017;Li et al 2018), water sources (Guo et al 2015;Jiang et al 2019;Wu et al 2019;Zhang et al 2020), and how to predict it (Meng et al 2012;Hao et al 2017;Wu et al 2021). However, water inrush accidents are still frequent and difficult to accurately predict because of increasingly complex hydrogeologic conditions that occur with increasing mining depth.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal modeling of water inrush spreading in mine roadway networks

Water Science and Technology

Zhao

et al. 2022

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.