Using the Vulnerable Index Method to Assess the Likelihood of a Water Inrush through the Floor of a Multi-seam Coal Mine in China

Abstract

Water inrush through a mine floor is a complicated nonlinear phenomenon, which is controlled by multiple factors. Different coal seams can have different vulnerabilities, even if they are in the same mine and the same district. To assess the differences in vulnerability between multiple coal seams, we used data from three coal seams of the Tashan Coal Mine. Analysing the results indicates that the vulnerable index method, which incorporates GIS, has many potential advantages in evaluating the likelihood of water inrushes compared to the water inrush coefficient method that has traditionally been used in China.Keywords AHP Á China Á Floor water inrush Á Multi-seam mine Á Vulnerability index method Á Water inrush coefficient method

Evaluation of the Water Yield of Coal Roof Aquifers Based on the FDAHP-Entropy Method: A Case Study in the Donghuantuo Coal Mine, China

“…The factors that affect the water yield are the permeability coefficient, consumption of drilling fluid, core recovery, aquifer thickness, brittle-plastic rock thickness ratio, fault scale index, and fault point density. The IWYPI model established by the CWM takes into account the internal relations between the opinions of experts and various factors influencing the water yield; this model effectively reflects the common control of aquifer lithology, hydraulic characteristics, and fault factors on the aquifer water yield and overcomes the problem that there are generally limited amounts of water inflow data for boreholes in mines (2) Engineering practice shows that the accuracy of the IWYPI model based on the CWM is as high as 93.75%, which is 18.75% and 12.5% higher than that of the WYPI model based on the FDAHP and EWM, respectively. The evaluation results show that the zones with rich and richer water yields are mainly distributed in the southern and middle regions, the zones with medium water yields are mainly distributed in the northern and middle regions, and the zones with poor water yields are mainly distributed in the northeast, central, and western regions.…”

“…As the largest coal mining country in the world, China also has some of the most serious mine water disasters [1][2][3]. Especially with the large-scale development of deep resources, the prevention and control of water disasters remains a top priority and is complicated by many problems and challenges.…”

Investigation on Failure Characteristics of Coal Seam Floor in Paste Filling Working Face

“…Based on the "lower three zones" analysis method, Yin et al [27] built a conceptual model for predicting water inrush in deep mines containing multiple aquifers below the floor and deemed that there are four types of water inrush modes. With regard to the risk assessment of water inrush from the floor, a series of theoretical methods were developed to predict it, such as the PCLRA-PCLRA method [28], vulnerable index method [29], and water-inrush coefficient method [30]. Zhang and Yang [31] also presented a novel dynamic predictive method of water inrush from the coal floor based on a gated recurrent unit model, which is proven to have a high degree of reliability.…”

Roadway Surrounding Rock under Multi‐Coal‐Seam Mining: Deviatoric Stress Evolution and Control Technology

“…Li et al [8] detected the development of cracks in the floor of the upper coal seam after the mining of the lower coal seam. Qiang et al [9] used a geographic information system to evaluate the likelihood of water inrushes and showed that different coal seams have different vulnerabilities in multiseam mining conditions. Zhang et al [10] addressed the peak stress and influencezone location for concurrent pillar recovery in two coal seams with 21 m of interburden at an approximate depth of 305 m. Deutsch and Wilde [11] modeled multiple coal seams in three dimensions without surface-contour or isochore mapping.…”