Abstract

Subsidence water disaster has become a major problem to the ecological environment because of the submerged villages, farmland destruction, and ecological destructive changes in the mining subsidence area of high-water level. Taking the 1031 working face of Wugou Coal Mine in Huaibei, Anhui, China, as the research subject, (1) a three-dimensional (3D) spatial information dynamic prediction method was proposed for high-water-level coal mining subsidence areas by combining the Knothe time function based on the probability integration method (PIM) and the principle of water balance. (2) The dynamic evolution law of the water accumulation area in the high-water-level coal mining subsidence area was studied. (3) The applicability of the dynamic prediction model of the water accumulation range in the high-water-level coal mining subsidence area was verified. The results showed that the dynamic prediction of the 3D spatial information of the high diving area is highly accurate and can be suitable for the dynamic prediction by comparison with the results of remote sensing monitoring and field measurement. As a result, technical reference and theoretical basis for the comprehensive assessment and remediation of the ecological environment of the high diving mining subsidence area were proposed.

Highlights

  • Fractured rocks in the subsurface are ubiquitous, and the dynamics of mass transfer in the fractured rocks play an important role in understanding the problem in engineering geology and environmental geology [10]

  • Subsidence and accumulated water disasters have become the primary ecological environment problems faced by coal mine subsidence areas with high phreatic levels

  • At 5000 m2, the meteorological data of Huaibei City indicate that the winter temperature is less than 0°C, and the low temperatures result in a reduction in actual evaporation. us, the observation value is less than that predicted by the dynamic prediction model

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Summary

Introduction

Coal is China’s main energy source, accounting for approximately 70% of primary energy production and consumption [1,2]. In the areas with high diving sites, coal resource mining causes surface subsidence and accumulates a large range of water in the subsidence area. (3) e dynamic prediction of surface water range in high diving coal mining subsidence area is limited. The development of remote sensing technology has been relatively mature, most existing studies focus on a single mining area or a working surface, few large areas, and long-time effect of water dynamic evolution characteristics. A dynamic prediction model of the water accumulation area in the high-water-level coal mining subsidence area was established. Erefore, taking the working surface of Wugou Mine 1031 as the research area, the three-dimensional (3D) spatial information of the coal mining subsidence water accumulation area of 1031 was dynamically predicted, and the dynamic evolution law of the water accumulation range was analyzed.

Overview of the Study Area
Obtaining the Geological Mining Parameters
Calculating the Subsidence
Calculating the Water Accumulation Volume in the
Calculating the 3D
Dynamic Sinking Is Expected
Probabilistic
Knothe Time Function
Dynamic Sinking
Volume Calculation of the
Calculation of Water Accumulation in the
Engineering Application
Remote Sensing Monitoring and
Unformed Period
Synchronous Growth Period
Residual
Relative Stability Period
Findings
Conclusion
Full Text
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