Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers

Longqing Shi, Tianhao Liu, Xiaoyang Zhang, Dongjing Xu and Weifu Gao
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Longqing Shi: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Tianhao Liu: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Xiaoyang Zhang: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Dongjing Xu: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Weifu Gao: College of Natural Resources, Shandong University of Science and Technology, Tai’an 271019, China

Energies, 2021, vol. 14, issue 16, 1-19

Abstract: Accurate prediction of the water-bearing capacity of aquifers is crucial for protecting the surface ecological environment and ensuring safety during coal mining. In this study, a macro–micro combination was used to investigate the water-bearing capacity of bedrock aquifers. At the micro-level, the micro pore parameters of various sandstones were determined through cast sheeting. At the macro-level, the porosity and water absorption rate of various sandstones were determined experimentally. After that, a new index weighting method was proposed to comprehensively evaluate the water-bearing capacity index of sandstone. According to this method, the water-bearing capacity of aquifers in the Guojiahe coalmine were evaluated. The research results revealed that the water-bearing capacity of sandstone was mainly related to its pore connectivity, and the water-bearing capacity of sandstone in the Luo’he and Zhi’luo formation was considerably greater than that in the Yan’an formation. The water bearing capacity of strata in the eastern part of the mining area is lower than that in the western part of the mining area. The research results can provide considerable money savings for coal mining and protect the ecological environment and groundwater resources in the region.

Keywords: pore structure parameters; index weighting method; water-bearing capacity index; coal mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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