LAPSE:2023.20151v1
Published Article
LAPSE:2023.20151v1
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, Weifu Gao
March 10, 2023
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
coal mining, index weighting method, pore structure parameters, water-bearing capacity index
Subject
Suggested Citation
Shi L, Liu T, Zhang X, Xu D, Gao W. Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers. (2023). LAPSE:2023.20151v1
Author Affiliations
Shi L: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Liu T: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China [ORCID]
Zhang X: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Xu D: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Gao W: College of Natural Resources, Shandong University of Science and Technology, Tai’an 271019, China
Journal Name
Energies
Volume
14
Issue
16
First Page
4865
Year
2021
Publication Date
2021-08-09
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14164865, Publication Type: Journal Article
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LAPSE:2023.20151v1
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https://doi.org/10.3390/en14164865
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