Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers
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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-08-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/16/4865 |
| _version_ | 1797524062885380096 |
|---|---|
| author | Longqing Shi Tianhao Liu Xiaoyang Zhang Dongjing Xu Weifu Gao |
| author_facet | Longqing Shi Tianhao Liu Xiaoyang Zhang Dongjing Xu Weifu Gao |
| author_sort | Longqing Shi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:52:00Z |
| format | Article |
| id | doaj.art-c328aa8f83b74e4db532d046b380a579 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:52:00Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c328aa8f83b74e4db532d046b380a5792023-11-22T07:28:32ZengMDPI AGEnergies1996-10732021-08-011416486510.3390/en14164865Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of AquifersLongqing Shi0Tianhao Liu1Xiaoyang Zhang2Dongjing Xu3Weifu Gao4College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Natural Resources, Shandong University of Science and Technology, Tai’an 271019, ChinaAccurate 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.https://www.mdpi.com/1996-1073/14/16/4865pore structure parametersindex weighting methodwater-bearing capacity indexcoal mining |
| spellingShingle | Longqing Shi Tianhao Liu Xiaoyang Zhang Dongjing Xu Weifu Gao Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers Energies pore structure parameters index weighting method water-bearing capacity index coal mining |
| title | Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers |
| title_full | Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers |
| title_fullStr | Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers |
| title_full_unstemmed | Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers |
| title_short | Prediction of the Water-Bearing Capacity of Coal Strata by Using the Macro and Micro Pore Structure Parameters of Aquifers |
| title_sort | prediction of the water bearing capacity of coal strata by using the macro and micro pore structure parameters of aquifers |
| topic | pore structure parameters index weighting method water-bearing capacity index coal mining |
| url | https://www.mdpi.com/1996-1073/14/16/4865 |
| work_keys_str_mv | AT longqingshi predictionofthewaterbearingcapacityofcoalstratabyusingthemacroandmicroporestructureparametersofaquifers AT tianhaoliu predictionofthewaterbearingcapacityofcoalstratabyusingthemacroandmicroporestructureparametersofaquifers AT xiaoyangzhang predictionofthewaterbearingcapacityofcoalstratabyusingthemacroandmicroporestructureparametersofaquifers AT dongjingxu predictionofthewaterbearingcapacityofcoalstratabyusingthemacroandmicroporestructureparametersofaquifers AT weifugao predictionofthewaterbearingcapacityofcoalstratabyusingthemacroandmicroporestructureparametersofaquifers |