Water-richness evaluation method and application of clastic rock aquifer in mining seam roof
Abstract Clastic rock aquifer of the coal seam roof often constitutes the direct water-filling aquifer of the coal seam and its water-richness is closely related to the risk of roof water inrush. Therefore, the evaluation of the water-richness of clastic rock aquifer is the basic work of coal seam r...
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Nature Portfolio
2024-03-01
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Online Access: | https://doi.org/10.1038/s41598-024-57033-x |
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author | Mei Qiu Zhendong Shao Weiqiang Zhang Yan Zheng Xinyu Yin Guichao Gai Zhaodi Han Jianfei Zhao |
author_facet | Mei Qiu Zhendong Shao Weiqiang Zhang Yan Zheng Xinyu Yin Guichao Gai Zhaodi Han Jianfei Zhao |
author_sort | Mei Qiu |
collection | DOAJ |
description | Abstract Clastic rock aquifer of the coal seam roof often constitutes the direct water-filling aquifer of the coal seam and its water-richness is closely related to the risk of roof water inrush. Therefore, the evaluation of the water-richness of clastic rock aquifer is the basic work of coal seam roof water disaster prevention. This article took the 4th coal seam in Huafeng mine field as an example. It combined the empirical formula method and generalized regression neural network (GRNN) to calculate the development height of water-conducting fracture zone, determined the vertical spatial range of water-richness evaluation. Depth of the sandstone floor, brittle rock ratio, lithological structure index, fault strength index, and fault intersections and endpoints density were selected as the main controlling factors. A combination weighting method based on the analytic hierarchy process (AHP), rough set theory (RS), and minimum deviation method (MD) was proposed to determine the weight of the main controlling factors. Introduced the theory of unascertained measures and confidence recognition criteria to construct an evaluation model for the water-richness of clastic rock aquifers, the study area was divided into three zones: relatively weak water-richness zones, medium water-richness zones, and relatively strong water-richness zones. By comparing with the water inrush points and the water inflow of workfaces, the evaluation model's water yield zoning was consistent with the actual situation, and the prediction effect was good. This provided a new idea for the evaluation of the water-richness of the clastic rock aquifer on the roof of the mining coal seam. |
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language | English |
last_indexed | 2024-04-24T19:58:40Z |
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spelling | doaj.art-e76dbada739a4147babda03f875ef8fd2024-03-24T12:15:23ZengNature PortfolioScientific Reports2045-23222024-03-0114112310.1038/s41598-024-57033-xWater-richness evaluation method and application of clastic rock aquifer in mining seam roofMei Qiu0Zhendong Shao1Weiqiang Zhang2Yan Zheng3Xinyu Yin4Guichao Gai5Zhaodi Han6Jianfei Zhao7College of Earth Sciences and Engineering, Shandong University of Science and TechnologyCollege of Earth Sciences and Engineering, Shandong University of Science and TechnologyShandong Shengyuan Geological Exploration Co., LtdCollege of Earth Sciences and Engineering, Shandong University of Science and TechnologyJinan Rail Transit Group CO., LTDCollege of Earth Sciences and Engineering, Shandong University of Science and TechnologyCollege of Earth Sciences and Engineering, Shandong University of Science and TechnologyCollege of Earth Sciences and Engineering, Shandong University of Science and TechnologyAbstract Clastic rock aquifer of the coal seam roof often constitutes the direct water-filling aquifer of the coal seam and its water-richness is closely related to the risk of roof water inrush. Therefore, the evaluation of the water-richness of clastic rock aquifer is the basic work of coal seam roof water disaster prevention. This article took the 4th coal seam in Huafeng mine field as an example. It combined the empirical formula method and generalized regression neural network (GRNN) to calculate the development height of water-conducting fracture zone, determined the vertical spatial range of water-richness evaluation. Depth of the sandstone floor, brittle rock ratio, lithological structure index, fault strength index, and fault intersections and endpoints density were selected as the main controlling factors. A combination weighting method based on the analytic hierarchy process (AHP), rough set theory (RS), and minimum deviation method (MD) was proposed to determine the weight of the main controlling factors. Introduced the theory of unascertained measures and confidence recognition criteria to construct an evaluation model for the water-richness of clastic rock aquifers, the study area was divided into three zones: relatively weak water-richness zones, medium water-richness zones, and relatively strong water-richness zones. By comparing with the water inrush points and the water inflow of workfaces, the evaluation model's water yield zoning was consistent with the actual situation, and the prediction effect was good. This provided a new idea for the evaluation of the water-richness of the clastic rock aquifer on the roof of the mining coal seam.https://doi.org/10.1038/s41598-024-57033-xWater-richnessClastic rockNeural networkCombination weighting methodUnascertained measures theory |
spellingShingle | Mei Qiu Zhendong Shao Weiqiang Zhang Yan Zheng Xinyu Yin Guichao Gai Zhaodi Han Jianfei Zhao Water-richness evaluation method and application of clastic rock aquifer in mining seam roof Scientific Reports Water-richness Clastic rock Neural network Combination weighting method Unascertained measures theory |
title | Water-richness evaluation method and application of clastic rock aquifer in mining seam roof |
title_full | Water-richness evaluation method and application of clastic rock aquifer in mining seam roof |
title_fullStr | Water-richness evaluation method and application of clastic rock aquifer in mining seam roof |
title_full_unstemmed | Water-richness evaluation method and application of clastic rock aquifer in mining seam roof |
title_short | Water-richness evaluation method and application of clastic rock aquifer in mining seam roof |
title_sort | water richness evaluation method and application of clastic rock aquifer in mining seam roof |
topic | Water-richness Clastic rock Neural network Combination weighting method Unascertained measures theory |
url | https://doi.org/10.1038/s41598-024-57033-x |
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