Analytical prediction of groundwater loss in deep coal mines induced by ground vibration
Abstract Deep coal mining induces geomechanical perturbations that threaten aquifer integrity. This study develops an analytical model coupling Fourier’s heat conduction and Cauchy’s momentum equations to predict groundwater depletion under dynamic stress from vibrations (0–6 MPa). Laboratory tests...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-05970-6 |
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| author | Pieride Mabe Fogang Bingjie Huo Hervé Losaladjome Mboyo Rong Hai Songtao Zhang Lesly Dasilva Wandji Djouonkep Dieudonné Bisso |
| author_facet | Pieride Mabe Fogang Bingjie Huo Hervé Losaladjome Mboyo Rong Hai Songtao Zhang Lesly Dasilva Wandji Djouonkep Dieudonné Bisso |
| author_sort | Pieride Mabe Fogang |
| collection | DOAJ |
| description | Abstract Deep coal mining induces geomechanical perturbations that threaten aquifer integrity. This study develops an analytical model coupling Fourier’s heat conduction and Cauchy’s momentum equations to predict groundwater depletion under dynamic stress from vibrations (0–6 MPa). Laboratory tests on Datong Mine samples (coal seam No. 12) yielded baseline parameters, including soil cohesion (C = 1.0 MPa) and Poisson ratio (ν = 0.35). The simulation uses an effective elastic modulus (E = 12.5 GPa) to represent the fractured coal-rock mass under vibrational loading. Results show vibration-induced fractures increase permeability by 15–25% initially, but subsequent compaction reduces it by 60%, with peak vertical displacements of 0.18 m. Vibrational loads exceeding a critical stress magnitude of 6 MPa exacerbate hydraulic conductivity variations, altering pore pressure distributions and threatening aquifer integrity. The model, validated via ABAQUS simulations, provides a scalable tool for mitigating water loss in mining environments. This research highlights the criticality of harmonizing geomechanical simulations with hydrogeological assessments to advance groundwater management strategies. The proposed analytical solution offers a scalable solution for mitigating environmental and operational risks across diverse mining geologies, ensuring resource sustainability and operational resilience against geohydrological instabilities. |
| format | Article |
| id | doaj-art-e4e9e21fafef47f8865824cc0af1e302 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e4e9e21fafef47f8865824cc0af1e3022025-08-20T03:42:28ZengNature PortfolioScientific Reports2045-23222025-07-0115112510.1038/s41598-025-05970-6Analytical prediction of groundwater loss in deep coal mines induced by ground vibrationPieride Mabe Fogang0Bingjie Huo1Hervé Losaladjome Mboyo2Rong Hai3Songtao Zhang4Lesly Dasilva Wandji Djouonkep5Dieudonné Bisso6School of Mining, Liaoning Technical UniversitySchool of Mining, Liaoning Technical UniversitySchool of Mining, Liaoning Technical UniversitySchool of Mining, Liaoning Technical UniversitySchool of New Energy and Mining, Xinjiang University of TechnologyInstitute of Fine Organic Chemicals and Organic Materials, School of Chemistry and Chemical Engineering, Wuhan University of Science and TechnologyDepartment of Earth Sciences, University of Yaoundé IAbstract Deep coal mining induces geomechanical perturbations that threaten aquifer integrity. This study develops an analytical model coupling Fourier’s heat conduction and Cauchy’s momentum equations to predict groundwater depletion under dynamic stress from vibrations (0–6 MPa). Laboratory tests on Datong Mine samples (coal seam No. 12) yielded baseline parameters, including soil cohesion (C = 1.0 MPa) and Poisson ratio (ν = 0.35). The simulation uses an effective elastic modulus (E = 12.5 GPa) to represent the fractured coal-rock mass under vibrational loading. Results show vibration-induced fractures increase permeability by 15–25% initially, but subsequent compaction reduces it by 60%, with peak vertical displacements of 0.18 m. Vibrational loads exceeding a critical stress magnitude of 6 MPa exacerbate hydraulic conductivity variations, altering pore pressure distributions and threatening aquifer integrity. The model, validated via ABAQUS simulations, provides a scalable tool for mitigating water loss in mining environments. This research highlights the criticality of harmonizing geomechanical simulations with hydrogeological assessments to advance groundwater management strategies. The proposed analytical solution offers a scalable solution for mitigating environmental and operational risks across diverse mining geologies, ensuring resource sustainability and operational resilience against geohydrological instabilities.https://doi.org/10.1038/s41598-025-05970-6Coal miningGroundwater dynamicsPredictive modelingAquifer permeability |
| spellingShingle | Pieride Mabe Fogang Bingjie Huo Hervé Losaladjome Mboyo Rong Hai Songtao Zhang Lesly Dasilva Wandji Djouonkep Dieudonné Bisso Analytical prediction of groundwater loss in deep coal mines induced by ground vibration Scientific Reports Coal mining Groundwater dynamics Predictive modeling Aquifer permeability |
| title | Analytical prediction of groundwater loss in deep coal mines induced by ground vibration |
| title_full | Analytical prediction of groundwater loss in deep coal mines induced by ground vibration |
| title_fullStr | Analytical prediction of groundwater loss in deep coal mines induced by ground vibration |
| title_full_unstemmed | Analytical prediction of groundwater loss in deep coal mines induced by ground vibration |
| title_short | Analytical prediction of groundwater loss in deep coal mines induced by ground vibration |
| title_sort | analytical prediction of groundwater loss in deep coal mines induced by ground vibration |
| topic | Coal mining Groundwater dynamics Predictive modeling Aquifer permeability |
| url | https://doi.org/10.1038/s41598-025-05970-6 |
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