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Waterlogging Stability Identification: Ray-Based Model Application in Mining Areas with High Groundwater Levels—A Case Study of Huainan Coal Field

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  • Yueming Sun

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Yanling Zhao

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • He Ren

    (Academy of Eco-Civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin 300387, China)

  • Zhibin Li

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Yanjie Tang

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), D11 Xueyuan Road, Haidian District, Beijing 100083, China)

Abstract

Surface subsidence and water accumulation are common consequences of underground coal mining in areas with high groundwater levels, leading to waterlogged zones. Predicting the stability of these subsidence-induced water bodies is critical for effective land reclamation, yet current methods remain inadequate, particularly when mining data are limited. This study addresses this gap by introducing a new approach to evaluate the stability of subsidence waterlogging zones. We developed a novel method based on the ray model to assess waterlogging stability in coal mining areas. Rays were cast from origins at 1° intervals to measure changes in water accumulation boundaries over time, using metrics like the Expansion Ratio Index and stability duration. The proposed method was applied to the Huainan coal field, a typical mining area with high groundwater levels in China. We studied 41 subsidence water patches, selecting ray origins for each patch and constructing a total of 14,760 rays at 1° intervals. (2) Out of all effective rays, 4250 (32.6%) were identified as stable. (3) Stability analysis classified 32.6% as “stable”, 66.4% as “observation required”, and 1.6% as “expanding.” Specific reclamation suggestions include filling shallow stable areas and developing permanent projects in larger stable zones.

Suggested Citation

  • Yueming Sun & Yanling Zhao & He Ren & Zhibin Li & Yanjie Tang, 2024. "Waterlogging Stability Identification: Ray-Based Model Application in Mining Areas with High Groundwater Levels—A Case Study of Huainan Coal Field," Land, MDPI, vol. 13(12), pages 1-18, November.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:1975-:d:1525869
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    References listed on IDEAS

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    1. Zhanjie Feng & Zhenqi Hu & Xi Zhang & Yuhang Zhang & Ruihao Cui & Li Lu, 2023. "Integrated Mining and Reclamation Practices Enhance Sustainable Land Use: A Case Study in Huainan Coalfield, China," Land, MDPI, vol. 12(11), pages 1-15, October.
    2. Wen Song & Wei Song & Haihong Gu & Fuping Li, 2020. "Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas," IJERPH, MDPI, vol. 17(6), pages 1-17, March.
    3. Pengpeng Wang & Yaodong Jiang & Qingshan Ren, 2022. "Roof Hydraulic Fracturing for Preventing Floor Water Inrush under Multi Aquifers and Mining Disturbance: A Case Study," Energies, MDPI, vol. 15(3), pages 1-22, February.
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