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

Yueming Sun, Yanling Zhao (), He Ren, Zhibin Li and Yanjie Tang
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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

Land, 2024, vol. 13, issue 12, 1-18

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.

Keywords: high groundwater levels; subsidence waterlogging; ray method model; stability identification (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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