Analysis of Surface Runoff and Ponding Infiltration Patterns Induced by Underground Block Caving Mining—A Case Study
Surface subsidence induced by underground mining in mining areas significantly alters surface topography and hydrogeological conditions, forming depressions and fissures, thereby affecting regional runoff-ponding processes and groundwater infiltration patterns. Accurate assessment of infiltration volumes in subsidence zones under heavy rainfall is crucial for designing underground drainage systems and evaluating water-inrush risks in open-pit to underground transition mines. Taking the surface subsidence area of the Dahongshan Iron Mine as a case study, this paper proposes a rainfall infiltration calculation method based on the precise delineation of surface ponding-infiltration zones. By numerically simulating the subsidence range, the study divides the area into two distinct infiltration characteristic zones under different mining states: the caved zone and the water-conducting fracture zone. The rainfall infiltration volume under storm conditions was calculated separately for each zone. The results indicate that high-intensity mining-induced subsidence leads to a nonlinear surge in stormwater infiltration, primarily due to the significant expansion of the highly permeable caved zone. The core mechanism lies in the area expansion of the caved zone as a rapid infiltration channel, which dominates the overall infiltration capacity multiplication. These findings provide a scientific basis for the design of mine drainage systems and the prevention of water-inrush disasters.
Authors
- Qingshan Ma (ORCID: https://orcid.org/0000-0002-7178-1081)
- Yong Qing Zhao (ORCID: https://orcid.org/0009-0000-7898-9080)
- Shihui Jiao
- Xin Wen (ORCID: https://orcid.org/0000-0002-8722-5602)
- Honglei Liu (ORCID: https://orcid.org/0000-0003-0031-4213)
- Tianhong Yang (ORCID: https://orcid.org/0000-0003-0812-6161)
- Qianbai Zhao
Institutions
- Northeastern University (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3390/app15179516
- Citations
- 1
- Primary Topic
- Landslides and related hazards
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Natural Science Foundation of China