Scholarlink

<p>Mining-induced ground subsidence poses a serious threat to mine safety and the ecological environment. Monitoring subsidence and studying its patterns are essential for controlling it and mitigating risks. This study focuses on a specific mining area with gently dipping ore body characteristics and unique tectonic features, including Quaternary loose aquifer fracture zones. By combining time-series SBAS-InSAR technology with FLAC3D numerical simulation, we established a multi-source data fusion analysis framework. This framework helps to decipher the patterns and dynamic evolution mechanisms of ground subsidence caused by underground mining. Results show that as mining operations advance, the scale and extent of surface subsidence continue to grow. Subsidence is spatially non-uniform; it is greater in the central area than in the periphery. SBAS-InSAR monitoring recorded a maximum cumulative subsidence of 973&#xa0;mm. Simulations that considered the overlying Quaternary loose aquifer fracture layer showed subsidence reaching 1010&#xa0;mm at the same mining progress. This enables precise inversion of the mining subsidence process. The consistency between these results highlights the influence of the Quaternary loose aquifer fracture layer on surface subsidence. The multi-source data fusion framework accurately reflects the deformation patterns and evolution process of surface subsidence due to mining disturbances. It provides theoretical support for safe mining operations and disaster prevention.</p> Graphical Abstract <p></p> <p>This graphic abstract presents our integrated approach and key findings from a study of mining-induced subsidence using multi-source data fusion. The core visual narrative demonstrates how satellite monitoring and numerical simulation together reveal subsidence patterns and their mechanisms. The left panel illustrates the two primary methods: SBAS-InSAR captures spatiotemporal deformation with radar satellites, while FLAC3D simulates subsurface mechanical processes. The integration of these two approaches forms a multi-source data fusion framework. The subsidence center comparison shows similar deformation curves from both methods, with a correlation coefficient R² of 0.9131. Our key finding is the amplification effect of Quaternary unconsolidated aquifers. This study establishes a reliable framework to assess mining subsidence, supporting disaster prevention and sustainable mining.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analyzing Patterns and Mechanisms of Mining-induced Ground Deformation Using InSAR and Numerical Simulation

  • 期刊论文

  • 发表日期：

    2026年2月17日

查看全文
  • Feng Gao,
  • Chenxing Zhang,
  • Gaofei Zhang,
  • Xin Xiong

摘要

Mining-induced ground subsidence poses a serious threat to mine safety and the ecological environment. Monitoring subsidence and studying its patterns are essential for controlling it and mitigating risks. This study focuses on a specific mining area with gently dipping ore body characteristics and unique tectonic features, including Quaternary loose aquifer fracture zones. By combining time-series SBAS-InSAR technology with FLAC3D numerical simulation, we established a multi-source data fusion analysis framework. This framework helps to decipher the patterns and dynamic evolution mechanisms of ground subsidence caused by underground mining. Results show that as mining operations advance, the scale and extent of surface subsidence continue to grow. Subsidence is spatially non-uniform; it is greater in the central area than in the periphery. SBAS-InSAR monitoring recorded a maximum cumulative subsidence of 973 mm. Simulations that considered the overlying Quaternary loose aquifer fracture layer showed subsidence reaching 1010 mm at the same mining progress. This enables precise inversion of the mining subsidence process. The consistency between these results highlights the influence of the Quaternary loose aquifer fracture layer on surface subsidence. The multi-source data fusion framework accurately reflects the deformation patterns and evolution process of surface subsidence due to mining disturbances. It provides theoretical support for safe mining operations and disaster prevention.

Graphical Abstract

This graphic abstract presents our integrated approach and key findings from a study of mining-induced subsidence using multi-source data fusion. The core visual narrative demonstrates how satellite monitoring and numerical simulation together reveal subsidence patterns and their mechanisms. The left panel illustrates the two primary methods: SBAS-InSAR captures spatiotemporal deformation with radar satellites, while FLAC3D simulates subsurface mechanical processes. The integration of these two approaches forms a multi-source data fusion framework. The subsidence center comparison shows similar deformation curves from both methods, with a correlation coefficient R² of 0.9131. Our key finding is the amplification effect of Quaternary unconsolidated aquifers. This study establishes a reliable framework to assess mining subsidence, supporting disaster prevention and sustainable mining.