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<p>Aiming at the difficulty in predicting deformation and evolution of high and large slopes in open-pit mines, this study proposes a new approach. Based on periodic ground radar monitoring images, we applied OpenCV technology and introduced a novel indicator—Cumulative Difference Degree of Image Data-Time (<i>CDD</i>-<i>T</i>)—to construct a landslide evolution description method. Verified at the south slope deformation area of an open-pit coal mine (Xilingol League, China), the method identified dangerous areas via <i>n</i><sup><i>n</i></sup>×<i>n</i><sup><i>n</i></sup> refined segmentation and <i>CDD</i>-<i>T</i> curve analysis: slope toe (+ 984 to + 960) and southwest side (+ 1030 to + 984), with potential traction-type landslide mechanism confirmed by <i>CDD</i>-<i>T</i> heat maps. <i>CDD</i>-<i>T</i> curves were highly consistent with cumulative displacement-time curves (minimum Pearson coefficient: 0.9326; average: 0.9629). Notably, 89% of <i>CDD</i>-<i>T</i> curves provided earlier warnings, offering new insights for open-pit mine landslide research.</p>

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Research on the landslide evolution mechanism driven by ground radar images of slopes

  • 期刊论文

  • 发表日期：

    2025年12月17日

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  • Li Yin,
  • Dong Wang,
  • Yiming Wu,
  • Xiaoyu Xing,
  • Shougong Wang

摘要

Aiming at the difficulty in predicting deformation and evolution of high and large slopes in open-pit mines, this study proposes a new approach. Based on periodic ground radar monitoring images, we applied OpenCV technology and introduced a novel indicator—Cumulative Difference Degree of Image Data-Time (CDD-T)—to construct a landslide evolution description method. Verified at the south slope deformation area of an open-pit coal mine (Xilingol League, China), the method identified dangerous areas via nn×nn refined segmentation and CDD-T curve analysis: slope toe (+ 984 to + 960) and southwest side (+ 1030 to + 984), with potential traction-type landslide mechanism confirmed by CDD-T heat maps. CDD-T curves were highly consistent with cumulative displacement-time curves (minimum Pearson coefficient: 0.9326; average: 0.9629). Notably, 89% of CDD-T curves provided earlier warnings, offering new insights for open-pit mine landslide research.