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<p>The columnar perilous rocks (CPR) along the Three Gorges Reservoir area are characterized by noncontactless, inaccessible, and large volume, potentially threaten the safety of the Yangtze River Golden Channel. To this end, based on point cloud data, a new algorithm for discontinuity plane identification and parameter extraction is proposed, which forms a new framework for stability analysis of CPR. This algorithm overcomes the disadvantage of large errors caused by fixed K values in KNN algorithm through adaptive K values, and utilizes coplanarity to detect plane identification performance. Based on the spatial relationship between discontinuity planes orientations and normal vectors, as well as the geometric relationship between the trace length and spacing in point cloud space, formulas for calculating the orientations, trace length, and spacing are obtained. The effectiveness of the algorithm was verified using point cloud data from Zengziyan CPR, with a point cloud pass rate of 99.6%. Five sets of discontinuity planes were identified, which were basically consistent with the actual surveyed discontinuity planes. The maximum errors in identifying trace length and spacing were 7&#xa0;cm and 8&#xa0;cm, respectively. Finally, this framework is applied to the Longmenzhai CPR in the Three Gorges Reservoir area. The results indicate that the maximum identification error of orientation is 3.9°. The maximum relative errors of trace length and spacing recognition are 1.53% and 1.51% respectively, and the error values are both in centimeter level. Through kinematic analysis and safety factor calculation, it is believed that there is a possibility of sliding failure and compression-shear failure in Longmenzhai CPR. The new framework for CPR investigation can accurately identify discontinuity planes, extract parameter information, and determine the stable state of CPR, which can provide reference for similar investigations.</p>

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Stability evaluation of columnar perilous rock in the Three Gorges Reservoir area based on UAV tilt photography

  • 期刊论文

  • 发表日期：

    2025年4月29日

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  • Linfeng Wang,
  • Ning Tang,
  • Hui Jiang,
  • Huafeng Deng,
  • Zhizhong Yang,
  • Bo Cai

摘要

The columnar perilous rocks (CPR) along the Three Gorges Reservoir area are characterized by noncontactless, inaccessible, and large volume, potentially threaten the safety of the Yangtze River Golden Channel. To this end, based on point cloud data, a new algorithm for discontinuity plane identification and parameter extraction is proposed, which forms a new framework for stability analysis of CPR. This algorithm overcomes the disadvantage of large errors caused by fixed K values in KNN algorithm through adaptive K values, and utilizes coplanarity to detect plane identification performance. Based on the spatial relationship between discontinuity planes orientations and normal vectors, as well as the geometric relationship between the trace length and spacing in point cloud space, formulas for calculating the orientations, trace length, and spacing are obtained. The effectiveness of the algorithm was verified using point cloud data from Zengziyan CPR, with a point cloud pass rate of 99.6%. Five sets of discontinuity planes were identified, which were basically consistent with the actual surveyed discontinuity planes. The maximum errors in identifying trace length and spacing were 7 cm and 8 cm, respectively. Finally, this framework is applied to the Longmenzhai CPR in the Three Gorges Reservoir area. The results indicate that the maximum identification error of orientation is 3.9°. The maximum relative errors of trace length and spacing recognition are 1.53% and 1.51% respectively, and the error values are both in centimeter level. Through kinematic analysis and safety factor calculation, it is believed that there is a possibility of sliding failure and compression-shear failure in Longmenzhai CPR. The new framework for CPR investigation can accurately identify discontinuity planes, extract parameter information, and determine the stable state of CPR, which can provide reference for similar investigations.