The Jinpingzi rock slope is the closest giant landslide to the Wudongde Dam, whose safety has directly affected the dam’s site selection. A landslide detection algorithm based on transfer learning has been designed for the Jinpingzi slope in the Wudongde Reservoir area, which automates the processing of landslide data and performs a classification analysis on microseismic events. The researchers in this study coupled the obtained monitoring results of microseismic time series with other multi-physical field monitoring results, revealing that transfer learning enhances the robustness of the microseismic research model for slopes, while factors such as temperature field, rainfall, and earthquake intensity influence the monitoring results of velocity changes on the Jinpingzi slope.

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

Analysis of Landslide Evolution Based on the Coupling of Microseismic and Multi-physical Field Monitoring: Case Study of the Jinpingzi Slope

  • Bo Shao,
  • Xianglong Yao,
  • Chao Shang,
  • Xuejuan Tang

摘要

The Jinpingzi rock slope is the closest giant landslide to the Wudongde Dam, whose safety has directly affected the dam’s site selection. A landslide detection algorithm based on transfer learning has been designed for the Jinpingzi slope in the Wudongde Reservoir area, which automates the processing of landslide data and performs a classification analysis on microseismic events. The researchers in this study coupled the obtained monitoring results of microseismic time series with other multi-physical field monitoring results, revealing that transfer learning enhances the robustness of the microseismic research model for slopes, while factors such as temperature field, rainfall, and earthquake intensity influence the monitoring results of velocity changes on the Jinpingzi slope.