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基于 SBAS-InSAR 技术的黄河上游库坝群段滑坡识别及监测分析

  • Quanlin Li
  • , Xiuzhen Li*
  • , Junhao Gong
  • , Chencheng Zhao
  • *此作品的通讯作者
  • University of Chinese Academy of Sciences
  • Chinese Academy of Sciences

科研成果: 期刊稿件文章同行评审

摘要

The geological conditions in the reservoir dam group section of the upper reaches of the Yellow River are complex,with the development of many large landslides. Focusing on the Longyangxia-Yangogorge section in the upper reaches of the Yellow River and based on the investigation of geological conditions and historical landslides in the area and remote sensing interpretation,more than 80 scenes of SENTINEL-1A data from 2018 to 2021 are selected. Using the SBAS-InSAR technique,the deformation rates in the radar line of sight are obtained and converted to deformation rates along the slope direction. Based on this,57 large landslides with slow deformation are identified,and deformation con⁃ centration areas are obtained based on kernel density analysis of deformation rates. The ROC curve indicates a good consis⁃ tency between the concentration areas and historical landslide distributions,with dense historical landslide distributions in deformation concentration areas. On this basis,the Baicitan landslide in the Longyangxia reservoir area is selected as a typical landslide. Typical profiles and deformation points are chosen to analyze the relationship between time-series defor⁃ mation and rainfall and reservoir water level changes. The results show that the Baicitan landslide is affected by rainfall and reservoir water level changes,with a strong correlation between the deformation sequence at the front edge and changes in rainfall and reservoir water level.

投稿的翻译标题Identification and Monitoring Analysis of Landslides in the Upper Yellow River Reservoir Area Based on SBAS-InSAR Technology
源语言繁体中文
页(从-至)199-206
页数8
期刊Journal of Catastrophology
40
1
DOI
出版状态已出版 - 1月 2025
已对外发布

关键词

  • kernel den⁃ sity analysis
  • landslide identification and monitoring
  • SBAS-InSAR technology
  • time-series analysis
  • upper Yellow River Reservoir-Dam cluster segment

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