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<p>As a "magnifier" of climate change, the Qinghai-Tibet Plateau (QTP) is particularly sensitive to warming, leading to the widespread distribution of Retrogressive thaw slump (RTS). However, the spatiotemporal dynamics of RTS development remain inadequately studied. In this research, remote sensing and geophysical techniques- such as RTK, UAV-based LiDAR, and Ground Penetrating Radar (GPR)- were employed to systematically monitor and analyze the dynamic development characteristics and topographic changes of a typical RTS in the Gu Hill area of the Beiluhe basin on the QTP during the 2023 and 2024. By processing multi-temporal high-resolution point cloud data, this study reveals the spatiotemporal coupling between the retreating erosion at the headwall and the deposition of slope mudflows of RTS. The findings show that the degree of RTS erosion in the summer of 2023 was significantly higher than in 2024, with the increased precipitation in 2024 leading to an expansion in the area of mudflow deposition. GPR profile analysis further indicates that the heterogeneity of the subsurface structures significantly regulates RTS development, and the rapid melting of shallow ground ice exacerbates RTS erosion. Meteorological data additionally suggest that, in the context of long-term climate warming, precipitation changes played a critical role in driving mudflow deposition during the RTS process. This study deepens the understanding of RTS’s development in the permafrost regions of the QTP, offering a reliable scientific basis for the formulation of disaster prevention strategies and ecological restoration measures.</p>

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Spatiotemporal dynamics of retrogressive thaw slumps on the Qinghai-Tibet Plateau: integrating UAV-LiDAR and GPR

  • 期刊论文

  • 发表日期：

    2025年5月30日

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  • Fan Yu,
  • Jing Luo,
  • Fujun Niu,
  • Zhanju Lin,
  • Bingyan Li,
  • Yanhu Mu,
  • Xin Ju,
  • Minghao Liu,
  • Guoan Yin,
  • Zeyong Gao,
  • Xiaolong Zhao,
  • Chengming Zhang

摘要

As a "magnifier" of climate change, the Qinghai-Tibet Plateau (QTP) is particularly sensitive to warming, leading to the widespread distribution of Retrogressive thaw slump (RTS). However, the spatiotemporal dynamics of RTS development remain inadequately studied. In this research, remote sensing and geophysical techniques- such as RTK, UAV-based LiDAR, and Ground Penetrating Radar (GPR)- were employed to systematically monitor and analyze the dynamic development characteristics and topographic changes of a typical RTS in the Gu Hill area of the Beiluhe basin on the QTP during the 2023 and 2024. By processing multi-temporal high-resolution point cloud data, this study reveals the spatiotemporal coupling between the retreating erosion at the headwall and the deposition of slope mudflows of RTS. The findings show that the degree of RTS erosion in the summer of 2023 was significantly higher than in 2024, with the increased precipitation in 2024 leading to an expansion in the area of mudflow deposition. GPR profile analysis further indicates that the heterogeneity of the subsurface structures significantly regulates RTS development, and the rapid melting of shallow ground ice exacerbates RTS erosion. Meteorological data additionally suggest that, in the context of long-term climate warming, precipitation changes played a critical role in driving mudflow deposition during the RTS process. This study deepens the understanding of RTS’s development in the permafrost regions of the QTP, offering a reliable scientific basis for the formulation of disaster prevention strategies and ecological restoration measures.