High-elevation and long-runout landslides are among the most destructive mountain hazards.In this study,we present the first identification of a high-elevation and long-runout landslide,referred to as the Guba landsli...High-elevation and long-runout landslides are among the most destructive mountain hazards.In this study,we present the first identification of a high-elevation and long-runout landslide,referred to as the Guba landslide,located near the Jinsha River Bridge,using interferometric synthetic aperture radar(InSAR)technology.This landslide poses a significant threat to the construction and future safe operation of both the Jinsha River Bridge and the Yebatan hydropower station.Therefore,deformation monitoring and risk assessment based on comprehensive remote sensing and numerical simulation are urgently required.We processed SAR imagery acquired from four satellite platforms between July 2007 and September 2023 to derive surface displacements of the Guba landslide.A topography-constrained model integrating multi-track SAR observations was employed to retrieve the three-dimensional deformation field and determine the optimal sliding direction for each pixel,enabling estimation of the potential slip surface.Furthermore,a Tikhonov regularization method was applied to reconstruct a nearly 16-year displacement time series along the sliding direction.To assess potential hazards,numerical simulations were conducted to estimate the extent and impact of possible landslide failures.Results show that the Guba landslide is a large-scale rockslide with an area of approximately 0.17 km^(2),a maximum slip surface depth of 94 m,and an estimated volume of 0.84×10^(7)m^(3).The cumulative displacement of the landslide between 2007 and 2023 reached 1.37 m,and it is currently in an initial accelerated subphase.Numerical simulation results suggest that once failed,the landslide mass could move rapidly along the valley,forming a debris dam approximately 40–50 m high and 200 m wide across the Jinsha River,which poses a severe risk to both the bridge and the hydropower station.In addition,local seasonal deformation oscillations were observed,potentially driven by the coupled effects of precipitation and near-surface temperature.Further wavelet analysis revealed a time lag of approximately 39 days between deformation,rainfall,and near-surface temperature.These findings offer critical insights into the mitigation and management of the Guba landslide,supporting the safe implementation of major infrastructure projects.Moreover,the approach provides a novel framework for investigating high-elevation and long-runout landslides in inaccessible mountainous regions.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.41941019)the Shaanxi Province Science and Technology Innovation Team(Grant No.2021TD-51)+2 种基金the Shaanxi Province Geoscience Big Data and Geohazard Prevention Innovation Team(Grant No.2022)ESA-MOST China DRAGON-6 project(Grant No.95355)the Fundamental Research Funds for the Central Universities,CHD(Grant Nos.300102260301 and 300102261108)。
文摘High-elevation and long-runout landslides are among the most destructive mountain hazards.In this study,we present the first identification of a high-elevation and long-runout landslide,referred to as the Guba landslide,located near the Jinsha River Bridge,using interferometric synthetic aperture radar(InSAR)technology.This landslide poses a significant threat to the construction and future safe operation of both the Jinsha River Bridge and the Yebatan hydropower station.Therefore,deformation monitoring and risk assessment based on comprehensive remote sensing and numerical simulation are urgently required.We processed SAR imagery acquired from four satellite platforms between July 2007 and September 2023 to derive surface displacements of the Guba landslide.A topography-constrained model integrating multi-track SAR observations was employed to retrieve the three-dimensional deformation field and determine the optimal sliding direction for each pixel,enabling estimation of the potential slip surface.Furthermore,a Tikhonov regularization method was applied to reconstruct a nearly 16-year displacement time series along the sliding direction.To assess potential hazards,numerical simulations were conducted to estimate the extent and impact of possible landslide failures.Results show that the Guba landslide is a large-scale rockslide with an area of approximately 0.17 km^(2),a maximum slip surface depth of 94 m,and an estimated volume of 0.84×10^(7)m^(3).The cumulative displacement of the landslide between 2007 and 2023 reached 1.37 m,and it is currently in an initial accelerated subphase.Numerical simulation results suggest that once failed,the landslide mass could move rapidly along the valley,forming a debris dam approximately 40–50 m high and 200 m wide across the Jinsha River,which poses a severe risk to both the bridge and the hydropower station.In addition,local seasonal deformation oscillations were observed,potentially driven by the coupled effects of precipitation and near-surface temperature.Further wavelet analysis revealed a time lag of approximately 39 days between deformation,rainfall,and near-surface temperature.These findings offer critical insights into the mitigation and management of the Guba landslide,supporting the safe implementation of major infrastructure projects.Moreover,the approach provides a novel framework for investigating high-elevation and long-runout landslides in inaccessible mountainous regions.
