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<p>The Bulan landslide, located in the Zagunao River Basin, Sichuan Province, China, is a typical slow-moving, high-locality landslide that poses ongoing risks to nearby infrastructure and communities. This study investigates its morphology, structural features, long-term deformation, and driving mechanisms through a combination of optical image interpretation, Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) monitoring, and detailed field investigations. Both optical and InSAR data reveal persistent surface displacement over multiple years, providing compelling evidence of progressive instability. The deformation pattern, supported by remote sensing and geological interpretation, indicates a retrogressive failure process. The landslide’s development is attributed to the combined effects of long-term gravitational unloading, seismic activity, and anthropogenic modifications such as land leveling and irrigation. These findings demonstrate the effectiveness of multi-source remote sensing in capturing the spatiotemporal evolution of landslides and underscore the need for integrated ground-based monitoring to enhance early warning and disaster mitigation efforts.</p>

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Preliminary analysis of a slow-moving high-locality landslide in the Zagunao River Basin, Sichuan Province, China

  • 期刊论文

  • 发表日期：

    2025年10月24日

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  • Shengsen Zhou,
  • Weile Li,
  • Huiyan Lu,
  • Zhou Xu,
  • Wenlong Yu,
  • Shanmiao Xu,
  • Pan Zhang,
  • Chunhao Wei,
  • Yusen Li,
  • Defu Wang,
  • Weiwei Zhan,
  • Qiang Xu

摘要

The Bulan landslide, located in the Zagunao River Basin, Sichuan Province, China, is a typical slow-moving, high-locality landslide that poses ongoing risks to nearby infrastructure and communities. This study investigates its morphology, structural features, long-term deformation, and driving mechanisms through a combination of optical image interpretation, Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) monitoring, and detailed field investigations. Both optical and InSAR data reveal persistent surface displacement over multiple years, providing compelling evidence of progressive instability. The deformation pattern, supported by remote sensing and geological interpretation, indicates a retrogressive failure process. The landslide’s development is attributed to the combined effects of long-term gravitational unloading, seismic activity, and anthropogenic modifications such as land leveling and irrigation. These findings demonstrate the effectiveness of multi-source remote sensing in capturing the spatiotemporal evolution of landslides and underscore the need for integrated ground-based monitoring to enhance early warning and disaster mitigation efforts.