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<p>Slope units (SUs) provide a strong spatial framework for predicting coseismic landslide hazards (CLHP) on a regional scale by segmenting complex terrain into geomorphically coherent domains. However, traditional hydrological delineation methods often struggle to accurately capture the complexities of terrain morphology, resulting in slope units with irregular boundaries. This study introduces an integrated CLHP framework that combines a novel Point Segmentation (PSG) slope-unit method, Newmark’s displacement model, the Frequency Ratio Method (FRM), and pulse-like ground motions (PLGMs). The PSG method employs watershed analysis, elevation point clustering, and the Voronoi method in ArcGIS to create geotechnically consistent slope units. Receiver Operating Characteristic (ROC) analysis indicates that PSG achieves an AUC approximately 8% higher than the traditional hydrological method, demonstrating its superior predictive performance. An inventory of coseismic landslide catalogs was utilized in this study to calibrate displacements obtained using Newmark’s Method, identifying zones where displacements exceed 10&#xa0;cm as probable points of failure. By combining FRM with Newmark’s analysis, a reliable hazard map was produced with an AUC of 0.748, indicating strong agreement between the statistical and physical models. A representative slope within 10&#xa0;km of a fault rupture was numerically analyzed using Fast Lagrangian Analysis of Continua in 3 Dimensions (FLAC3D) under both PLGMs and non-pulse motions. The results showed that PLGMs caused displacements about 6–10% higher compared to non-pulse motions. These findings highlight that terrain morphology, lithology, and seismic pulse effects significantly influence CLHP in tectonically complex regions.</p>

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Slope unit-based susceptibility analysis in near-fault Zones: Integrating Newmark displacement, frequency ratio, and pulse-like seismic features

  • 期刊论文

  • 发表日期：

    2026年4月21日

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  • Peter Antwi Buah,
  • Yingbin Zhang,
  • Haiying Fu,
  • Qingdong Wang

摘要

Slope units (SUs) provide a strong spatial framework for predicting coseismic landslide hazards (CLHP) on a regional scale by segmenting complex terrain into geomorphically coherent domains. However, traditional hydrological delineation methods often struggle to accurately capture the complexities of terrain morphology, resulting in slope units with irregular boundaries. This study introduces an integrated CLHP framework that combines a novel Point Segmentation (PSG) slope-unit method, Newmark’s displacement model, the Frequency Ratio Method (FRM), and pulse-like ground motions (PLGMs). The PSG method employs watershed analysis, elevation point clustering, and the Voronoi method in ArcGIS to create geotechnically consistent slope units. Receiver Operating Characteristic (ROC) analysis indicates that PSG achieves an AUC approximately 8% higher than the traditional hydrological method, demonstrating its superior predictive performance. An inventory of coseismic landslide catalogs was utilized in this study to calibrate displacements obtained using Newmark’s Method, identifying zones where displacements exceed 10 cm as probable points of failure. By combining FRM with Newmark’s analysis, a reliable hazard map was produced with an AUC of 0.748, indicating strong agreement between the statistical and physical models. A representative slope within 10 km of a fault rupture was numerically analyzed using Fast Lagrangian Analysis of Continua in 3 Dimensions (FLAC3D) under both PLGMs and non-pulse motions. The results showed that PLGMs caused displacements about 6–10% higher compared to non-pulse motions. These findings highlight that terrain morphology, lithology, and seismic pulse effects significantly influence CLHP in tectonically complex regions.