Critical acceleration is an inherent property of a slope and determines the slope stability under seismic action. The critical acceleration model is a core element of regional seismic landslide hazard assessment. Therefore, the purpose of this paper is to reveal the influence of different critical acceleration models on assessments of potential earthquake–induced landslide hazards. Traditionally, the Newmark critical acceleration model has commonly been used to evaluate the potential earthquake–induced landslide hazard. This method needs to assume the failure depth of the slope, which leads to an underestimation of the predicted displacement of the seismic landslide. Recently, the prediction equations of critical acceleration based on a parametric study of the limit equilibrium method overcomes the limitation of Newmark critical acceleration model and has been applied to assessments of co-seismic landslide hazards. In this study, we use Newmark critical acceleration model and prediction equations of critical acceleration to obtain the distribution maps of potential earthquake–induced landslide hazard in Shimian County, with peak ground acceleration of 10% and 2% exceeding the probability in 50 years. In addition, the nonlinear effect of site and topographic effects on peak ground acceleration were considered. The results show that Newmark critical acceleration model underestimates the area and value of the predicted displacement, while prediction equations of critical acceleration produces seismic landslides in a wider range of mountainous areas. This indicates that the critical acceleration model has a significant influence on assessments of potential earthquake–induced landslide hazards. In addition, the study not only provides valuable reference for assessment of potential earthquake–induced landslide hazard, emergency response of seismic landslides, and land planning in the study area, it also provides a useful demonstration for the selection of a critical acceleration model in seismic landslide hazard assessments for future researches.

中文翻译：

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临界加速度模型对四川省石棉县潜在地震滑坡灾害评估的影响

临界加速度是边坡的固有属性，决定了地震作用下边坡的稳定性。临界加速度模型是区域地震滑坡灾害评估的核心要素。因此，本文的目的是揭示不同临界加速度模型对潜在地震诱发滑坡灾害评估的影响。传统上，Newmark 临界加速度模型通常用于评估潜在的地震诱发的滑坡灾害。这种方法需要假设边坡的破坏深度，这会导致对地震滑坡预测位移的估计不足。最近，基于极限平衡法参数研究的临界加速度预测方程克服了Newmark临界加速度模型的局限性，已应用于同震滑坡灾害的评估。本研究利用Newmark临界加速度模型和临界加速度预测方程，得到石棉县潜在地震滑坡灾害分布图，地面加速度峰值为10%，超过50年概率为2%。此外，还考虑了场地和地形对峰值地面加速度的非线性影响。结果表明，Newmark 临界加速度模型低估了预测位移的面积和值，而临界加速度的预测方程在更广泛的山区产生地震滑坡。这表明临界加速度模型对潜在地震诱发的滑坡灾害的评估具有显着影响。此外，该研究不仅为研究区潜在的地震滑坡灾害评估、地震滑坡应急响应和土地规划提供了有价值的参考，也为地震中临界加速度模型的选择提供了有益的论证。滑坡灾害评估以供未来研究。