Coseismic landslides significantly contribute to human and economic losses during and immediately following earthquakes, yet very little data on the runout of such landslides exist. While well-established behavior of aseismic (e.g., hydrologically triggered) landslide runout mobility suggests strong correlation between landslide size and mobility, limited studies of coseismic landslide runout find conflicting mobility trends. We present a global dataset of runout lengths produced from a new automated method for estimating landslide runout, developed and validated using 1726 manually mapped landslides from five unique earthquakes. We then apply the automated runout tool to 23 global earthquake-induced landslide inventories, producing a compiled database of 73,665 measured and estimated runout lengths of coseismic landslides to assess mobility trends. We find a significant divergence between well-established aseismic mobility trends and that of coseismic landslides, with far greater scatter and more complex mobility patterns in earthquake-triggered landslides. As a function of landslide size, we observe global coseismic landslide mobility patterns are bilinear, becoming increasingly less mobile with increasing size above some threshold. This discordance between aseismic and coseismic landslide mobility may be a function of landslide type, kinematics, hydrology, and or setting that systematically differ between triggering mechanisms and should be explored in more depth to develop predictive models of these unique runout patterns. These results suggest hazard and risk models for coseismic landslides may significantly under-predict or over-predict impacts, depending on the size of triggered landslides.

中文翻译：

---

全球地震滑坡跳动移动模式与地震滑坡趋势不同


地震滑坡在地震期间和地震后立即对人员和经济损失造成了重大影响，但关于此类滑坡耗尽的数据很少。虽然地震（例如，水文触发）滑坡跳动移动的公认行为表明滑坡规模和移动性之间存在很强的相关性，但对同震滑坡跳动的有限研究发现了相互矛盾的移动趋势。我们提供了一个全球跳动长度数据集，该数据集由一种新的自动化方法生成，用于估计滑坡跳动，该数据集使用来自五次独特地震的 1726 个手动绘制的滑坡开发和验证。然后，我们将自动跳动工具应用于 23 个全球地震诱发的滑坡清单，生成一个包含 73,665 个测量和估计的同震滑坡跳动长度的编译数据库，以评估移动趋势。我们发现，公认的地震移动趋势与同震滑坡之间存在显着差异，地震引发的滑坡具有更大的分散性和更复杂的移动模式。作为滑坡规模的函数，我们观察到全球同震滑坡移动模式是双线性的，随着规模超过某个阈值，移动性越来越差。地震和同震滑坡移动性之间的这种不一致可能是滑坡类型、运动学、水文和/或环境的函数，它们在触发机制之间系统地存在差异，应该更深入地探索以开发这些独特跳动模式的预测模型。这些结果表明，地震滑坡的危害和风险模型可能会明显低估或高估影响，具体取决于触发滑坡的规模。