Serey Alejandra, Sepúlveda Sergio A
Department of Geology, Universidad de Chile. Plaza Ercilla 803, Santiago, Chile.
Institute of Engineering Sciences, Universidad de O'Higgins. Libertador Bernardo O'Higgins 611, Rancagua, Chile.
Data Brief. 2024 Oct 28;57:111078. doi: 10.1016/j.dib.2024.111078. eCollection 2024 Dec.
Chile is one of the most seismically active countries on Earth and is often associated with cascading hazards, such as ground shaking, liquefaction, tsunamis, and coseismic landslides. Additionally, removal mass is a global hazard with devastating impacts resulting in thousands of fatalities every year, substantial economic losses, and long-term economic disruption. The dataset described in this article consists of a comprehensive landslide inventory for the 2010 Mw 8.8 Maule earthquake between 32.5° S and 38.5° S°. There are 1226 landslides over a mapped c.120,500 km (1059 disrupted slides, 110 flows, 49 lateral spreads and eight coherent slides). The dataset was collected from bibliographic compilation, mapping by interpretation of Landsat satellite images, and field inspections. This data can be used as input in earthquake-induced landslide susceptibility models to help predict coseismic landslide occurrences after megathrust earthquakes and inform land use planning processes incorporating cascading hazard management and prevention.
智利是地球上地震活动最频繁的国家之一，经常与一系列灾害相关联，如地面震动、液化、海啸和同震滑坡。此外，山体滑坡是一种全球性灾害，具有毁灭性影响，每年导致数千人死亡、造成巨大经济损失并导致长期经济混乱。本文所述数据集包含2010年发生在南纬32.5°至38.5°之间的里氏8.8级马乌莱地震的全面滑坡清单。在约120500平方千米的测绘区域内有1226处滑坡（1059处破碎型滑坡、110处流动型滑坡、49处侧向扩展型滑坡和8处连贯型滑坡）。该数据集是通过文献编纂、对陆地卫星图像进行解释测绘以及实地勘察收集而来的。这些数据可作为地震诱发滑坡易发性模型的输入，以帮助预测大型逆冲型地震后的同震滑坡发生情况，并为纳入一系列灾害管理与预防措施的土地利用规划过程提供信息。
