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Rapidly Evolving Controls of Landslides After a Strong Earthquake and Implications for Hazard Assessments
Geophysical Research Letters ( IF 4.6 ) Pub Date : 2020-12-06 , DOI: 10.1029/2020gl090509
Xuanmei Fan 1 , Ali P. Yunus 1 , Gianvito Scaringi 2 , Filippo Catani 3 , Srikrishnan Siva Subramanian 1 , Qiang Xu 1 , Runqui Huang 1
Affiliation  

Strong earthquakes, especially on mountain slopes, can generate large amounts of unconsolidated deposits, prone to remobilization by aftershocks and rainstorms. Assessing the hazard they pose and what drives their movement in the years following the mainshock has not yet been attempted, primarily because multitemporal landslide inventories are lacking. By exploiting a multitemporal inventory (2005–2018) covering the epicentral region of the 2008 Wenchuan Earthquake and a set of conditioning factors (seismic, topographic, and hydrological), we perform statistical tests to understand the temporal evolution of these factors affecting debris remobilizations. Our analyses, supported by a random‐forest susceptibility assessment model, reveal a prediction capability of seismic‐related variables declining with time, as opposed to hydro‐topographic parameters gaining importance and becoming predominant within a decade. These results may have important implications on the way conventional susceptibility/hazard assessment models should be employed in areas where coseismic landslides are the main sediment production mechanism on slopes.

中文翻译:

强烈地震后滑坡的快速发展控制及其危害评估的意义

强烈的地震,特别是在山坡上,会产生大量未固结的沉积物,容易因余震和暴雨而动员。在主震发生后的几年中,尚未对它们造成的危害以及驱动其运动的因素进行评估,这主要是因为缺乏多时相滑坡清单。通过利用涵盖2008年汶川地震震中地区和一系列条件因素(地震,地形和水文)的多时相清单(2005-2018年),我们进行了统计检验,以了解这些影响碎片迁移的因素的时间演变。在随机森林敏感性评估模型的支持下,我们的分析揭示了与地震有关的变量随时间下降的预测能力,与水文地形参数相反,它在十年内变得越来越重要并占主导地位。这些结果可能对在同震滑坡是斜坡上主要沉积物产生机制的地区采用常规敏感性/危害评估模型的方式具有重要意义。
更新日期:2021-01-14
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