SPH propagation back-analysis of Baishuihe landslide in south-western China
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  • 作者:Anika Braun ; Xueliang Wang ; Stefano Petrosino ; Sabatino Cuomo
  • 关键词:Modelling ; Propagation ; Entrainment ; Pore water pressure ; Deposition
  • 刊名:Geoenvironmental Disasters
  • 出版年:2017
  • 出版时间:December 2017
  • 年:2017
  • 卷:4
  • 期:1
  • 全文大小:2782KB
  • 刊物类别:Environment, general; Earth Sciences, general; Geography (general); Geoecology/Natural Processes; Na
  • 刊物主题:Environment, general; Earth Sciences, general; Geography, general; Geoecology/Natural Processes; Natural Hazards; Environmental Science and Engineering;
  • 出版者:Springer International Publishing
  • ISSN:2197-8670
  • 卷排序:4
文摘
BackgroundLandslides and landslide dams are a major natural hazard causing high socioeconomic risk in inhabited mountainous areas. This is also true for vast parts of south-western China, which are highly prone to slope failures due to several factors, such as a humid climate with high precipitation in the summer months, geological predisposing factors with highly weathered sedimentary rocks and a high seismicity. In order to assess possible run-out distances and the potential of landslides to block rivers, it is crucial to understand which factors influence landslide propagation and how they can be quantified. Since it is often difficult or impossible to measure related geotechnical parameters in the field, their back analysis with a numerical modelling approach can be useful. In this study a numerical modelling analysis was implemented for the case of a complex landslide in south-western China, which transformed into a debris flow and blocked the river and a major road after heavy rainfall. For this purpose a quasi-3D smoothed particle hydrodynamics (SPH) model that can account for geotechnical slope parameters, run-out distance, velocities, and deposition heights was used. Based on field observations regarding initial landslide volume and final deposition volume, height, and length, the mechanical properties of the landslide were estimated in a back-analysis.

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