期刊
EARTH SURFACE PROCESSES AND LANDFORMS
卷 42, 期 14, 页码 2295-2305出版社
WILEY
DOI: 10.1002/esp.4184
关键词
flowslide; loess; entrainment; numerical modeling; energy-based runout model
资金
- Natural Key Basic Research Development Plan of China - Ministry of Science and Technology of the People's Republic of China [2014CB744703]
- National Natural Science Foundation of China - National Natural Science Foundation of China [41402240]
- Natural Science and Engineering of Canada Discovery - Natural Sciences and Engineering Research Council of Canada
Flowslides are a frequent type of natural disaster in loess areas and may result in the significant loss of properties and/or casualties. The Dagou flowslide is a typical event in a loess area and is accompanied by significant sediment entrainment. To analyze the mechanisms responsible for flowslides and to obtain the parameters for a runout analysis, a field investigation was conducted. Specimens were sampled on site to carry out laboratory tests, including a triaxial test, sieve analysis, and chemical component analysis. The parameters were used in the runout study employing an energy-based runout model. An analytical entrainment model was adopted to calculate the entrainment after considering physical properties and the mechanism of the entrainment process of the loess. Finally, the entrainment model was incorporated into the runout model to simulate the post-failure process of this case. Energy dissipation due to the deformation of slices was considered as it was thought to be important for a slide with a significant deformation. The simulation results were compared with the measurements, including runout distance, total volume, erosion depth, deposition height at different sections, and velocities at specific locations. The results indicate that the energy-based runout model, together with the entrainment model, can capture the kinematic characteristics of the Dagou flowslide. Therefore, it is feasible to use this model to predict the runout characteristics of flowslides in similar areas. Copyright (c) 2017 John Wiley & Sons, Ltd.
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