Underlying Surface Influenced on the Landslide Runout

Xiao Yi Fan; Yao Xun Zeng; Xiao Dong Duan

doi:10.4028/www.scientific.net/AMR.671-674.161

Paper Titles

Study on the Methods of Layer Adjustment in Gas Dynamic Reserve Measurement
p.142

Test Research on the Long-Term Consolidation Mechanism of Ultra-Soft Clay
p.146

The Degradation of Saturated Clay’s Un-Drained Shearing Deformation Modulus under Cyclic Loading
p.151

The Relationship between High Fluorine Groundwater and Geological Environment in Gaomi
p.156

Underlying Surface Influenced on the Landslide Runout
p.161

A Neural Network Approach for Estimating Model Parameters of Rockfill Materials
p.167

A Study on the Effect of Initial Shear Stress on Dynamic Properties of Saturated Clay
p.171

Application of GA-BP to Back Analysis of Rock’s Parameters
p.175

Application Study on the Stability of Xiufengsi Landslide by Using Limit Equilibrium Method and Finite Element Method
p.180

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Underlying Surface Influenced on the Landslide...

Underlying Surface Influenced on the Landslide Runout

Abstract:

The landslide runouts not only were controlled by the volumes and vertical movement distances, but also the underlying surface played an important role. The concave, fold line, ladder and bedded types of the landslide underlying surfaces were studied. It aimed at analysis the underlying surfaces influenced on the runouts of the catastrophic landslides. There was significant correlation between the horizontal distances and the volumes, vertical distances in the seismic and rainfall landslides without river blocking. But the relationships showed different power laws in the seismic and rainfall landslides. The relative errors between actual and forecast values of seismic and rainfall landslides reflected that the underlying surface types influenced on the landslide horizontal movement distances. The results showed that the maximum horizontal distances of seismic and rainfall landslides could be predicted based on the landslides volumes, vertical distances and underlying surfaces.