Numerical analysis of dynamic characteristics of sludge-type slag landfill landslide

Abstract

The Artificial landfill landslide in Guangming District, Shenzhen, which occurred on December 20, 2015, showed the same characteristics as mudflow after sliding, which had long sliding movement distance and large coverage area, and caused serious casualties and property losses. Therefore, research on the dynamic characteristics of artificial accumulation landslide is of great significance for landfill slope hazard assessment and prevention in urban construction. On the basis of detailed collection of landslide investigation data and field investigation, the motion of the landslide was simulated with the friction rheological model by the software DAN-W in this paper, in order to obtain the characteristic parameters of landslide movement. The results showed that, the maximum movement distance was 1,112 meters and a running time of 105s simulated by friction model. The maximum front velocity was 22.5m/s and occurred at a horizontal distance of 632 meters. The horizontal length of the accumulation mass was 580 meters and the average thickness was about 8.2m. The numerical simulation results are basically consistent with the field survey results. The simulation model and the motion characteristic parameters of the muck can be used as reference for the prevention and control design of slope of similar muck field.

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

“…In addition, we included TPI as one of the PFs, because [52,55] had found that using TPI instead of the slope aspect increased the accuracy of lithological classification for landslide susceptibility prediction. Several studies have been done to simulate and evaluate the disaster of landfills sliding, such as [126][127][128]. As the study area is a mountainous, it should be noted that TPI has been applied for the first time for LFS selection.…”

“…Several studies have been done to simulate and evaluate the disaster of landfills sliding, such as [126][127][128]. As the study area is a mountainous, it should be noted that TPI has been applied for the first time for LFS selection.…”