Dynamic analysis and field investigation of a fluidized landslide in Guanling, Guizhou, China

Abstract

On June 28, 2010, a large catastrophic landslide was triggered by a heavy rainfall in Guanling, Guizhou, China. This catastrophic event destroyed two villages and caused 99 casualities. The landslide involved the failure of about 985, 000 m 3 of sandstone from the source area. The displaced materials travelled about 1, 300 m with a descent of about 400 m, covering an area of 129, 000 m 2 with the final volume being accumulated to be 1, 840, 000 m 3 ,approximately. To provide information for hazard zonation of similar type of landslides in the same area, we used a dynamic model (DAN3D) to simulate the runout behavior of the displaced landslide materials, and found that a combined frictional-Vollemy model could provide the best performance in simulating this landslide and the runout is precisely duplicated with a dynamic friction angle () of 30° and a pore pressure ratio (r u) of 0.55 for the materials at the source area and with Vollemy parameters of friction coefficient f = 0.1 (dimensionless) and turbulent coefficient  =400 m/s 2. The simulated results indicated that the duration of the movement is estimated at about 60 s for a mean velocity 23 m/s. To examine the effectiveness of simulation by means of DAN3D and also to evaluate the reactivation potential of these displaced landslide materials depositing on the valley, we used Electrical Resistivity Tomography (ERT) method to survey the depth and internal structure of landslide deposits. The ERT results showed that DAN3D gave a good prediction on the shape and runout distance of the landslide deposits, although the predicted maximum depths of landslide deposit on some areas were differing from those obtained by ERT method.

Effects of model parameters, topography, and scale on the mass movement processes of debris avalanches using the discrete element method

“…This model was extended by Pudasaini and Hutter (2007) and demonstrated good agreement with laboratory measurements. In addition, some finite element modeling methods were developed for simulating the mass movement process, but the excessive distortion of the computational grids still need to be overcome (McDougall and Hungr 2005;Xing et al 2014). Some improved methods have been developed (Meier et al 2013), such as the Lagrangian finite element method (LFEM), which was used to simulate the dynamic process of mass movement (Tang et al 2009).…”

Human–Environment Natural Disasters Interconnection in China: A Review

“…The landslide slid with a first sliding direction of 165 • -170 • along with the bedrock layer. The soil conditions of the sliding body were investigated by analyzing and interpreting five exploratory boreholes (Figure 3) [49,50]. The slipped area from the boreholes is around 2-3 mm thick.…”

The Application of Long Short-Term Memory(LSTM) Method on Displacement Prediction of Multifactor-Induced Landslides

“…These natural disasters result in a huge economic losses and pose a great threaten to safety [1], [3], [5]- [9]. Particularly, in South-Western China, the geological features are often associated with high mountain area, where more steep slope, loess plateau occur [10]. Due to the intense rainfall in summer than other Chinese places, these places are prone to suffer from landslide.…”

“…This phenomenon has been commonly happened in South-western China for the high basis construction speed and complex geological. Chinese government has been paid a large number of funds to solve the landslides induced village migration, basis destroy and casualties [10], [14]- [19]. However, there are few literatures addressed the details of landslides in South-Western China.…”