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Dynamic processes code#
MOHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China) (2012) Code (GB50003-2011) for design of masonry structures. Li SH, Zhao MH, Wang YN, Rao Y (2004) A new numerical method for DEM block and particle model. Li WC, Dai FC, Wei YQ, Wang ML, Min H, Lee LM (2016) Implication of subsurface flow on rainfall-induced landslide: a case study. Springer International Publishing, Cham, pp 269–288 specific topics in landslide science and applications. In: Arbanas Ž, Bobrowsky PT, Konagai K, Sassa K, Takara K (eds) Understanding and reducing landslide disaster risk, vol 6. Li T, Haider M, Shen W, Li P (2021b) Loess stratigraphy and loess landslides in the Chinese Loess Plateau. Li M, Ma C, Du C, Yang W, Lyu L, Wang X (2021a) Landslide response to vegetation by example of July 25–26, 2013, extreme rainstorm, Tianshui, Gansu Province, China. He J, Qiu H, Qu F, Hu S, Yang D, Shen Y, Zhang Y, Sun H, Cao M (2021) Prediction of spatiotemporal stability and rainfall threshold of shallow landslides using the TRIGRS and Scoops3D models. Guo C, Zhang Y, Li X, Ren S, Yang Z, Wu R, Jin J (2020) Reactivation of Giant Jiangdingya Ancient landslide in Zhouqu County, Gansu Province, China. Gao Y, Li B, Gao H, Chen L, Wang Y (2020) Dynamic characteristics of high-elevation and long-runout landslides in the emeishan basalt area: a case study of the Shuicheng “7.23” landslide in Guizhou. ĭang K, Sassa K, Konagai K, Karunawardena A, Bandara RMS, Hirota K, Tan Q, Ha ND (2019) Recent rainfall-induced rapid and long-traveling landslide on in Aranayaka, Kagelle District, Sri Lanka. This work contributes to improving the understanding of evolution law, dynamic processes, and risk prevention of this kind of landslide in loess plateau areas.Ĭhen G, Meng X, Qiao L, Zhang Y, Wang S (2018) Response of a loess landslide to rainfall: observations from a field artificial rainfall experiment in bailong river basin, china.
Simulation results of potential destructive zone of the unstable loess mass show that the travel distance of the unstable loess mass is approximately 250–295 m, the thickness of the deposited mass is approximately 2.7–3.3 m in the potential destructive zone, and the maximum velocity is 28 m/s. In addition, the presence of masonry buildings has a great influence on the sliding distance. The maximum travel distance of the sliding mass is 130 m. The runout simulation results show that the entire sliding process of Zhongzhai landslide lasted for approximately 35 s, with a maximum velocity of 12 m/s.
The upper sliding mass is the typical retrogressive failure, and the lower sliding mass shows thrust load caused failure. The Zhongzhai landslide is a typical rainfall–reactivated flow-type loess landslide, and its failure mode is creep-tensile type. On the basis of field investigation, unmanned aerial vehicle photography, and numerical simulation, the characteristics and dynamic processes of the Zhongzhai landslide are analyzed, and the potential destructive zone of the unstable loess mass is preliminarily assessed. The landslide with a volume of approximately 15,360 m 3 buried 2 houses and damaged another 2 houses. On October 5, 2021, a small-scale catastrophic loess landslide occurred in Niangniangba town, Tianshui City, Gansu Province in China.
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