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Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China 被引量:19
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作者 OUYANG Chao-jun ZHAO Wei +5 位作者 HE Si-ming WANG Dong-po ZHOU Shu AN Hui-cong WANG Zhong-wen cheng duo-xiang 《Journal of Mountain Science》 SCIE CSCD 2017年第9期1701-1711,共11页
A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province,China, on June 24, 2017. A 2.87×106 m3 rock mass collapsed and entrained the surface soil layer along the landslide path. Eig... A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province,China, on June 24, 2017. A 2.87×106 m3 rock mass collapsed and entrained the surface soil layer along the landslide path. Eighty-three people were killed or went missing and more than 103 houses were destroyed. In this paper, the geological conditions of the landslide are analyzed via field investigation and high-resolution imagery. The dynamic process and runout characteristics of the landslide are numerically analyzed using a depth-integrated continuum method and Mac Cormack-TVD finite difference algorithm.Computational results show that the evaluated area of the danger zone matchs well with the results of field investigation. It is worth noting that soil sprayed by the high-speed blast needs to be taken into account for such kind of large high-locality landslide. The maximum velocity is about 55 m/s, which is consistent with most cases. In addition, the potential danger zone of an unstable block is evaluated. The potential risk area evaluated by the efficient depthintegrated continuum method could play a significant role in disaster prevention and secondary hazard avoidance during rescue operations. 展开更多
关键词 滑坡 数值模拟 动力分析 茂县 中国 潜在危险区 有限差分算法 表层土壤
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