ISSN 1003-8035 CN 11-2852/P
    张磊,周银朋,庄宇,等. 贵州水城尖山营滑坡动力学特性分析与隐患点致灾范围预测[J]. 中国地质灾害与防治学报,2023,34(3): 1-7. DOI: 10.16031/j.cnki.issn.1003-8035.202204006
    引用本文: 张磊,周银朋,庄宇,等. 贵州水城尖山营滑坡动力学特性分析与隐患点致灾范围预测[J]. 中国地质灾害与防治学报,2023,34(3): 1-7. DOI: 10.16031/j.cnki.issn.1003-8035.202204006
    ZHANG Lei,ZHOU Yinpeng,ZHUANG Yu,et al. Dynamic analysis and prediction of rear slope affected area of the Jianshanying landslide in Shuicheng County, Guizhou Province[J]. The Chinese Journal of Geological Hazard and Control,2023,34(3): 1-7. DOI: 10.16031/j.cnki.issn.1003-8035.202204006
    Citation: ZHANG Lei,ZHOU Yinpeng,ZHUANG Yu,et al. Dynamic analysis and prediction of rear slope affected area of the Jianshanying landslide in Shuicheng County, Guizhou Province[J]. The Chinese Journal of Geological Hazard and Control,2023,34(3): 1-7. DOI: 10.16031/j.cnki.issn.1003-8035.202204006

    贵州水城尖山营滑坡动力学特性分析与隐患点致灾范围预测

    Dynamic analysis and prediction of rear slope affected area of the Jianshanying landslide in Shuicheng County, Guizhou Province

    • 摘要: 2020年9月16日,受地下采动和降雨影响,贵州水城县发耳镇尖山营不稳定斜坡发生山体滑坡,约80×104 m3的岩土体倾泻而下,在运动过程中破碎解体形成碎屑流。滑坡最大运动距离达到1 km,最大高差约300 m。文章基于高精度无人机航测影像建立滑坡区三维数值模型,利用DAN3D动力分析软件对尖山营滑坡-碎屑流运动全过程开展数值模拟,分析了滑体动力学特征和堆积分布。在此基础上,利用反演确定的数值流变模型和参数,对尖山营不稳定斜坡潜在滑坡区开展致灾范围预测。研究成果为高位远程滑坡致灾范围预测和尖山营地区危险性评估提供了依据。

       

      Abstract: On September 16, 2020, the combination of mining activities and constant rainfall triggered a long runout landslide in Jianshanying area, Guizhou Province, China, causing a landslide of approximately 80×104 m3 of rock and soil to slide down and form a debris flow. The maximum movement distance of the landslide reached 1 km, with a maximum height difference of about 300 m. Many houses and two roads were destroyed, fortunately without causing casualties. In this study, detailed field investigation combined with the UAV aerial photography were conducted to obtain the geological setting and the digital elevation model of the landslide region. Subsequently, the dynamic model DAN3D was utilized to study the dynamic characteristics and deposit distribution of the Jianshanying landslide. Simulated results were found to match the actual situation well, and the Frictional-Voellmy rheology was identified as an accurate tool for simulating the long runout landslide. Based on the numerical parameters determined from the inversion work, the sliding process and possible travel distance of the potential landslide were simulated. The findings from this study will be helpful aid in predicting landslide runout in high-altitude regions, particularly for the residents in the potential danger zone of the Jianshanying landslide.

       

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