基于深部位移的蠕滑型滑坡预警指标及预警预报研究

doi:10.13722/j.cnki.jrme.2018.1336

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摘要将动能、动能变化率用作为基于深部位移的滑坡预警指标，依托大量滑坡的深部位移监测数据，分析滑坡演化过程中累积位移–深度曲线、不同深度处位移速率、动能、动能变化率的变化特征和规律，构建滑坡不同演化变形阶段的辨识方法。研究结果表明：滑动面以上不同深度处的位移速率数值虽不同，但随时间的变化规律基本一致；滑坡由匀速变形阶段进入加速变形阶段过程中，动能变化率由零增加为较大的正值；临滑变形阶段，动能、动能变化率骤然剧增的特征更加显著；所建立的动能和动能变化率预警指标能够精细地识别出滑坡所处的变形阶段，减小因降雨、人工活动等外界因素常导致的误判率；通过基于深部位移的预警指标变化特征可以更好地识别出蠕滑型滑坡的变形阶段。

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	陈贺1
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	李亚军3

关键词 ：边坡工程, 深部位移, 预警指标, 演化规律, 动能

Abstract：Kinetic energy and its variation rate were used as early-warning indictors based on deep displacements. On the basis of deep displacement data obtained from a large number of landslides，the characteristics and variation laws of accumulated displacement vs. depth curves，displacement rates at different depths，kinetic energy and its variation rate were analyzed in the processes of landslide evolution，the methods applied to distinguish the different deformation stages were established. The results demonstrate that the values of the displacement rate above sliding surface are different，but the variation laws with time are consistent on the whole. During the processes of landslides enter into accelerative deformation stage from constant deformation stage，the variation rate of kinetic energy increases from zero to a larger positive value. The kinetic energy and its variation rate increase sharply and show significantly catastrophic characteristics at the stage of critical sliding. The early-warning indictors of kinetic energy and its variation rate established in this paper are able to distinguish the deformation stages of landslides finely and decrease misjudgement rate caused by external factors frequently such as rainfall，artificial activities etc. The characteristics of early-warning indictors based on deep displacements can be used to distinguish different deformation stages of creep landslides better.

Key words： slope engineering deep displacement early-warning indictors evolution laws kinetic energy

引用本文:

陈贺1，2，3，汤华1，葛修润1，李亚军3. 基于深部位移的蠕滑型滑坡预警指标及预警预报研究[J]. 岩石力学与工程学报, 2019, 38(S1): 3015-3024.
CHEN He1，2，3，TANG Hua1，GE Xiurun1，LI Yajun3. Research on early warning of creep landslide by early-warning indictors based on deep displacements. , 2019, 38(S1): 3015-3024.

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http://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2018.1336 或 http://rockmech.whrsm.ac.cn/CN/Y2019/V38/IS1/3015

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