基于多源数据融合的三峡库区谭家河滑坡变形机理及稳定性分析

    DEFORMATION MECHANISM AND STABILITY ANALYSIS OF THE TANJIAHE LANDSLIDE IN THE THREE GORGES RESERVOIR AREA BASED ON MULTI-SOURCE DATA FUSION

    • 摘要: 库岸古滑坡成因机理复杂、稳定性状态识别难度大、危害性高,历经多年库水位循环升降后,其变形机制及演化模式呈现出一些新特点。以三峡库区谭家河古滑坡为例,采用多源数据融合的方法,研究现阶段该滑坡在降雨和库水涨落影响下的变形响应机制及稳定性。得出以下结论:SBAS-InSAR结果显示,谭家河滑坡中后部以沉降变形为主,前缘局部出现抬升变形,且中后部形变量级远高于前缘,整体形变速率在-39.85~9.36 mm·a-1之间,与滑坡现场的形变区域及形变量级基本一致;地表位移监测结果表明,库水位波动及降雨是谭家河滑坡一直处于蠕动变形状态的重要因素,其中库水下降速率对该滑坡在库水下降-低水位运行阶段发生位移阶跃具有重要影响;测斜监测数据揭示了谭家河滑坡地下水位涨落下的变形响应规律,给出了滑坡发生位移阶跃的关键预警指标和参考阈值,并阐明了滑坡浅层地表位移与深部位移之间的时滞效应;UDEC数值模拟结果反演出了谭家河滑坡地下水与库水之间的径流、排泄、补给关系,得出滑坡在极端工况下可能形成“下滑段水平推移-阻滑段弯曲隆起-陡缓交界处剪出”的变形失稳破坏模式;多源数据融合下的滑坡变形机理分析表明,谭家河滑坡目前受“浮托减重”与“动水压力”的复合影响,库水抬升时受“浮托”效应影响,影响效果由滑坡前缘向中后部递减,库水消落时水动力作用显著增强,库水下降速率对滑坡位移变形产生重要影响。本研究为进一步完善滑坡监测体系建设和深入理解大型库岸古滑坡变形演化机理提供重要的理论依据和数据支撑。

       

      Abstract: The genesis mechanism of ancient landslides along reservoir banks is complex, the identification of their stability status is challenging, and their potential hazards are significant. After years of cyclical fluctuations in reservoir water levels, the deformation mechanisms and evolutionary patterns of these landslides have exhibited new characteristics. Taking the ancient landslide in the Tanjiahe area of the Three Gorges Reservoir as a case study, this research employs a multi-source data fusion approach to investigate the current deformation response mechanisms and stability of the landslide under the influences of rainfall and reservoir water level fluctuations. The following conclusions are drawn: The SBAS-InSAR results indicate that the primary deformation in the middle and rear sections of the Tanjiahe landslide is characterized by subsidence, while localized uplift deformation is observed at the front edge. The deformation magnitude in the middle and rear sections is significantly greater than that at the front. The overall deformation velocity ranges from -39.85 mm·a-1 to 9.36 mm·a-1,which aligns with the deformation areas and magnitude levels observed in the field. Surface displacement monitoring results show that fluctuations in reservoir water levels and rainfall are key factors driving the persistent creep deformation of the Tanjiayuan landslide. Among these, the rate of reservoir water drawdown has a significant impact on the occurrence of step-type deformation during the drawdown-to-low-water level phase. Inclinometer data reveal the deformation response patterns of the landslide to fluctuations in groundwater levels, providing critical early-warning indicators and reference thresholds for step-type deformation. Additionally, the time-lag effect between shallow surface displacement and deep-seated displacement is clarified. The UDEC numerical simulation results inverted the relationship between groundwater and reservoir water in the Tanjiayuan landslide, including runoff, drainage, and recharge. The study suggests that under extreme conditions, the landslide may experience a deformation failure mode characterized by "horizontal displacement in the landslide-driven block, bulging uplift in the slippage resistance section, and shear failure at the junction between the steep and gentle slopes." The analysis of landslide deformation mechanisms through multi-source data fusion indicates that the Tanjiayuan landslide is currently influenced by the combined effects of "buoyancy weight loss" and "hydrodynamic pressure." During the rise in the reservoir water level, the "buoyancy weight loss" effect is prominent, with its impact decreasing from the front to the middle and rear sections of the landslide. During water drawdown, the hydrodynamic effect is significantly enhanced, and the rate of reservoir water level decline plays a crucial role in the displacement and deformation of the landslide. This study provides an important theoretical foundation and data support for further improving landslide monitoring systems and for a deeper understanding of the deformation and evolution mechanisms of ancient landslides along large reservoir banks.

       

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