Characterizing the Development Pattern of a Colluvial Landslide Based on Long-Term Monitoring in the Three Gorges Reservoir

Characterizing the Development Pattern of a Colluvial Landslide Based on Long-Term Monitoring in the Three Gorges Reservoir
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基于长期监测的三峡水库崩积滑坡发育规律表征

DOI:
10.3390/rs13020224
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发表时间:
2021-01-01
期刊:
影响因子:
5
通讯作者:
Yin, Kunlong
Yin, Kunlong
中科院分区:
工程技术2区
文献类型:
--
作者:
Liang, Xin;Gui, Lei;Yin, Kunlong

文献摘要

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三峡水库自2003年6月蓄水以来,库水位的起伏和降雨共同作用,造成库区2500多处滑坡。在这些不稳定问题中,大多数堆积体滑坡表现出缓慢移动的模式,并对当地人民和航道通航构成重大威胁。因此,采用了先进的监测技术来调查滑坡变形,并为后续的对策提供见解。在长期监测的基础上,分析了甘井子滑坡这一大型堆积体滑坡的发育规律。为了解滑坡的运动学特征,进行了基于全球导航卫星系统(GNSS)、裂纹仪、倾斜仪和压力计的实时多源监测的综合分析。结果表明,甘井子滑坡对库水波动和降雨具有时变响应。根据社区监测的补充,滑坡的演化分为三个阶段,即蓄水前的稳定阶段、倒退破坏的初始运动阶段和逐步加速的浅层运动阶段。后两个阶段分别对库水位下降和降雨入渗敏感。研究中采用的所有监测方法对于了解堆积体滑坡的时变规律具有重要意义,对于滑坡机制分析和风险缓解预警也是必不可少的。
Since the impoundment of the Three Gorges Reservoir (TGR) in June 2003, the fluctuation of the reservoir water level coupled with rainfall has resulted in more than 2500 landslides in this region. Among these instability problems, most colluvial landslides exhibit slow-moving patterns and pose a significant threat to local people and channel navigation. Advanced monitoring techniques are therefore implemented to investigate landslide deformation and provide insights for the subsequent countermeasures. In this study, the development pattern of a large colluvial landslide, locally named the Ganjingzi landslide, is analyzed on the basis of long-term monitoring. To understand the kinematic characteristics of the landslide, an integrated analysis based on real-time and multi-source monitoring, including the global navigation satellite system (GNSS), crackmeters, inclinometers, and piezometers, was conducted. The results indicate that the Ganjingzi landslide exhibits a time-variable response to the reservoir water fluctuation and rainfall. According to the supplement of community-based monitoring, the evolution of the landslide consists of three stages, namely the stable stage before reservoir impoundment, the initial movement stage of retrogressive failure, and the shallow movement stage with stepwise acceleration. The latter two stages are sensitive to the drawdown of reservoir water level and rainfall infiltration, respectively. All of the monitoring approaches used in this study are significant for understanding the time-variable pattern of colluvial landslides and are essential for landslide mechanism analysis and early warning for risk mitigation.