Displacement Monitoring and Physical Exploration on the Shuping Landslide Reactivated by Impoundment of the Three Gorges Reservoir, China

Wang, Fawu; Wang, Gonghui; Sassa, Kyoji; Takeuchi, Atsuo; Araiba, Kiminori; Zhang, Yeming; Peng, Xuanming

doi:10.1007/3-540-28680-2_40

Cited by 30 publications

(18 citation statements)

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“…For slopes in the reservoirs, fluctuations of the water level can be a significant influencing factor for slopes within a reservoir (Breth 1967;Wang et al 2005;Liu et al 2004). The fluctuation of the reservoir water levels may change the water content and seepage conditions in the reservoir slopes.…”

Section: Introductionmentioning

confidence: 98%

Displacement prediction in colluvial landslides, Three Gorges Reservoir, China

2012

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The prediction of active landslide displacement is a critical component of an early warning system and helps prevent property damage and loss of human lives. For the colluvial landslides in the Three Gorges Reservoir, the monitored displacement, precipitation, and reservoir level indicated that the characteristics of the deformations were closely related to the seasonal fluctuation of rainfall and reservoir level and that the displacement curve versus time showed a stepwise pattern. Besides the geological conditions, landslide displacement also depended on the variation in the influencing factors. Two typical colluvial landslides, the Baishuihe landslide and the Bazimen landslide, were selected for case studies. To analyze the different response components of the total displacement, the accumulated displacement was divided into a trend and a periodic component using a time series model. For the prediction of the periodic displacement, a back-propagation neural network model was adopted with selected factors including (1) the accumulated precipitation during the last 1-month period, (2) the accumulated precipitation over a 2-month period, (3) change of reservoir level during the last 1month, (4) the average elevation of the reservoir level in the current month, and (5) the accumulated displacement increment during 1year. The prediction of the displacement showed a periodic response in the displacement as a function of the variation of the influencing factors. The prediction model provided a good representation of the measured slide displacement behavior at the Baishuihe and the Bazimen sites, which can be adopted for displacement prediction and early warning of colluvial landslides in the Three Gorges Reservoir.

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Section: Introductionmentioning

confidence: 98%

Displacement prediction in colluvial landslides, Three Gorges Reservoir, China

2012

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“…Presently, this type of extreme risk has been recognized at many sites around the world, among which are the Usoi-Sarez Lake (Tajikistan, Pamir, Ischuk 2011), Laxiwa water reservoir, Three Gorges Lake (China, Zhang et al 2013), Yangtze Three Gorges Lake (Wang et al 2005;Wang and Li 2009) and Aknes rock slope (Western Norway, Blikra et al 2006). …”

Section: Introductionmentioning

confidence: 99%

“…The Yangtze Three Gorges project (Wang et al 2005;Wang and Li 2009) generated a 660-km-long lake, which triggered an estimated total number of about 5386 landslides. 392 landslides were characterized by a volume larger than 0.01 9 10 6 m 3 (Wang and Li 2009), of which 74 were with volume larger than 1 9 10 6 m 3 .…”

Section: Introductionmentioning

confidence: 99%

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Landslide Spreading, Impulse Water Waves and Modelling of the Vajont Rockslide

Crosta

Imposimato²,

Roddeman³

2015

Rock Mech Rock Eng

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Landslides can occur in different environments and can interact with or fall into water reservoirs or open sea with different characteristics. The subaerial evolution and the transition from subaerial to subaqueous conditions can strongly control the landslide evolution and the generated impulse waves, and consequently the final hazard zonation. We intend to model the landslide spreading, the impact with the water surface and the generation of the impulse wave under different 2D and 3D conditions and settings. We verify the capabilities of a fully 2D and 3D FEM ALE approach to model and analyse near-field evolution. To this aim we validate the code against 2D laboratory experiments for different Froude number conditions (Fr = 1.4, 3.2). Then the Vajont rockslide (Fr = 0.26-0.75) and the consequent impulse wave are simulated in 2D and 3D. The sliding mass is simulated as an elasto-plastic Mohr-Coulomb material and the lake water as a fully inviscid low compressibility fluid. The rockslide model is validated against field observations, including the total duration, the profile and internal geometry of the final deposit, the maximum water run-up on the opposite valley flank and on the rockslide mass. 2D models are presented for both the case of a dry valley and that of the impounded lake. The set of fully 3D simulations are the first ones available and considering the rockslide evolution, propagation and interaction with the water reservoir. Advantages and disadvantages of the modelling approach are discussed.

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“…3 for the location) in December 2004. In the borehole, the groundwater table was about 8.8 m deep, and the surface of rupture zone, which consisted of silty clay with gravel, was at a depth between 66.7 and 75.9 m. Slickensides were numerous in the zone (Wang et al 2005).…”

Section: Landslide Geometrymentioning

confidence: 99%