Slope Deformation Caused by Water-level Variation in the Three Gorges Reservoir, China

Wang, Fawu; Yin, Yuepin; Huo, Zhitao; Zhang, Yeming; Wang, Gonghui; Ding, R.

doi:10.1007/978-3-642-22087-6_15

Cited by 5 publications

(10 citation statements)

References 5 publications

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“…Due to the lack of availability of in-situ measurements of CRs in the Shuping landslide area, the offset tracking results are verified by the extensometer measurements presented by Wang et al [23] on the eastern block of the Shuping landslide (where CR7-11 is located).…”

Section: Validation Of Derived Shuping Landslide Ratesmentioning

confidence: 57%

“…Most of the landslides which occurred in the Three Gorges Region are identified as being triggered by water, with the variations of reservoir water level and seasonal heavy rainfall being the two main factors [23,54].…”

Section: Study Sitementioning

confidence: 99%

“…The Shuping landslide is a typical slope accumulation landslide where deformation has increased since the water impoundment of the Three Gorges [23,54]. Following this for every single year, the deformation magnitude periodically fluctuates with variations in the reservoir water level which also coincides with rainfall periodicity [56].…”

Section: Study Sitementioning

confidence: 99%

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Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas

Sun

Müller

2016

Remote Sensing

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Sub-Pixel Offset Tracking (sPOT) is applied to derive high-resolution centimetre-level landslide rates in the Three Gorges Region of China using TerraSAR-X Hi-resolution Spotlight (TSX HS) space-borne SAR images. These results contrast sharply with previous use of conventional differential Interferometric Synthetic Aperture Radar (DInSAR) techniques in areas with steep slopes, dense vegetation and large variability in water vapour which indicated around 12% phase coherent coverage. By contrast, sPOT is capable of measuring two dimensional deformation of large gradient over steeply sloped areas covered in dense vegetation. Previous applications of sPOT in this region relies on corner reflectors (CRs), (high coherence features) to obtain reliable measurements. However, CRs are expensive and difficult to install, especially in remote areas; and other potential high coherence features comparable with CRs are very few and outside the landslide boundary. The resultant sub-pixel level deformation field can be statistically analysed to yield multi-modal maps of deformation regions. This approach is shown to have a significant impact when compared with previous offset tracking measurements of landslide deformation, as it is demonstrated that sPOT can be applied even in densely vegetated terrain without relying on high-contrast surface features or requiring any de-noising process.

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Section: Validation Of Derived Shuping Landslide Ratesmentioning

confidence: 57%

Section: Study Sitementioning

confidence: 99%

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Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas

Sun

Müller

2016

Remote Sensing

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“…In previous studies, the fluctuation of the reservoir water level and seasonal rainfall are found as the two main triggering factors for landslides along the Yangtze River banks [31,[33][34][35][36]. Two studies of the Tanjiahe landslide show controversial results on whether the local rainfall is the key driving factor of the slope movements in this area [29,37].…”

Section: The Relationship Between the Landslide And Water Level Variamentioning

confidence: 99%

“…As is well known [31,32], the ground water table or pore-water pressure within the soil layers of the landslide body are affected by the reservoir surface fluctuation and local precipitation, which decreases the effective normal stress leading to a decrease in shear strength of the soils. In previous studies, the fluctuation of the reservoir water level and seasonal rainfall are found as the two main triggering factors for landslides along the Yangtze River banks [31,[33][34][35][36]. Two studies of the Tanjiahe landslide show controversial results on whether the local rainfall is the key driving factor of the slope movements in this area [29,37].…”

Section: The Relationship Between the Landslide And Water Level Variamentioning

confidence: 99%

Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking

2017

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Sub-pixel offset tracking has been used in various applications, including measurements of glacier movement, earthquakes, landslides, etc., as a complementary method to time series InSAR. In this work, we explore the use of a small baseline subset (SBAS) Offset Tracking approach to monitor very slow landslides with centimetre-level annual displacement rate, and in challenging areas characterized by high humidity, dense vegetation cover, and steep slopes. This approach, herein referred to as SBAS Offset Tracking, is used to minimize temporal and spatial de-correlation in offset pairs, in order to achieve high density of reliable measurements. This approach is applied to a case study of the Tanjiahe landslide in the Three Gorges Region. Using the TerraSAR-X Staring Spotlight (TSX-ST) data, with sufficient density of observations, we estimate the precision of the SBAS offset tracking approach to be 2-3 cm on average. The results demonstrated accord well with corresponding GPS measurements.

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Influence of Water Level Drawdown on Landslide Movement in Reservoir

Yang¹,

Wang²

2014

Landslide Science for a Safer Geoenvironment

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Slope Deformation Caused by Water-level Variation in the Three Gorges Reservoir, China

Cited by 5 publications

References 5 publications

Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas

Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas

Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking

Influence of Water Level Drawdown on Landslide Movement in Reservoir

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