Real-time monitoring and early warning of landslides at relocated Wushan Town, the Three Gorges Reservoir, China

A total of 4200 landslides have been identified in the Three Gorges Reservoir area. It is planned that a total of 3200 landslides (i.e., 75% of the total number of landslides) will be monitored. Since 2003, the authors have carried out a geo-hazard real-time monitoring and early warning project at relocated Wushan town (Wushan new town) in the Three Gorges Reservoir area. Its purpose is to establish monitoring and early warning demonstration station. The station has three main functions: (1) Internet-based, (2) Comprehensive monitoring, and (3) Early warning. Based on the landslide monitoring experience at the Three Gorges Reservoir area, the early warning critical value at Wushan new town is established and presented in this paper. The critical situation is divided into four levels: I level early warning (indicated as blue), II level early warning (indicated as yellow), III level early warning (indicated as orange), and IV level early warning (indicated as red). Judging from the Yuhuangge landslide monitoring data in this area since 2004, the Wushan new town is at the blue early warning level. However, monitoring data of displacement at deep borehole showed that the displacement increased 5 mm in five months with an average velocity 1.0 mm/month. The velocity is 10 times higher than that at the early deformation stage. For this reason, the early warning level is changed from blue to yellow, which means an accelerated deformation period and emphasizes the need for denser monitoring. Keywords: Landslide, Three Gorges Reservoir, real-time monitoring, early warning

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Real-Time Monitoring and Data Analysis of an Active Landslide in the Three Gorges Reservoir

Engineering Geology for Society and Territory - Volume 2 ◽

10.1007/978-3-319-09057-3_253 ◽

2015 ◽

pp. 1433-1436 ◽

Cited By ~ 1

Author(s):

Haifeng Huang ◽

Wu Yi ◽

Qinglin Yi ◽

Shuqiang Lu

Keyword(s):

Data Analysis ◽

Real Time ◽

Three Gorges Reservoir ◽

Three Gorges ◽

Real Time Monitoring ◽

The Three Gorges Reservoir ◽

The Three Gorges ◽

Active Landslide

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Landslide Early Warning Systems Considering Impulse Waves – a Case Study of the Jiuxianping Landslide in the Three Gorges Reservoir Area, China

10.5194/egusphere-egu2020-9959 ◽

2020 ◽

Author(s):

Yu Zhang ◽

Yunkong Yin ◽

Frederic Evers ◽

Xin Liang

Keyword(s):

Early Warning ◽

Three Gorges Reservoir ◽

Disaster Risk ◽

Secondary Process ◽

Three Gorges ◽

The Three Gorges Reservoir ◽

The Three Gorges ◽

Landslide Early Warning ◽

Impulse Waves

Landslides along river, lake, reservoir and ocean shorelines may trigger impulse waves when they slide into the water body with a high velocity. This secondary process can extremely expand the area threatened by the landslide beyond its primary impact zone. Since the impoundment of the Three Gorges Reservoir in 2003, several landslides have caused huge property damage and several casualties due to an insufficient understanding of and reaction to impulse waves as a secondary process in landslide disaster risk management. This contribution aims to provide an integrative approach for risk perception and mitigation of a local landslide considering impulse waves as a secondary disaster risk.Jiuxianping landslide is located in the middle part of the Three Gorges Reservoir in China. Featuring a large thick layer of rock slope, the elevation of the landslide ranges from 95 to 385 m a.s.l., and the volume is approximately 5.7&#215;107 m3. The trailing edge of the landslide appeared as a more than 100 meters transverse tensile crack with an opening width of at least 25 cm in 2008, leading to damaged housing. The landslide stability is strongly influenced by rainfall and the reservoir water level. More than 300 people still live at the landslide site and there is a shipyard in operation at its toe.As a new perspective to detect secondary disasters, the areas with the highest risk and probability of damage under different conditions were estimated using an auto search function in GeoStudio and the Morgenstern-Price method. Then, we simulated the landslide runout as well as wave generation and propagation using Tsunami Squares to predict the risk intensity and impact area of the generated impulse waves. Lastly, we evaluated the warning levels for different scenarios and proposed the area restricted for navigation at corresponding warning levels. Our case study demonstrates the necessity and the importance of considering secondary disaster risks such as impulse waves in landslide early warning system.

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