The formation of the Wulipo landslide and the resulting debris flow in Dujiangyan City, China

Chen, Xingzhang; Cui, Yifei

doi:10.1007/s11629-017-4392-1

Cited by 71 publications

(23 citation statements)

References 30 publications

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“…The steep topography and high-intensity rainfall make this area prone to landslides. Landslides triggered by rainfall [36] and earthquakes are very widespread. The Qinba Mountains are located in southern Shaanxi Province and formed during the collision of the North China Block and the South Chinese Yangtze Platform.…”

Section: Study Areamentioning

confidence: 99%

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Spatiotemporal Distribution of Nonseismic Landslides during the Last 22 Years in Shaanxi Province, China

Qiu

Cui

Yang

et al. 2019

IJGI

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The spatiotemporal distribution of landslides provides valuable insight for the understanding of disastrous processes and landslide risk assessment. In this work, we compiled a catalog of landslides from 1996 to 2017 based on existing records, yearbooks, archives, and fieldwork in Shaanxi Province, China. The statistical analyses demonstrated that the cumulative frequency distribution of the annual landslide number was empirically described by a power-law regression. Most landslides occurred from July to October. The relationship between landslide time interval and their cumulative frequency could be fitted using an exponential regression. The cumulative frequency of the landslide number could be approximated using the power-law function. Moreover, many landslides caused fatalities, and the number of fatalities was related to the number of landslides each month. Moreover, the cumulative frequency was significantly correlated with the number of fatalities and exhibited a power-law relationship. Furthermore, obvious differences were observed in the type and density of landslides between the Loess Plateau and the Qinba Mountains. Most landslides were close to stream channels and faults, and were concentrated in cropland at elevations from 600–900 m and on slope gradients from 30–40°. In addition, the landslide frequency increased as the annual rainfall levels increased over a large spatial scale, and the monthly distribution of landslides presented a significant association with the precipitation level. This study provides a powerful method for understanding the spatiotemporal distribution of landslides via a rare landslide catalog, which is important for engineering design and planning and risk management.

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Section: Study Areamentioning

confidence: 99%

“…The steep topography and high-intensity rainfall make this area prone to landslides. Landslides triggered by rainfall [36] and earthquakes are very widespread.…”

Section: Study Areamentioning

confidence: 99%

Spatiotemporal Distribution of Nonseismic Landslides during the Last 22 Years in Shaanxi Province, China

Qiu

Cui

Yang

et al. 2019

IJGI

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“…Toppling failure, being a kind of typical instability mode for rock slopes, widely exists in domestic and foreign water conservancy, hydropower, highways, and open-pit mine slope engineering. e toppling instability of slopes has caused great harm to people's lives, property safety, and engineering construction [1][2][3][4]. However, due to the cognition limitations of the public with regard to anaclinal layered slopes, these slopes had not been able to arouse people's attention until anaclinal layered toppling landslides frequently occurred.…”

Section: Introductionmentioning

confidence: 99%

An Optimization of the Analytical Method for Determining the Flexural Toppling Failure Plane

Diao

2020

Advances in Civil Engineering

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According to the results of the physical model tests, the failure plane of an anaclinal layered rock slope was a linear-type plane at an angle above the plane normal to the discontinuities, and the failure mode of rock strata was bending tension. However, the shear failure occurred near the slope toe, the effects of the cohesion of the discontinuities on the stability of the slope, and the contribution of tangential force to cross-section axial force were neglected in such studies. Moreover, none of the experts had developed a rigorously theoretical method for determining the angle between the failure plane and the plane normal to the discontinuities. is paper was initiated for the purpose of solving the problems described above. With the cantilever beam model and a step-by-step analytical method, an optimization of the analytical method for determining the flexural toppling failure plane based on the limit equilibrium theory was developed and the corresponding formulations were derived. Based on the present computational framework, comparisons with other studies were carried out by taking a slate slope in South Anhui in China and a rock slope facing the Tehran-Chalus Road near the Amir-Kabir Dam Lake in Iran. Furthermore, the sensitivity analyses of the parameters used in the calculation process of the failure angle of the slate slope in South Anhui in China were performed. e results demonstrated that the failure plane and the safety factor of the stability obtained with the presented method were credible, which verified the proposed method. e dip angle of the slope, the dip angle of the rock stratum, and the friction angle of the discontinuities were the controlling factors for the overall failure of the slate slope in South Anhui in China.

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“…Large-volume landslides represent a persistent threat to human settlements and infrastructures in many mountainous areas worldwide. Recent large-scale landslide events, such as the August 6th, 2010 Mount Meager rock slide-debris flow in Canada (Guthrie et al 2012), the July 10th, 2013 Wulipo landslide in China (Chen and Cui 2017), and the March 22nd, 2014 Oso landslide in USA (Iverson et al 2015), are characterized by high speed, long runout distance, and flow-like movement. Some of unstable slopes may change abruptly and move a long distance within minutes after a long period of slow deformation (Kilburn and Pasuto 2003).…”

Section: Introductionmentioning

confidence: 99%

New understandings of the June 24th 2017 Xinmo Landslide, Maoxian, Sichuan, China

Tang

et al. 2018

Landslides

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On June 24, 2017 (21:39 UTC, June 23rd), a catastrophic landslide occurred at Xinmo village of Mao County, Sichuan Province, China. Soon after the event, some research teams carried out field investigations in order to both support the emergency operations and to understand the failure mechanism and possible evolutionary scenarios. Based on further in-depth interpretation of high-resolution remote-sensing images and detailed field surveys, it is newly found that there are at least six old rockfall deposits in the source area that prove the historic activity of the landslide scarp. Seismic data of the event and morphological evidences along the slope indicate that the landslide was preceded by a significant rockfall. Mechanical calculations show that the surface force due to pore water was far less than the impact force due to the rockfall. It means that the subsequent major rock avalanche was more likely due to the impact of the rockfall on the rock slope below, which broke the rock bridges and caused drop of shear resistance along the fractures. According to these new understandings, a different triggering mechanism for the landslide is proposed.

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The formation of the Wulipo landslide and the resulting debris flow in Dujiangyan City, China

Cited by 71 publications

References 30 publications

Spatiotemporal Distribution of Nonseismic Landslides during the Last 22 Years in Shaanxi Province, China

Spatiotemporal Distribution of Nonseismic Landslides during the Last 22 Years in Shaanxi Province, China

An Optimization of the Analytical Method for Determining the Flexural Toppling Failure Plane

New understandings of the June 24th 2017 Xinmo Landslide, Maoxian, Sichuan, China

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