Mechanism of the catastrophic June 2017 landslide at Xinmo Village, Songping River, Sichuan Province, China

Wang, Yunsheng; Zhao, Bo; Li, Jia

doi:10.1007/s10346-017-0927-3

Cited by 77 publications

(26 citation statements)

References 13 publications

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“…Based on this hypothesis, considering true friction coefficients of different rock categories are greater than 0.6 (e.g., Byerlee, 1978;Di Toro et al, 2011;Spagnuolo et al, 2016), this low apparent friction coefficient suggests that basal fluid pressures were at least 43% of basal normal stress. During two months before the Xinmo landslide occurred, the antecedent rainfall in Diexi town reaches 200 mm, which is 42% more than the same periods in previous years Wang et al, 2018). Such durative heavy rainfall would cause noticeable Figure 6.…”

Section: Accelerating Stage: High-position Rockslide and Rapid Long-rmentioning

confidence: 93%

Chain‐Style Landslide Hazardous Process: Constraints From Seismic Signals Analysis of the 2017 Xinmo Landslide, SW China

Chen

et al. 2019

JGR Solid Earth

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Landslides generally involve rapid acceleration and deceleration of huge mass in just several minutes, and their unpredictability have made real‐time detections of their rapid processes difficult. Seismic signals generated by landslides provide an excellent opportunity to obtain the time‐dependent observations on landslide's processes. We invert the force‐time function by fitting long‐period seismic signals generated by Xinmo landslide on 23 June 2017, SW China, and determine three‐stage dynamic processes within 104‐s duration of this event. Constrained by the field observed runout distance, we deduce the landslide's mass of about 9 × 109 kg with corresponding maximum velocity and acceleration of 58.8 m/s and 4.38 m/s2, respectively. Combining dynamic parameters, apparent friction coefficient, and seismic signal features, we depict a dynamic landslide process initiated by high‐position rockslide, traveled by rapid long runout debris, and deposited over an old landslide's deposition fan. The rapid process of the landslide is affected by multiple preconditions such as the structure, topography, and meteorology of the site, which is characteristic of a typical chain‐style landslide hazard and could be helpful to recognize potential slope instabilities.

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Section: Accelerating Stage: High-position Rockslide and Rapid Long-rmentioning

confidence: 93%

Chain‐Style Landslide Hazardous Process: Constraints From Seismic Signals Analysis of the 2017 Xinmo Landslide, SW China

Chen

et al. 2019

JGR Solid Earth

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“…It was found that the characteristics of deformation and strain rate changed with the development of the landslide. By considering the continuous expansion of the potential slip surface and the propagation of cracks with the development of this landslide [1,5], we suggested that these deformation characteristics and changes in strain rate corresponded to the propagation and interconnection of the cracks and the potential slip surface of this landslide. The expansion of the potential slip surface will lead to a change in the stress distribution, which, in turn, will lead to a change in the deformation characteristics ultimately.…”

Section: Landslide Development Analysismentioning

confidence: 96%

“…The maximum slip of the basal plane reached 14.5 cm/year, which was larger than that of the surface of the slope. Based on previous research, the landslide formed a locked section at the foot of the source [5]. The locked section is an intact portion of the rock mass where the sliding surface is not completely formed or is completely absent [32].…”

Section: Landslide Modellingmentioning

confidence: 99%

“…This landslide is located at the junction of the Qinghai-Tibet Plateau and the Longmenshan Alpine region with active tectonic activities; three is located at the junction of the Qinghai-Tibet Plateau and the Longmenshan Alpine region with active tectonic activities; three major earthquakes have occurred during the past one hundred years [1][2][3][4]. These earthquakes have caused the creation of internal joints and cracks in the rock, which allowed for the development and shearing of the landslide [1,2,5]. Rain water and the long-term gravity effect caused the propagation of these cracks [1].…”

Section: Introductionmentioning

confidence: 99%

“…Rain water and the long-term gravity effect caused the propagation of these cracks [1]. The integrity of the slope was continually damaged and a potential slip surface formed before the collapse [5].…”

Section: Introductionmentioning

confidence: 99%

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Diagnosis of Xinmo (China) Landslide Based on Interferometric Synthetic Aperture Radar Observation and Modeling

et al. 2019

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The Xinmo landslide occurred on 24 June 2017 and caused huge casualties and property losses. As characteristics of spatiotemporal pre-collapse deformation are a prerequisite for further understanding the collapse mechanism, in this study we applied the interferometric synthetic aperture radar (InSAR) technique to recover the pre-collapse deformation, which was further modeled to reveal the mechanism of the Xinmo landslide. Archived SAR data, including 44 Sentinel-1 A/B data and 20 Envisat/ASAR data, were used to acquire the pre-collapse deformation of the Xinmo landslide. Our results indicated that the deformation of the source area occurred as early as 10 years before the landslide collapsed. The deformation rate of source area accelerated about a month before the collapse, and the deformation rate in the week before the collapse reached 40 times the average before the acceleration. Furthermore, the pre-collapse deformation was modeled with a distributed set of rectangular dislocation sources. The characteristics of the pre-collapse movement of the slip surface were acquired, which further confirmed that a locked section formed at the bottom of the slope. In addition, the spatial-temporal characteristics of the deformation was found to have changed significantly with the development of the landslide. We suggested that this phenomenon indicated the expansion of the slip surface and cracks of the landslide. Due to the expansion of the slip surface, the locked section became a key area that held the stability of the slope. The locked section sheared at the last stage of the development, which triggered the final run-out. Our study has provided new insights into the mechanism of the Xinmo landslide.

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Formation Mechanism and Stability of the Instable Block Formed in Xinmo Landsilde

Xie

et al. 2020

Understanding and Reducing Landslide Disaster Risk

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Mechanism of the catastrophic June 2017 landslide at Xinmo Village, Songping River, Sichuan Province, China

Cited by 77 publications

References 13 publications

Chain‐Style Landslide Hazardous Process: Constraints From Seismic Signals Analysis of the 2017 Xinmo Landslide, SW China

Chain‐Style Landslide Hazardous Process: Constraints From Seismic Signals Analysis of the 2017 Xinmo Landslide, SW China

Diagnosis of Xinmo (China) Landslide Based on Interferometric Synthetic Aperture Radar Observation and Modeling

Formation Mechanism and Stability of the Instable Block Formed in Xinmo Landsilde

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