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

Hu, Kaiheng; Wu, Cao; Tang, Jingqun; Pasuto, Alessandro; Li, Yanji; Yan, Shuaixing

doi:10.1007/s10346-018-1073-2

Cited by 38 publications

(12 citation statements)

References 24 publications

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“…The rupture surface developed in a heavily jointed bedrock mainly composed of metamorphic sandstone and phyllite. It has been proposed that the magnitude of the event was the consequence of a complex triggering mechanism, involving the sequential mobilization of different unstable slope sectors and the entrainment of older landslide deposits 17 . Intrieri et al .…”

Section: Resultsmentioning

confidence: 99%

Perspectives on the prediction of catastrophic slope failures from satellite InSAR

Carlà

Intrieri

Raspini

et al. 2019

Sci Rep

134

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We demonstrate the potential of satellite Interferometric Synthetic Aperture Radar (InSAR) to identify precursors to catastrophic slope failures. To date, early-warning has mostly relied on the availability of detailed, high-frequency data from sensors installed in situ. The same purpose could not be chased through spaceborne monitoring applications, as these could not yield information acquired in sufficiently systematic fashion. Here we present three sets of Sentinel-1 constellation images processed by means of multi-interferometric analysis. We detect clear trends of accelerating displacement prior to the catastrophic failure of three large slopes of very different nature: an open-pit mine slope, a natural rock slope in alpine terrain, and a tailings dam embankment. We determine that these events could have been located several days or weeks in advance. The results highlight that satellite InSAR may now be used to support decision making and enhance predictive ability for this type of hazard.

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Section: Resultsmentioning

confidence: 99%

Perspectives on the prediction of catastrophic slope failures from satellite InSAR

Carlà

Intrieri

Raspini

et al. 2019

Sci Rep

134

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“…Xu et al (2017) analyzed the landslide movement according to the seismic signal of the Xinmo Landslide recorded by the Maoxian MXI station and suggested that the 120 s process of the landslide can be divided into three stages. In the first stage (about 40 s), some hanging rocks at the ridge collapsed and impacted the lower part of the source area, leading to the propagation of preexisting cracks and the failure of the sliding body (Hu et al, 2018). The second stage, i.e., the main sliding, lasted 60 s from failure to stacking.…”

Section: Velocity Variationsmentioning

confidence: 99%

Numerical Simulation of the 2017 Xinmo Catastrophic Landslide Considering Entrainment Effect

2020

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The mass movement process of the 2017 Xinmo catastrophic landslide was simulated using the discreet element method (DEM). Field investigation indicates that the basal entrainment is a typical feature of this landslide. Hence, the entrained colluvium on the sliding path is considered in the DEM model. According to the terrain elevation data before and after sliding, the slope geometry is divided into three parts: sliding bed, sliding body, and colluvium on the path. The blocks are generated in MATLAB and a fill-remove method has been used to produce the loose colluvium. The key parameter, contact friction angel, which controls the mobility of mass movement, has been obtained through displacement back analysis. The simulated deposit area and main sliding time coincide with actual landslide characteristics. Simulation results indicate that the colluvium is pushed to the bottom of the Songpinggou Valley by the sliding body. The local topography has a significant influence on the sliding direction. Some typical phenomena of substrate entrainment, including frontal plowing, mass spray, shear zones in substrate, thickened substrate, and basal abrasion, are observed in the DEM simulation. During the entrainment process, the frontal plowing, or the thrust, plays an important role in creating the substrate failure compared with basal abrasion. After the failure of the whole colluvium, the magnitude of thrust descends quickly but is still slightly larger than that of shear thrust. Entrainment of dry material on the slope leads to more friction energy consumption and reduces the mobility of mass movement. This work shows a good capability of simulating entrainment of dry materials using a discreet element method and highlights the significance of plowing relative to the basal abrasion under conditions of limited path material supply.

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“…Fig. 1b;(Hu et al 2018)). Metamorphic sandstones, marbleized limestones and 92 phyllites belonging to the Weiguanqun formation of the Lower Permian (P1) period and 93 to the Bocigou (T1b) and the Zagunao (T2z) formations of the Triassic, as well as 94 Quaternary lacustrine (Q) and recent rock avalanches deposits, outcrop in the study area 95(Fan et al 2017).…”

mentioning

confidence: 94%

Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry

Dai

Liu

et al. 2019

Landslides

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Timely and effective post-disaster assessment is of significance for the 14 design of rescue plan, taking disaster mitigation measures and disaster analysis. Field 15 investigation and remote sensing methods are the common way to perform post-disaster 16 assessment, which are usually limited by dense cloud coverage, potential risk and tough 17 transportation etc. in the mountainous area. In this paper, we employ the 2017 18 catastrophic Xinmo landslide (Sichuan, China) to demonstrate the feasibility of using 19 spaceborne synthetic aperture radar (SAR) data to perform timely and effective post-20 disaster assessment. With C-band Sentinel-1 data, we propose to combine 21 interferometric coherence to recognize the stable area, which helps us successfully 22 identify landslide source area and boundaries in a space-based remote sensing way. 23Complementarily, X-band TanDEM-X SAR data allow us to generate a precise pre-24 failure high-resolution digital elevation model (DEM), which provides us the ability to 25 accurately estimate the depletion volume and accumulated volume of Xinmo landslide. 26The results prove that spaceborne SAR can provide a quick, valuable and unique 27 assistance for post-disaster assessment of landslides from a space remote sensing way. 28 This paper has to be cited as:

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

Cited by 38 publications

References 24 publications

Perspectives on the prediction of catastrophic slope failures from satellite InSAR

Perspectives on the prediction of catastrophic slope failures from satellite InSAR

Numerical Simulation of the 2017 Xinmo Catastrophic Landslide Considering Entrainment Effect

Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry

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