Spatiotemporal distribution and evolution characteristics of successive landslides on the Heifangtai tableland of the Chinese Loess Plateau

Yang, Dan; Qiu, Haijun; Hu, Sheng; Zhu, Yaru; Cui, Yifei; Du, Chi; Liu, Zijing; Pei, Yanqian; Cao, Mingming

doi:10.1016/j.geomorph.2021.107619

Cited by 36 publications

(10 citation statements)

References 58 publications

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“…This provided new insights for understanding landslide recurrence. In the loess-covered region, Yang et al (2021aYang et al ( , 2021b suggested that under the impact of agricultural irrigation, the susceptibility to follow-up landslides may remain high until all of the topographic instabilities have been destroyed through sliding. In the permafrost region, headwall retrogression is evidence of RTS activity.…”

Section: Potential Reason For the Activity Of Rtss In 2018-2020 Time ...mentioning

confidence: 99%

Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau

Yang

Qiu

et al. 2023

JGR Earth Surface

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Retrogressive thaw slumps (RTSs) have become a dominant geomorphic event in permafrost regions due to the modern climate change. However, the roles of topographic, vegetation, and soil factors in influencing the spatial distribution and recurrence of RTSs remain not fully understood. Here, we identified the formation and recurrence of 459 RTSs during 2008–2021 using satellite images of the central Qinghai‐Tibet Plateau (Northwest of the Beiluhe Basin, 239 km2). We found that the topographic and environmental attributes of the RTSs exhibited strong correlations with the variation in the RTS density. The RTS‐affected areas had a higher slope, elevation, relative slope position, normalized difference vegetation index, soil water content, and lower soil bulk density than other landscapes. Regarding the influence of topographic and environmental attributes on the activity status of RTSs during 2018–2020, we found that the higher slope, elevation, and soil water content were advantageous for the activity of the RTSs. The RTSs with larger sizes and presenting an elongated shape were more likely to be active. Additionally, we examined the variation of the headwall shape of RTSs based on the fractal dimension and UAV‐based orthophoto. We found that the headwall shape of RTSs becomes more complicated due to the small‐scale thawing of ice‐rich permafrost, which may further induce subsequent thaw slumping. Higher air temperature triggers new RTSs, and increased precipitation may be responsible for the further activity of RTSs. Our findings can enhance our understanding of the development pattern and mechanism of RTSs in permafrost regions.

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Section: Potential Reason For the Activity Of Rtss In 2018-2020 Time ...mentioning

confidence: 99%

Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau

Yang

Qiu

et al. 2023

JGR Earth Surface

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“…Multiple studies have confirmed that rainfall, irrigation, river erosion, and human activities easily cause loess-bedrock landslides [61,62]. Due to the characteristics of porosity and water permeability of loess, loess bedrock landslides are susceptible to rainfall.…”

Section: Causative Factors Of Yahuokou Landslidementioning

confidence: 99%

Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases

et al. 2022

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Identification and monitoring of unstable slopes across wide regions using Synthetic Aperture Radar Interferometry (InSAR) can further help to prevent and mitigate geological hazards. However, the low spatial density of measurement points (MPs) extracted using the traditional time-series InSAR method in topographically complex mountains and vegetation-covered slopes makes the final result unreliable. In this study, a method of time-series InSAR analysis using single- and multi-look phases were adopted to solve this problem, which exploited single- and multi-look phases to increase the number of MPs in the natural environment. Archived ascending and descending Sentinel-1 datasets covering Zhouqu County were processed. The results revealed that nine landslides could be quickly identified from the average phase rate maps using the Stacking method. Then, the time-series InSAR analysis with single- and multi-look phases could be used to effectively monitor the deformation of these landslides and to quantitatively analyze the magnitude and dynamic evolution of the deformation in various parts of the landslides. The reliability of the InSAR results was further verified by field investigations and Unmanned Aerial Vehicle (UAV) surveys. In addition, the precursory movements and causative factors of the recent Yahuokou landslide were analyzed in detail, and the application of the time-series InSAR method in landslide investigations was discussed and summarized. Therefore, this study has practical significance for early warning of landslides and risk mitigation.

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“…UAV remote sensing technology is fast, efficient, economical and convenient. It can produce 4D products with a high-precision digital elevation model (DEM), digital orthophoto map (DOM), digital linear graph (DLG) and digital raster graphic (DRG), and is one of the important means to obtain high-resolution terrain data [21][22][23][24]. The technology has broadened the horizons and perspectives of landslide research [21,[24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Topographic Changes, Surface Deformation and Movement Process before, during and after a Rotational Landslide

Qiu

Zhu

et al. 2023

Remote Sensing

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The deformation characteristics and instability patterns of rotational landslides are complicated. Such landslides are large and occur continuously, seriously threatening people’s lives. We used interferometry synthetic aperture radar (InSAR), digital elevation models of difference (DODs), numerical simulations, and other techniques for analyzing the topographic changes, surface deformation and movement process before, during and after a landslide. Based on the high-resolution terrain data before and after the landslide, the topographic changes were analyzed, and the active zone of the landslide was identified. The areas of the topographic changes were mainly located on the main scarp, toe and secondary landslides. The topographic changes were influenced by rainfall and rill erosion. The geomorphologically-guided InSAR interpretation method was applied to explore the displacement pattern. The deformation area in the middle of the landslide coincided with the secondary landslides. A time-series InSAR analysis revealed the dynamic evolution of the deformation before and after the landslide. Based on its evolution, the simulated landslide process included the main landslide and three secondary landslides. Based on the displacement of the longitudinal ground surface profiles, the displacement characteristics and kinematic behavior were summarized and compared with those of a single rotational landslide and multiple rotational landslides. The single rotational landslide had obvious secondary and progressive characteristics, developing into multiple rotational landslides triggered by conditions such as rainfall.

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Spatiotemporal distribution and evolution characteristics of successive landslides on the Heifangtai tableland of the Chinese Loess Plateau

Cited by 36 publications

References 58 publications

Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau

Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau

Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases

Topographic Changes, Surface Deformation and Movement Process before, during and after a Rotational Landslide

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