Ongoing landslide deformation in thawing permafrost

Author(s):  
A. I. Patton ◽  
S. L. Rathburn ◽  
D. M. Capps ◽  
D. McGrath ◽  
R. A. Brown
Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1091
Author(s):  
Liulei Bao ◽  
Guangcheng Zhang ◽  
Xinli Hu ◽  
Shuangshuang Wu ◽  
Xiangdong Liu

The cumulative displacement-time curve is the most common and direct method used to predict the deformation trends of landslides and divide the deformation stages. A new method based on the inverse logistic function considering inverse distance weighting (IDW) is proposed to predict the displacement of landslides, and the quantitative standards of dividing the deformation stages and determining the critical sliding time are put forward. The proposed method is applied in some landslide cases according to the displacement monitoring data and shows that the new method is effective. Moreover, long-term displacement predictions are applied in two landslides. Finally, summarized with the application in other landslide cases, the value of displacement acceleration, 0.9 mm/day2, is suggested as the first early warning standard of sliding, and the fitting function of the acceleration rate with the volume or length of landslide can be considered the secondary critical threshold function of landslide failure.


2021 ◽  
Author(s):  
Andrew J Tanentzap ◽  
Katheryn Burd ◽  
McKenzie Kuhn ◽  
Cristian Estop‐Aragonés ◽  
Suzanne E. Tank ◽  
...  

2021 ◽  
Vol 13 (5) ◽  
pp. 2651
Author(s):  
Joan Nymand Larsen ◽  
Peter Schweitzer ◽  
Khaled Abass ◽  
Natalia Doloisio ◽  
Susanna Gartler ◽  
...  

Thawing permafrost creates risks to the environment, economy and culture in Arctic coastal communities. Identification of these risks and the inclusion of the societal context and the relevant stakeholder involvement is crucial in risk management and for future sustainability, yet the dual dimensions of risk and risk perception is often ignored in conceptual risk frameworks. In this paper we present a risk framework for Arctic coastal communities. Our framework builds on the notion of the dual dimensions of risk, as both physically and socially constructed, and it places risk perception and the coproduction of risk management with local stakeholders as central components into the model. Central to our framework is the importance of multidisciplinary collaboration. A conceptual model and processual framework with a description of successive steps is developed to facilitate the identification of risks of thawing permafrost in a collaboration between local communities and scientists. Our conceptual framework motivates coproduction of risk management with locals in the identification of these risks from permafrost thaw and the development of adaptation and mitigation strategies.


Pedobiologia ◽  
2012 ◽  
Vol 55 (2) ◽  
pp. 75-81 ◽  
Author(s):  
T.E. Smith ◽  
D.H. Wall ◽  
I.D. Hogg ◽  
B.J. Adams ◽  
U.N. Nielsen ◽  
...  

2021 ◽  
Vol 13 (23) ◽  
pp. 4841
Author(s):  
Yaru Zhu ◽  
Haijun Qiu ◽  
Zijing Liu ◽  
Jiading Wang ◽  
Dongdong Yang ◽  
...  

Information about the long-term spatiotemporal evolution of landslides can improve the understanding of landslides. However, since landslide deformation characteristics differ it is difficult to monitor the entire movement of a landslide using a single method. The Interferometric Synthetic Aperture Radar (InSAR) and pixel offset tracking (POT) method can complement each other when monitoring deformation at different landslide stages. Therefore, the InSAR and improved POT method were adapted to study the pre- and post-failure surface deformation characteristics of the Gaojiawan landslide to deepen understanding of the long-term spatiotemporal evolution characteristics of landslides. The results show that the deformation displacement gradient of the Gaojiawan landslide exhibited rapid movement that exceeded the measurable limit of InSAR during the first disaster. Moreover, the Gaojiawan landslide has experienced long-term creep, and while studying the post-second landslide’s failure stability, the acceleration trend was identified via time series analysis, which can be used as a precursor signal for landslide disaster warning. Our study aims to provide scientific reference for local governments to help prevent and mitigate geological disasters in this region.


2016 ◽  
Vol 8 (3) ◽  
pp. 179 ◽  
Author(s):  
Yanan Jiang ◽  
Mingsheng Liao ◽  
Zhiwei Zhou ◽  
Xuguo Shi ◽  
Lu Zhang ◽  
...  

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