Usoi landslide dam in Tajikistan – the world’s highest dam. First stability assessment of the rock slopes at Lake Sarez

Hanisch, J.

doi:10.1201/9780203749197-20

Cited by 4 publications

(2 citation statements)

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“…The hazard assessment includes (1) modelling of the flooding upriver of the dam (Clerici and Perego, 2000), (2) dam stability assessment that may include a breach development assessment (e.g. Glicken et al, 1989;Manville, 2001;Meyer et al, 1985), (3) assessment of a potential outburst flood, and (4) occasionally, stability assessment of the slopes surrounding the formed lake (Awal et al, 2007;Awal, 2008;Awal et al, 2008a, b;Awal et al, 2009Awal et al, , 2011Chen et al, 2015b;Hanisch et al, 2002;Regmi et al, 2010Regmi et al, , 2013Wang et al, 2016b). The last becomes important as displacement waves impacting into landslidedammed lake might trigger displacement waves that overtop and erode the landslide dam catastrophically (Glancy and Bell, 2000;Hermanns et al, 2004;Penna et al, 2008).…”

Section: Assessment and Monitoring (Numerical Modeling Geophysics Geotechnical Properties)mentioning

confidence: 99%

Recent technological and methodological advances for the investigation of landslide dams

Fan

Dufresne

Whiteley

et al. 2021

Earth-Science Reviews

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Section: Assessment and Monitoring (Numerical Modeling Geophysics Geotechnical Properties)mentioning

confidence: 99%

Recent technological and methodological advances for the investigation of landslide dams

Fan

Dufresne

Whiteley

et al. 2021

Earth-Science Reviews

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“…Numerous examples of earthquake-induced landslides [34][35][36], rainfall-induced ones [37][38][39], and a combination of both effects exist [40]. This has even produced the highest landslide dam in the world [41] after a coseismic failure.…”

Section: Tajikistan and Its Reference Landslide Inventorymentioning

confidence: 99%

When Enough Is Really Enough? On the Minimum Number of Landslides to Build Reliable Susceptibility Models

et al. 2021

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Mapping existing landslides is a fundamental prerequisite to build any reliable susceptibility model. From a series of landslide presence/absence conditions and associated landscape characteristics, a binary classifier learns how to distinguish potentially stable and unstable slopes. In data rich areas where landslide inventories are available, addressing the collection of these can already be a challenging task. However, in data scarce contexts, where geoscientists do not get access to pre-existing inventories, the only solution is to map landslides from scratch. This operation can be extremely time-consuming if manually performed or prone to type I errors if done automatically. This is even more exacerbated if done over large geographic regions. In this manuscript we examine the issue of mapping requirements for west Tajikistan where no complete landslide inventory is available. The key question is: How many landslides should be required to develop reliable landslide susceptibility models based on statistical modeling? In fact, for such a wide and extremely complex territory, the collection of an inventory that is sufficiently detailed requires a large investment in time and human resources. However, at which point of the mapping procedure, would the resulting susceptibility model produce significantly better results as compared to a model built with less information? We addressed this question by implementing a binomial Generalized Additive Model trained and validated with different landslide proportions and measured the induced variability in the resulting susceptibility model. The results of this study are very site-specific but we proposed a very functional protocol to investigate a problem which is underestimated in the literature.

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Impacts of Landslide Dams on Mountain Valley Morphology

Schuster

NATO Science Series

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Usoi landslide dam in Tajikistan – the world’s highest dam. First stability assessment of the rock slopes at Lake Sarez

Cited by 4 publications

References 0 publications

Recent technological and methodological advances for the investigation of landslide dams

Recent technological and methodological advances for the investigation of landslide dams

When Enough Is Really Enough? On the Minimum Number of Landslides to Build Reliable Susceptibility Models

Impacts of Landslide Dams on Mountain Valley Morphology

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