Kinematic behaviour of a large earthflow defined by surface displacement monitoring, DEM differencing, and ERT imaging

Prokešová, Roberta; Kardoš, Miroslav; Tábořík, Petr; Medveďová, Alžbeta; Stacke, Václav; Chudý, František

doi:10.1016/j.geomorph.2014.06.029

Cited by 30 publications

(15 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the Slumgullion landslide, Coe et al (2003) observed a factor 2 in the cumulative displacement between different years. Higher factors of 6 and 10 were found in the Lubietova earthslide in Slovakia (Prokešová et al, 2014) and in the La Valette earthslide in Figure 13. Landslide mean yearly velocity as a function of the cumulative yearly rainfall.…”

Section: Rainfall Triggeringmentioning

confidence: 87%

“…In the Slumgullion landslide, Coe et al () observed a factor 2 in the cumulative displacement between different years. Higher factors of 6 and 10 were found in the Lubietova earthslide in Slovakia (Prokešová et al , ) and in the La Valette earthslide in France (Squarzoni et al , ), respectively. All these landslides are located in the Northern hemisphere under a temperate climate, whereas the Colca valley experiences a semi‐arid climate with most of the mean annual precipitation (320 mm to 780 mm during the studied period) that falls during the summer (end of December–end of April).…”

Section: Interpretation and Discussionmentioning

confidence: 98%

See 1 more Smart Citation

Morphology, structure and kinematics of a rainfall controlled slow‐moving Andean landslide, Peru

Zérathe

Lacroix

Jongmans

et al. 2016

Earth Surf Processes Landf

View full text Add to dashboard Cite

The large slow‐moving landslide of Maca is located in the upper Colca valley (southern Peru), a region characterized by a well pronounced rainy period, and intense and recurrent sustained seismicity. The landslide, developed in deep lacustrine deposits, has recently accelerated, threatening the Maca village. This work aims at understanding the rupture mechanism and the causes of the recent landslide reactivation/acceleration. We present a multidisciplinary characterization of the Maca landslide that includes: (i) geological and morphological mapping in the field; (ii) remote sensing analysis using an historical aerial photograph of 1955 and the Pléiades satellite images (2013); (iii) global positioning system (GPS) including time‐series of surveys over 13 years, and continuous measurements over 14 months; (iv) a geophysical campaign with deep electrical resistivity tomography profiles acquired across the landslide mass. Our study shows that this 60 Mm3 landslide, which can be classified as a clay/silt compound landslide, moved by 15 m between 2001 and 2014 with a large inter‐annual velocity variation (up to a factor of 500) depending on the rainfall intensity. We suggest that these dramatic changes in velocity are the result of the combination of a threshold mechanism and the short intense rainy season in Peru. This study reveals three main driving factors acting at different timescales: (i) over several decades, the river course has significantly changed, causing the Maca landslide reactivation in the 1980s due to the erosion of its toe; (ii) at the year scale, a minimum amount of rainfall is required to trigger the motion and this amount controls the landslide velocity; (iii) transient changes in slide velocity may occur anytime due to earthquakes. This study particularly highlights the non‐linear behaviour of the motion with rainfall. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

Section: Rainfall Triggeringmentioning

confidence: 87%

Section: Interpretation and Discussionmentioning

confidence: 98%

Morphology, structure and kinematics of a rainfall controlled slow‐moving Andean landslide, Peru

Zérathe

Lacroix

Jongmans

et al. 2016

Earth Surf Processes Landf

View full text Add to dashboard Cite

show abstract

“…Typical representatives of three different types of landslides were selected ( Figure 1A). The Mazák landslide represents a translational landslide [37,45]; the Lipová stráň landslide represents a rotational landslide [46]; and the L'ubietová landslide represents a flow-like landslide [47,48].…”

Section: Study Areamentioning

confidence: 99%

Tree Ring-Based Estimation of Landslide Areal Reactivation as a Fundament of Magnitude–Frequency Assessment

Šilhán

2020

Forests

View full text Add to dashboard Cite

Magnitude–frequency (M–F) relationships represent important information on slope deformation and are used in hazard assessment or as supporting data for urban planning. Various approaches have been used to extract such relationships in the past, but most of these methods drove at the problem of exact events´ frequency determination. Dendrogeomorphic (tree ring-based) approaches are actually thought to be the most precise method of dating past mass movement events that occurred within the last several centuries. Together with information on the spatial positions of the analysed trees, they represent a potentially very valuable tool for reconstructing M–F relationships, although their use for this purpose has been very rare in the past. In this study, M–F relationships are reconstructed using dendrogeomorphic methods for three landslides of different types (a translational slide, a flow-like slide, and a rotational slide) occurring in different geological materials (thick-bedded flysch, limestone marls, and volcanic breccia). In total, 572 disturbed trees were analysed, and chronologies of mass movement events were built. Landslide magnitudes were expressed in three ways: (i) the value of the standard It index; (ii) the area, as determined using homogenous morphological units; and (iii) the area, as determined using tree buffers. The power-law nature of M–F relationships was confirmed for all the landslides that were studied and using all the approaches that were applied. All of the combinations of results yielded high correlation values; nevertheless, differences were noted. The advantages and limitations of each approach used to reconstruct M–F relationships are also discussed.

show abstract

“…We acknowledge that the dilution of 10 Be concentrations in river sediment due to stochastic inputs from landslides might lead to an overestimation of CRN-derived denudation rates (Niemi et al, 2005;Yanites et al, 2009). Therefore, CRN-derived denudation rates and subsequent sediment fluxes presented hereunder will be taken as first-order or maximum estimates of the actual values (Puchol et al, 2014). Third, given that sediment production and delivery to the river network is typically stochastic in Alpine environments, the 10 Be concentrations in river sediment might be highly variable in space and time as shown by Dingle et al (2018) and West et al (2014).…”

Section: Sediment Fluxes At the Millennial Scalementioning

confidence: 99%

Spatio-temporal dynamics of sediment transfer systems in landslide-prone Alpine catchments

et al. 2019

View full text Add to dashboard Cite

Abstract. Tectonic and geomorphic processes drive landscape evolution over different spatial and temporal scales. In mountainous environments, river incision sets the pace of landscape evolution, and hillslopes respond to channel incision by, e.g., gully retreat, bank erosion, and landslides. Sediment produced during stochastic landslide events leads to mobilization of soil and regolith on the slopes that can later be transported by gravity and water to the river network during phases of hillslope–channel geomorphic coupling. The mechanisms and scales of sediment connectivity mitigate the propagation of sediment pulses throughout the landscape and eventually drive the contribution of landslides to the overall sediment budget of mountainous catchments. However, to constrain the timing of the sediment cascade, the inherent stochastic nature of sediment and transport through landsliding requires an integrated approach accounting for different space scales and timescales. In this paper, we examine the sediment production on hillslopes and evacuation to the river network of one landslide, i.e. the Schimbrig earthflow, affecting the Entle River catchment located in the foothills of the Central Swiss Alps. We quantified sediment fluxes over annual, decadal, and millennial timescales using respectively unmanned aerial vehicle (UAV)–structure-from-motion (SfM) techniques, classic photogrammetry, and in situ produced cosmogenic radionuclides. At the decadal scale, sediment fluxes quantified for the period 1962–1998 are highly variable and are not directly linked to the intensity of sediment redistribution on the hillslope. At the millennial scale, landslide occurrence perturbs the regional positive linear relationship between sediment fluxes and downstream distance as the landslide-affected Schimbrig catchment is characterized by a decrease in sediment fluxes and a strong variability. Importantly, the average decadal sediment flux of the Schimbrig catchment is 2 orders of magnitude higher than millennial sediment fluxes computed over the same spatial extent. The discrepancy between decadal and millennial sediment fluxes, combined to the highly variable annual sediment evacuation from the hillslopes to the channel network suggest that phases of hillslope–channel geomorphic coupling are short and intermittent. During most of the time, the first-order catchments are transport-limited and sediment dynamics in the headwaters are uncoupled from the fluvial systems. In addition, our unique spatio-temporal database of sediment fluxes highlights the transient character of the intense geomorphic activity of the Schimbrig catchment in a regional context. Its decadal sediment flux is of the same order of magnitude as the background sediment flux going out of the entire Entle River catchment. Over the last 50 years, the Schimbrig catchment, which represents ca. 1 % of the entire study area, provides 65 % of the sediments that the entire Entle catchment will supply over the millennial scale. These results suggest that episodic supply of sediment from landslides during intermittent phases of hillslope–channel geomorphic coupling are averaged out when considering sediment fluxes at longer timescales and larger spatial scales.

show abstract

Kinematic behaviour of a large earthflow defined by surface displacement monitoring, DEM differencing, and ERT imaging

Cited by 30 publications

References 55 publications

Morphology, structure and kinematics of a rainfall controlled slow‐moving Andean landslide, Peru

Morphology, structure and kinematics of a rainfall controlled slow‐moving Andean landslide, Peru

Tree Ring-Based Estimation of Landslide Areal Reactivation as a Fundament of Magnitude–Frequency Assessment

Spatio-temporal dynamics of sediment transfer systems in landslide-prone Alpine catchments

Contact Info

Product

Resources

About