Publications by Christophe Ancey

Temporal Prediction of Landslide-Generated Waves Using a Theoretical-Statistical Combined Method

Christophe Ancey, Zhenzhu Meng, Yating Hu

For the prediction of landslide-generated waves, previous studies have developed numerous empirical equations to express the maximums of wave characteristics as functions of slide parameters upon impact. In this study, we built the temporal relationship be ...

MDPI2023

Bed Topography Inference from Velocity Field Using Deep Learning.

Christophe Ancey, Mehrdad Kiani Oshtorjani

Measuring bathymetry has always been a major scientific and technological challenge. In this work, we used a deep learning technique for inferring bathymetry from the depth-averaged velocity field. The training of the neural network is based on 5742 labora ...

2023

Temporal Prediction of Landslide-GeneratedWaves Using a Theoretical–Statistical Combined Method.

Christophe Ancey, Zhenzhu Meng, Yating Hu

For the prediction of landslide-generated waves, previous studies have developed numerous empirical equations to express the maximums of wave characteristics as functions of slide parameters upon impact. In this study, we built the temporal relationship be ...

2023

Scaling behavior of bedload transport: what if Bagnold was right?

Christophe Ancey

There is a paradox in the relationship between bedload transport rates and flow variables: laboratory and field studies have reported on how bedload transport rates depend on flow variables through a power law, but none of the empirical laws fitted to the ...

2023

Bifurcations in mountain rivers: insights on their hydraulics from field measurements.

Christophe Ancey, Ivan Pascal, Bob de Graffenried, Raphaël Miazza

Although the importance of studying channel bifurcations is widely recognised, their hydraulic behaviour in shallow, rough mountain rivers has so far received little attention from researchers. Understanding the specific hydraulics of such units is essenti ...

2023

Sediment and large wood supply in proglacial streams: insights from the Upper Navisence catchment monitoring.

Christophe Ancey, Ivan Pascal, Bob de Graffenried

Preliminary analyses of data collected during 2023 and analyses of archived data provided new insights into the sources of wood and sediment in this river corridor. These analyses have highlighted the primary supply processes accountable for these material ...

2023

Physics-based estimates of drag coefficients for the impact pressure calculation of dense snow avalanches.

Christophe Ancey, Johan Alexandre Philippe Gaume, Michael Lukas Kyburz

In avalanche engineering and hazard mapping, computing impact pressures exerted by avalanches on rigid structures has long been a difficult task that requires combining empirical equations, rules of thumb, engineering judgment and experience. Until the 199 ...

2022

Do Antidune Trains Undergo Morphological Changes When These Bedforms Migrate Upstream?

Christophe Ancey, Ivan Pascal

Upstream migrating antidunes develop in streams under supercritical flow conditions. These bedforms are often organised in trains (i.e. sequences of well-developed antidunes). In shallow flows over coarse sediments, the dynamics of a single antidune can be ...

IAHR International Association for Hydro-Environment Engineering and Research2022

The variability of antidune morphodynamics on steep slopes

Christophe Ancey, Ivan Pascal

Steep streams on rough beds are generally characterised by supercritical flow conditions under which antidunes can develop and migrate over time. In this paper, we present flume experiments that we conducted to investigate the variability of antidune geome ...

2021

The concept of the mobilized domain: how it can explain and predict the forces exerted by a cohesive granular avalanche on an obstacle.

Christophe Ancey, Johan Alexandre Philippe Gaume, Betty Sovilla, Michael Lukas Kyburz

The calculation of the impact pressure on obstacles in granular flows is a fundamental issue of practical relevance, e.g. for snow avalanches impacting obstacles. Previous research shows that the load on the obstacle builds up, due to the formation of forc ...

2021

Christophe Ancey

Temporal Prediction of Landslide-Generated Waves Using a Theoretical-Statistical Combined Method

Bed Topography Inference from Velocity Field Using Deep Learning.

Temporal Prediction of Landslide-GeneratedWaves Using a Theoretical–Statistical Combined Method.

Scaling behavior of bedload transport: what if Bagnold was right?

Bifurcations in mountain rivers: insights on their hydraulics from field measurements.

Sediment and large wood supply in proglacial streams: insights from the Upper Navisence catchment monitoring.

Physics-based estimates of drag coefficients for the impact pressure calculation of dense snow avalanches.

Do Antidune Trains Undergo Morphological Changes When These Bedforms Migrate Upstream?

The variability of antidune morphodynamics on steep slopes

The concept of the mobilized domain: how it can explain and predict the forces exerted by a cohesive granular avalanche on an obstacle.

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Bed Topography Inference from Velocity Field Using Deep Learning.

Physics-based estimates of drag coefficients for the impact pressure calculation of dense snow avalanches.

Bifurcations in mountain rivers: insights on their hydraulics from field measurements.

The concept of the mobilized domain: how it can explain and predict the forces exerted by a cohesive granular avalanche on an obstacle.

Temporal Prediction of Landslide-Generated Waves Using a Theoretical-Statistical Combined Method

The variability of antidune morphodynamics on steep slopes

Temporal Prediction of Landslide-GeneratedWaves Using a Theoretical–Statistical Combined Method.

Sediment and large wood supply in proglacial streams: insights from the Upper Navisence catchment monitoring.

Scaling behavior of bedload transport: what if Bagnold was right?

Do Antidune Trains Undergo Morphological Changes When These Bedforms Migrate Upstream?