About me

I am a postdoctoral researcher at the Géosciences Rennes (Université de Rennes). I am a geomorphologist working on numerical analysis of landscapes in order to understand the relationship between landforms, surface processes and the different climatic and tectonic forcings controlling them.

alt text Statistical representation of channel steepness, long story short, brighter colours can be linked to either higher erosion (and surface uplift) or higher rock strength. See Gailleton et al., 2021.

Focusing mainly on fluvial geomorphology, I developed and applied numerical methods (within the LSDTopoTools framework) to extract fluvial network and its characteristics and link them to tectonic forcing in heterogeneous landscapes (e.g. Himalayas, Carpathians). I am also interested in simulating the evolution of such landscapes where multiple processes coexist and I developed a number of numerical method designed to embrace these heterogeneities. CHONK (Gailleton et al., 2024) for example is designed to simulate and monitor the evolution of water and sediment fluxes affected by multiple processes (e.g. different rock types, erosion laws) and traversing different domains (e.g. lake, multiple flow, single flow).

alt text Detailed tracking of the provenance of sediments coming the granitoids, including recycled

My PhD at the University of Edinburgh and my first postdoc at the GFZ Potsdam targetted long-term processes ($>10^5 yrs$) at every scales (reach to mountain ranges). I am now working on bridging the gap between these long term change in forcings (e.g. change of surface uplift, base level fall following global temperature cooling) and short-term more extreme events (e.g. series of landslides following an earthquake, high flood) often overlooked. From the fluvial point of view, it starts with the development of graphflood to depart from the representation of river as 1D flow path tightly toward a more realistic representation including fields of discharge and flow depth. The challenges lie in numerical efficiency, as existing models (e.g. Delft 3D, Telemac, Floodos, Lisflood) are too complex to target and project the impact of short-term processes into large time and spatial scales.

alt text Example of Graphflood output.

Feel free to contact me: boris.gailleton@univ-rennes.fr