Preprints
https://doi.org/10.5194/esurf-2022-47
https://doi.org/10.5194/esurf-2022-47
 
25 Aug 2022
25 Aug 2022
Status: this preprint is currently under review for the journal ESurf.

Steady-state forms of channel profiles shaped by debris-flow and fluvial processes

Luke A. McGuire1, Scott W. McCoy2, Odin Marc3, William Struble1, and Katherine R. Barnhart4 Luke A. McGuire et al.
  • 1The University of Arizona, Department of Geosciences, Gould-Simpson Building, 1040 East Fourth Street, Tucson, Arizona 85721, USA
  • 2Department of Geological Sciences and Engineering, University of Nevada, Reno, Reno, NV, 89557, USA
  • 3Géosciences Environnement Toulouse (GET), UMR 5563, CNRS/IRD/CNES/UPS, Observatoire Midi-Pyrénées, Toulouse, France
  • 4U.S. Geological Survey, P.O. Box 25046, MS 966, Denver, Colorado 80225, USA

Abstract. Debris flows regularly traverse bedrock channels that dissect steep landscapes, but our understanding of the dominant controls that set rates and spatial patterns of landscape evolution by debris flows is still rudimentary. As a result, much of our understanding of steep bedrock channel networks is derived from application of geomorphic transport laws designed to represent erosion by water-dominated flows. To quantify the link between debris-flow mechanics and steep channel network form, establishment of a geomorphic transport law that quantifies bedrock erosion by debris flows and development of methods capable of handling the transient, non-local behavior of debris flows throughout the steep channel network are needed. Here, we propose a landscape evolution model to simulate longitudinal channel profiles that evolve in response to both debris-flow and fluvial processes. The model framework, which includes a methodology to explicitly track spatial variations in bulk debris-flow properties (e.g. flow depth, velocity) along the length of the channel profile, is designed to allow for the exploration of a range of potential debris-flow incision laws. We propose a relationship in which the debris-flow erosion rate is a function of debris-flow depth and channel slope. By comparing the morphology of modeled channel profiles to that typically seen in natural channels, we place constraints on a debris-flow incision law with this general form. Modeled channel profiles are consistent with observations of channel morphology in debris-flow-dominated terrain when the debris-flow incision rate is related to local channel slope raised to a power greater than one and approximately linearly related to debris-flow depth. Model results indicate that erosion by debris flows can explain the occurrence of a scaling break in the slope-area curve at low drainage areas and that upper-network channel morphology may be useful for inferring catchment-averaged erosion rates in quasi-steady landscapes. These results improve our ability to interpret topographic signals within steep channel networks and provide a general framework for exploring the role of debris-flow erosion within landscape evolution models.

Luke A. McGuire et al.

Status: open (until 06 Oct 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Luke A. McGuire et al.

Luke A. McGuire et al.

Viewed

Total article views: 409 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
295 109 5 409 3 2
  • HTML: 295
  • PDF: 109
  • XML: 5
  • Total: 409
  • BibTeX: 3
  • EndNote: 2
Views and downloads (calculated since 25 Aug 2022)
Cumulative views and downloads (calculated since 25 Aug 2022)

Viewed (geographical distribution)

Total article views: 374 (including HTML, PDF, and XML) Thereof 374 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Discussed

Latest update: 05 Oct 2022
Download
Short summary
Debris flows are mixtures of mud and rocks that can travel at high speeds across steep landscapes. Here, we propose a new model to describe how landscapes are shaped by debris flow erosion over long timescales. Model results demonstrate that the shapes of channel profiles are sensitive to uplift rate, meaning that it may be possible use topographic data from steep channel networks to infer how erosion rates vary in space across a landscape.