Articles | Volume 13, issue 4
https://doi.org/10.5194/esurf-13-593-2025
https://doi.org/10.5194/esurf-13-593-2025
Research article
 | 
22 Jul 2025
Research article |  | 22 Jul 2025

Modeling memory in gravel-bed rivers: a flow-history-dependent relation for evolving thresholds of motion

Claire C. Masteller, Joel P. L. Johnson, Dieter Rickenmann, and Jens M. Turowski

Viewed

Total article views: 1,110 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
975 108 27 1,110 58 49 62
  • HTML: 975
  • PDF: 108
  • XML: 27
  • Total: 1,110
  • Supplement: 58
  • BibTeX: 49
  • EndNote: 62
Views and downloads (calculated since 10 Dec 2024)
Cumulative views and downloads (calculated since 10 Dec 2024)

Viewed (geographical distribution)

Total article views: 1,110 (including HTML, PDF, and XML) Thereof 1,097 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Sep 2025
Download
Short summary
This paper presents a novel model that predicts how gravel riverbeds may evolve in response to differences in the frequency and severity of flood events. We test our model using a 23-year-long record of river flow and gravel transport from the Swiss Prealps. We find that our model reliably captures yearly patterns in gravel transport in this setting. Our new model is a major advance towards better predictions of river erosion that account for the flood history of a gravel-bed river.
Share