Articles | Volume 24, issue 6
https://doi.org/10.5194/nhess-24-2093-2024
https://doi.org/10.5194/nhess-24-2093-2024
Research article
 | 
28 Jun 2024
Research article |  | 28 Jun 2024

Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA

Francis K. Rengers, Samuel Bower, Andrew Knapp, Jason W. Kean, Danielle W. vonLembke, Matthew A. Thomas, Jaime Kostelnik, Katherine R. Barnhart, Matthew Bethel, Joseph E. Gartner, Madeline Hille, Dennis M. Staley, Justin K. Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy

Viewed

Total article views: 4,088 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,068 909 111 4,088 97 124 149
  • HTML: 3,068
  • PDF: 909
  • XML: 111
  • Total: 4,088
  • Supplement: 97
  • BibTeX: 124
  • EndNote: 149
Views and downloads (calculated since 19 Sep 2023)
Cumulative views and downloads (calculated since 19 Sep 2023)

Viewed (geographical distribution)

Total article views: 4,088 (including HTML, PDF, and XML) Thereof 3,982 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Mar 2026
Download
Short summary
Every year the U.S. Geological Survey produces 50–100 postfire debris-flow hazard assessments using models for debris-flow likelihood and volume. To refine these models they must be tested with datasets that clearly document rainfall, debris-flow response, and debris-flow volume. These datasets are difficult to obtain, but this study developed and analyzed a postfire dataset with more than 100 postfire storm responses over a 2-year period. We also proposed ways to improve these models.
Share
Altmetrics
Final-revised paper
Preprint