Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 4
Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1705-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-1705-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 4
Research article
 | 
14 Apr 2026
Research article |  | 14 Apr 2026

Quantifying fire effects on debris flow runout using a morphodynamic model and stochastic surrogates

Elaine T. Spiller, Luke A. McGuire, Palak Patel, Abani Patra, and E. Bruce Pitman

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 811 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
802 0 9 811 0 0
  • HTML: 802
  • PDF: 0
  • XML: 9
  • Total: 811
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 09 Apr 2025)
Cumulative views and downloads (calculated since 09 Apr 2025)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 811 (including HTML, PDF, and XML) Thereof 770 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Apr 2026
Download
Short summary
Fire in steep landscapes increases the potential for debris flows that can develop during intense rainstorms. To explore possible debris flow hazards, we utilize a computational model of the physical processes of debris flow initiation and runout. Such process-based models are computationally intensive and of limited use in rapid hazard assessments. Thus we build statistical surrogate of these physical models to examine how inundation footprints vary with rainfall intensity and time since fire.
Read more
Share
Altmetrics
Final-revised paper
Preprint