Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2359-2024
https://doi.org/10.5194/nhess-24-2359-2024
Research article
 | 
15 Jul 2024
Research article |  | 15 Jul 2024

Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall

Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley

Viewed

Total article views: 1,042 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
728 251 63 1,042 79 35 41
  • HTML: 728
  • PDF: 251
  • XML: 63
  • Total: 1,042
  • Supplement: 79
  • BibTeX: 35
  • EndNote: 41
Views and downloads (calculated since 18 Sep 2023)
Cumulative views and downloads (calculated since 18 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,042 (including HTML, PDF, and XML) Thereof 1,008 with geography defined and 34 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Fire can dramatically increase the risk of debris flows to downstream communities with little warning, but hazard assessments have not traditionally included estimates of inundation. We unify models developed by the scientific community to create probabilistic estimates of inundation area in response to rainfall at forecast lead times (≥ 24 h) needed for decision-making. This work takes an initial step toward a near-real-time postfire debris-flow inundation hazard assessment product.
Altmetrics
Final-revised paper
Preprint