2022 CSDMS meeting-069: Difference between revisions
From CSDMS
(Created page with "{{CSDMS meeting personal information template-2022 |CSDMS meeting first name=Alexander |CSDMS meeting last name=Gorr |CSDMS meeting institute=University of Arizona |CSDMS meet...") |
No edit summary |
||
| Line 35: | Line 35: | ||
}} | }} | ||
{{CSDMS meeting abstract template 2022 | {{CSDMS meeting abstract template 2022 | ||
|CSDMS meeting abstract=Debris flows pose a | |CSDMS meeting abstract=Debris flows pose a significant threat to downstream communities in mountainous regions across the world, and there is a continued need for methods to delineate hazard zones associated with debris-flow inundation. Here we present ProDF, a reduced-complexity debris-flow inundation model for rapid hazard assessment. We calibrated and tested ProDF against observed debris-flow inundation at eight study sites across the western United States. While the debris flows at these sites varied in initiation mechanism, volume, and flow characteristics, results show that ProDF is capable of accurately reproducing observed inundation extent across different geographic settings. ProDF reproduced observed inundation while maintaining computational efficiency, suggesting the model may be especially applicable in rapid hazard assessment scenarios. | ||
}} | }} | ||
{{blank line template}} | {{blank line template}} | ||
Latest revision as of 22:10, 14 April 2022
(if you haven't already)
Log in (or create account for non-CSDMS members)
Forgot username? Search or email:CSDMSweb@colorado.edu
Browse abstracts
ProDF: A reduced-complexity model for debris-flow inundation
Alexander Gorr,
University of Arizona Tucson Arizona, United States. agorr@email.arizona.edu
Luke McGuire, University of Arizona Tucson Arizona, United States. lmcguire@arizona.edu
Debris flows pose a significant threat to downstream communities in mountainous regions across the world, and there is a continued need for methods to delineate hazard zones associated with debris-flow inundation. Here we present ProDF, a reduced-complexity debris-flow inundation model for rapid hazard assessment. We calibrated and tested ProDF against observed debris-flow inundation at eight study sites across the western United States. While the debris flows at these sites varied in initiation mechanism, volume, and flow characteristics, results show that ProDF is capable of accurately reproducing observed inundation extent across different geographic settings. ProDF reproduced observed inundation while maintaining computational efficiency, suggesting the model may be especially applicable in rapid hazard assessment scenarios.
