2022 CSDMS meeting-069


(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.