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

Autor: Prescott, Alexander B., McGuire, Luke A., Jun, Kwang-Sung, Barnhart, Katherine R., Oakley, Nina S.
Předmět:
Zdroj: EGUsphere; 9/18/2023, p1-21, 21p
Abstrakt: Communities downstream from burned steeplands face increases in debris-flow hazards due to fire effects on soil and vegetation. Rapid postfire hazard assessments have traditionally focused on quantifying spatial variations in debris-flow likelihood and volume in response to design rainstorms. However, a methodology that provides estimates of debris-flow inundation downstream from burned areas based on forecast rainfall would provide decision-makers with information that directly addresses the potential for downstream impacts. We introduce a framework that integrates a 24-hour lead-time ensemble precipitation forecast with debris-flow likelihood, volume, and runout models to produce probabilistic maps of debris-flow inundation. We applied this framework to simulate debris-flow inundation associated with the 9 January 2018 debris-flow event in Montecito, California, USA. Sensitivity analyses indicate that reducing uncertainty in postfire debris-flow volume prediction will have the largest impact on reducing inundation outcome uncertainty. The study results are an initial step toward an operational hazard assessment product that includes debris-flow inundation. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index