Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA

International Journal of Wildland Fire
By: , and 

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Abstract

Background: Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management.

Aim: The aim of this study was to predict burn severity using pre-fire conditions of individual wildfire events and estimate potential post-fire debris flow to unburned areas.

Methods: We used random forests to model dNBR from pre-fire weather, fuels, topography, and remotely sensed data. We validated our model predictions against post-fire observations and potential post-fire debris-flow hazard estimates.

Key results: Fuels, pre-fire weather, and topography were important predictors of burn severity, although predictor importance varied between fires. Post-fire debris-flow hazard rankings from predicted burn severity (pre-fire) were similar to hazard assessments based on observed burn severity (post-fire).

Conclusion: Predicted burn severity can serve as an input to post-fire debris-flow models before wildfires occur, antecedent to standard post-fire burn severity products. Assessing a larger set of fires under disparate conditions and landscapes will be needed to refine predictive models.

Implications: Burn severity models based on pre-fire conditions enable the prediction of fire effects and identification of potential hazards to prioritise response and mitigation.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA
Series title International Journal of Wildland Fire
DOI 10.1071/WF22200
Volume 32
Issue 9
Year Published 2023
Language English
Publisher CSIRO Publishing
Contributing office(s) Alaska Science Center, Geologic Hazards Science Center, Geosciences and Environmental Change Science Center, Office of the AD Ecosystems, Southwest Biological Science Center
Description 17 p.
First page 1315
Last page 1331
Country United States
State Arizona, Colorado, New Mexico, Utah, Wyoming
Other Geospatial Colorado River Basin
Google Analytic Metrics Metrics page
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