Evaluating crown scorch predictions from a computational fluid dynamics wildland fire simulator

Journal Article · 12 August 2024 · Fire Ecology (Online)

DOI: https://doi.org/10.1186/s42408-024-00291-x · OSTI ID:2429051

Atchley, Adam L. ; Hoffman, Chad M.; Bonner, Sophie R.; Ritter, Scott M.; O’Brien, Joseph; Linn, Rodman R.

Abstract Background Crown scorch—the heating of live leaves, needles, and buds in the vegetative canopy to lethal temperatures without widespread combustion—is one of the most common fire effects shaping post-fire canopies. Despite the ability of computational fluid dynamic models to finely resolve fire activity and buoyant plume dynamics including heterogenous 3D distributions of forest canopy heating, these models have had only limited use in simulating fire effects and have not been used to evaluate crown scorch. Here, we demonstrate a method of evaluating crown scorch using a computational fluid dynamics model, FIRETEC, and validate this approach by simulating the experiments that were used to develop Van Wagner’s 1973 crown scorch model. Results The average scorch height prediction from FIRETEC compares well with the empirical model derived by Van Wagner, which is the most widely used empirical model for crown scorch. We further find that the 3D buoyant plume dynamics from a steady and homogeneous idealized heat source on the ground results in a spatially heterogenous crown scorch pattern reflecting complex heating dynamics that are best represented by percent scorch rather than height of scorch. Conclusions The ability of the computational fluid dynamics model to capture variation in crown scorch due to 3D buoyant plume dynamics provides direct links between forest structure, fire behavior, and fire effects that can be used by forest managers and researchers to better understand how fires result in crown damage under various environmental and management scenarios.

• Sponsoring Organization: USDOE
• OSTI ID: 2429051
• Journal Information: Fire Ecology (Online), Journal Name: Fire Ecology (Online) Journal Issue: 1 Vol. 20; ISSN 1933-9747
• Publisher: Springer Science + Business MediaCopyright Statement
• Country of Publication: United States
• Language: English