000161666 001__ 161666
000161666 005__ 20251017144605.0
000161666 0247_ $$2doi$$a10.1016/j.envsoft.2025.106511
000161666 0248_ $$2sideral$$a144324
000161666 037__ $$aART-2025-144324
000161666 041__ $$aeng
000161666 100__ $$0(orcid)0000-0002-3465-6898$$aNavas-Montilla, Adrián$$uUniversidad de Zaragoza
000161666 245__ $$aModeling wildfire dynamics through a physics-based approach incorporating fuel moisture and landscape heterogeneity
000161666 260__ $$c2025
000161666 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161666 5203_ $$aAnthropogenic climate change has increased the probability, severity, and duration of heat waves and droughts, subsequently escalating the risk of wildfires. Mathematical and computational models can enhance our understanding of wildfire propagation dynamics. In this work, we present a simplified Advection–Diffusion–Reaction (ADR) model that accounts for the effect of fuel moisture, and also considers wind, local radiation, natural convection and topography. The model explicitly represents fuel moisture effects by means of the apparent calorific capacity method, distinguishing between live and dead fuel moisture content. Using this model, we conduct exploratory simulations and present theoretical insights into various modeling decisions in the context of ADR-based models. We aim to shed light on the interplay between the different modeled mechanisms in wildfire propagation to identify key factors influencing fire spread and to estimate the model’s predictive capacity.
000161666 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2022-141051NA-I00$$9info:eu-repo/grantAgreement/ES/DGA/T32-23R
000161666 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000161666 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161666 700__ $$aReisch, Cordula
000161666 700__ $$aDiaz, Pablo$$uUniversidad de Zaragoza
000161666 700__ $$aÖzgen-Xian, Ilhan
000161666 7102_ $$12005$$2595$$aUniversidad de Zaragoza$$bDpto. Matemática Aplicada$$cÁrea Matemática Aplicada
000161666 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000161666 773__ $$g192 (2025), 106511 [25 pp.]$$pEnviron. model. softw.$$tENVIRONMENTAL MODELLING & SOFTWARE$$x1364-8152
000161666 8564_ $$s7223938$$uhttps://zaguan.unizar.es/record/161666/files/texto_completo.pdf$$yVersión publicada
000161666 8564_ $$s2762125$$uhttps://zaguan.unizar.es/record/161666/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161666 909CO $$ooai:zaguan.unizar.es:161666$$particulos$$pdriver
000161666 951__ $$a2025-10-17-14:15:08
000161666 980__ $$aARTICLE