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@article{161285,
        author = {A. Kanni Raj and Yara Sultan},
        title = {Wildfire Models – Concise Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {3},
        pages = {161-166},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161285},
        abstract = {Theoretical fire model is aimed at speed of computation while approximating the key physics through only a few terrain - related inputs and tunable parameters representing fire intensity, hot gas and ember decay timescales, ignition delay due to relative humidity and local turbulence due to wind. These parameters were calibrated against controlled fire data and the model was then used to give reasonable predictions for fires of increasing complexity. The presented framework of models, both empirical and physical, allows improvements for more accurate representation of the flammable material characteristics, fire-induced flow modifications, and most other phenomena present in fires, hence providing an extendable and simple yet physically-realistic novel modeling approach.},
        keywords = {Forest Fire, FWI, FDI, Fire Vulnerability, Empirical Model, Physical Model, ROS},
        month = {},
        }