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Mathematical modeling and predicting wildland fire effects

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Combustion, Explosion and Shock Waves Aims and scope

Abstract

A qualitative assessment is made of the role of mathematical modeling in predicting the effects of wildland fires. Specific roles for mathematical models of physical processes involved in causing fire effects are identified in creating decision aids for helping managers make better decisions in planning fire use and in strategic planning of wildfire suppression. More direct roles are seen in helping to strengthen our knowledge base about fire effects through more efficient use of research resources. In assessing the potential utility of mathematical models in these roles, a novel taxonomy of wildland fire effects is introduced, based on longevity of the effect, time delay between fire and emergence of effect, and distance between fire and effect. Physical processes are identified as candidates for mathematical modeling, as factors complicating the realization or use of the models. Candidate modeling topics are identified as

  1. (1)

    Heat transfer in and near the fire environment,

  2. (2)

    Combustion processes and products,

  3. (3)

    Heat and mass transport in porous media,

  4. (4)

    Chemical and physical responses of fire-heated soils,

  5. (5)

    Erosion and hydrology of fire-affected sites,

  6. (6)

    Fluid mechanics of wind and fires,

  7. (7)

    Transport, dispersion, and aging of fire emissions in the atmosphere, and

  8. (8)

    Global atmospheric effects.

Then, using the fire-effects taxonomy described, qualitative practical limits on the predictability of processes involved in them are deduced by considering contributing complicating factors that are identified as not likely to be modeled reliably. By so doing, the list of candidate topics for mathematical modeling is refined and reduced to the following recommended set. Heat transfer to, and thermal response of, live vegetation parts within and near the fire environment. Heat transfer to soil under burning duff. Heat transfer to soil exposed to fire environment without duff cover. Heat and mass transfer in fire-heated porous media. Physical, chemical, and hydrological responses of soils to high-temperature environments. Fluid mechanics of wind fields interacting with fire and vegetation cover.

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References

  1. G. Wayne Minshall, J. T. Brock, and J. D. Varley, “Wildfires and Yellowstone's steam ecosystems,”Bioscience,39, No. 10. 707–715 (1989.).

    Google Scholar 

  2. D. F. Potts, D. L. Peterson, and H. R. Zuuring, “Watershed modeling for fire management planning in the Northern Rocky Mountains,” USDA Forest Service Res. Pap. PSW-177 (1985).

  3. K. C. Ryan and E. D. Reinhardt, Predicting postfire mortality of seven western conifers,”Can. J. Forest Res.,18, 1291–1297 (1988).

    Google Scholar 

  4. D. L. Peterson, “Crown scorch volume and scorch height: estimates of postfire tree condition,”Can. J. Forest Res.,15 596–598 (1985).

    Google Scholar 

  5. F. R. Steward, S. Peter, and J. B. Richon, “A method for predicting the depth of lethal heat penetration into mineral soils exposed to fires of various intensities,”Can. J. Forest Res.,20, 919–926 (1990).

    Google Scholar 

  6. A. R. Aston and A. M. Gill, “Coupled soil moisture, heat and vapour transfers under simulated fire conditions,”Aust. J. Soil Res,14, 55–66 (1987).

    Google Scholar 

  7. A. R. Riebau, D. G. Fox, M. L. Sestak, et al., “Simple approach smoke extension model,”Atmos. Environ.,22, No. 4, 783–788.

  8. R. C. Rothermel, “A mathematical model for predicting fire spread in wildland fuels,” USDA Forest Service Res. Pap. INT-115 (1972).

  9. F. A. Albini, “Estimating wildfire behavior and affects,” USDA Forest Service General Techn. Rep. INT-30 (1976).

  10. D. E. Ward and C. C. Hardy, “Smoke emissions from wildland fires,”Environ. Int. 17, 117–134 (1991).

    Google Scholar 

  11. J. K. Brown, “A case for management ignitions in wilderness,”Fire Management Notes,53–54, 3–8 (1992/93.)

    Google Scholar 

  12. M. A. Finney, “Modeling the spread and behavior of prescribed natural fires,” 12th Conf. on Fire and Forest Meteorology; 1993 October 26–28; Jekyll Island, GA: Proc. SAF Publ. 94-02. Bethesda, MD: Soc. Am. Foresters, 1993. P. 628–633.

  13. W. H. Frandsen, “The influence of moisture and mineral soil on the combustion limits of smoldering forest duff,“Can. J. Forest Res.,17, 1540–1544 (1987).

    Google Scholar 

  14. F. A. Albini, “A simulation model of the burning of large woody fuels,” Final Report, Research Grant INT-92754-GR (USDA Forest Service), Montana State University Mechanical Engineering Department (1994).

  15. H. A. Wright and A. W. Bailey,Fire Ecology: United States and Southern Canada, John Wiley and Sons, New York (1982).

    Google Scholar 

  16. R. E. Keane, S. F. Arno, and J. K. Brown, “Simulating cumulative fire effects in ponderosa pine/Douglas-fir forests,”Ecology,71, No. 1, 189–203 (1990).

    Google Scholar 

  17. D. E. Ward, R. A. Susott, et al., “Smoke and fire characteristics for Cerrado and deforestation burns in Brazil: BASE-B experiment,”J. Geophys. Res.,91, No. D13, 14601–14619 (1992).

    Google Scholar 

  18. F. J. Swanson, “Fire and geomorphic processes,” Fire Regimes and Ecosystems Conference, Dec. 11–15, 1979; Honolulu, HI: Proc. USDA Forest Service General Tech. Rep. WO-26 (1979), pp. 401–420.

  19. R. T. Graham, A. E. Harvey, et al., “Managing coarse woody debris in forests of the Rocky Mountains,” USDA Forest Service Res. Rap. INT-477 (1994).

  20. W. H. Frandsen and K. C. Ryan, “Soil moisture reduced belowground heat flux and soil temperatures under a burning fuel pile,”Can. J. Forest Res.,16, 244–248 (1986).

    Google Scholar 

  21. E. J. Kansa, H. E. Perlee, and R. F. Chaiken, “Mathematical model of wood pyrolysis including internal forced convection,”Combust. Flame,29 311–324 (1977).

    Google Scholar 

  22. T. Niioka, “Heterogeneous ignition of a solid fuel in a hot stagnation-point flow,”Combust. Sci. Technol.,18, 207–215 (1978).

    Google Scholar 

  23. D. J. Holve and A. M. Kanury “A numerical study of the response of building components to heating in a fire,”Trans. ASME, J. Heat Transfer,104, 344–350 (1982).

    Google Scholar 

  24. I. S. Wichman and A. Atreya, “A simplified model for the pyrolysis of charring materials,”Combust. Flame,68, 231–247 (1987).

    Google Scholar 

  25. M. K. Moallemi, H. Zhang, and S. Kumar, “Numerical modeling of two-dimensional smoldering processes,”Combust. Flame,95, 170–182 (1993).

    Google Scholar 

  26. R. A. Susott, “Differential scanning calorimetry of forest fuels,”Forest Sci.,28, No. 4, 839–851 (1982).

    Google Scholar 

  27. F. A. Albini, “Wildland fire spread by radiation — a model including fuel cooling by natural convection,”Combust. Sci. Technol.,48, 101–113 (1986).

    Google Scholar 

  28. A. M. Grishin,Mathematical Modeling of Forest Fires and New Methods of Fire Fighting [in Russian], Nauka, Novosibirsk (1992).

    Google Scholar 

  29. T. J. Ohlemiller, “Modeling of smoldering combustion propagation,”Prog. Energy Combust. Sci.,11, 277–310 (1985).

    Google Scholar 

  30. D. A. de Vries, “Simultaneous transfer of heat and moisture in porous media,”Trans. Amer. Geophys. Union,39, No. 5, 909–916 (1958).

    Google Scholar 

  31. A. V. Luikov, “Systems of differential equations of heat and mass transfer in capillary-porous bodies (review),”Int. J. Heat Mass Transfer,18, 1–14 (1975).

    Google Scholar 

  32. R. D. Hungerford, “Describing downward heat flow for predicting fire effects,” Problem Analysis. 1990, Problem No. 1, addendum, 7/9/90. Research Work Unit FS-INT-4403, Fire Effects. Prescribed and Wildfire. USDA Forest Service Intermountain Res. Station, Intermountain Fire Sci. Laboratory, Missoula, MT.

  33. L. F. DeBano, “Water repellent soils: a state-of-the-art,” USDA Forest Service General Techn. Rep. PSW-46 (1981).

  34. F. A. Albini, “A phenomenological model for wind speed and shear stress profiles in vegetation cover layers,”J. Appl. Meteorol.,20, No. 11, 1325–1335 (1981).

    Google Scholar 

  35. J. R. Martin (ed.),Recommended Guide for the Prediction of the Dispersion of Airborne Effluents, 3rd ed., Am. Soc. Mech. Engineers, New York (1979).

    Google Scholar 

  36. R. C. Rothermel, “A mathematical model for predicting fire spread in wildland fuels,” USDA Forest Service Res. Pap. INT-115 (1972).

  37. R. A. Wilson, “Reexamination of Rothermel's fire spread equations in no-wind and no-slope conditions,” USDA Forest Service Res. Pap. INT-134 (1990).

  38. B. J. Stocks, M. E. Alexander, R. S. McAlpine, B. D. Lawson, and C. E. Van Wagner, Canadian Forest Fire Danger Rating System, Users' Guide, Canadian Forestry Service Fire Danger Group. Looseleaf, unnumbered publication (1987).

  39. P. J. Crutzen and J. G. Goldammer (eds.),Fire in the Environment. The Ecological, Atmospheric, and Climatic Importance of Vegetation Fires, John Wiley and Sons, Chichester, UK (1992).

    Google Scholar 

  40. A. S. Monin and A. M. Yaglom,Statistical Fluid Mechanics: Mechanics of Turbulence [Transl. from the Russian], J. L. Lumley (ed.), MIT Press, Cambridge (1971), Vol. 1.

    Google Scholar 

  41. E. N. Lorenz, “On the existence of extended range predictability,”J. Appl. Meteorol.,12, 543–546 (1973).

    Google Scholar 

  42. J. S. Levine (ed.),Global Biomass Burning: Atmospheric, Climatic, and Biospheric Implications, MIT Press, Cambridge (1991).

    Google Scholar 

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Published in Fizika Goreniya i Vzryva, Vol. 32, No. 5, pp. 55–70, September–October, 1996.

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Albini, F.A., Brown, J.K. Mathematical modeling and predicting wildland fire effects. Combust Explos Shock Waves 32, 520–533 (1996). https://doi.org/10.1007/BF01998574

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