In Situ Diagnostics for Characterization of Mass and Energy Transport
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In situ diagnostics in the context of wildland fire implies tools, methods, and sensors designed to characterize the physical properties of the fire and surrounding environment. It is not limited to just flames but also the flora and fauna involved in the fire environment.
Mass and energy transport play complementary roles in wildland fire intensity and spread, yet our understanding of these phenomena in the context of wildland fire remains limited (Anderson 1969; Yedinak et al. 2006; Anderson et al. 2009). In order to understand and accurately predict the behavior of forest fires (Albini 1996), model fire emissions (Wooster et al. 2005; Freeborn et al. 2008), and improve public and wildland firefighter safety (Butler and Cohen 1998), it is critical to understand how mass and energy are transported in a burning wildland fire. Wildland fire researchers have recognized the benefit of in situ measurements of fire intensity and behavior as...
- Anderson HE (1969) Heat transfer and fire spread. USDA Forest Serv Res Pap INT 69:1–20Google Scholar
- Anderson WR, Catchpole EA, Butler BW (2009) Measuring and modeling convective heat transfer in front of a spreading fire. Int J Wildland Fire. In reviewGoogle Scholar
- Barrows JS (1951a) Fire behavior in northern Rocky Mountain forests, vol 29. USDA, Forest Service, MissoulaGoogle Scholar
- Barrows JS (1951b) Forest fires in the northern Rocky Mountains, vol 28. USDA, Forest Service, MissoulaGoogle Scholar
- Butler BW (1993) Experimental measurements of radiant heat fluxes from simulated wildfire flames. In '12th International Conference of Fire and Forest Meteorology, Oct. 26-28, Jekyll Island, Gerogia', Oct. 26-28, 1993. (Eds JM Saveland, J Cohen) Volume 1 pp. 104-111. (Society of American Foresters, Bethesda, MD)Google Scholar
- Fons WL (1946) Analysis of fire spread in light forest fuels. J Agric Res 72:93–121Google Scholar
- Jimenez D, Forthofer JM, Reardon JJ, Butler BW (2007) Fire Behavior sensor package remote trigger design. In: Butler BW, Cook W (eds) The fire environment-innovations, management, and policy, Destin, 26–30 Mar 2007, vol RMRS-P-46CD. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, p 662Google Scholar
- Pitts WM, Braun E, Peacock RD, Mitler HE, Johnsson EL, Reneke PA, Blevins LG (1999) Temperature uncertainties for bare-bead and aspirated thermocouple measurements in fire environments. In: Beall KA (ed) Joint Meeting, Combustion Institute, Annual conference on fire research. National Institute of Standards and Technology, Gaithersburg, 2–5 Nov 1998. Combustion Institute, pp 508–5111Google Scholar
- Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels, vol INT-115. USDA, Forest Service, OgdenGoogle Scholar
- Wooster MJ, Roberts G, Perry GLW, Kaufman YJ (2005) Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release. J Geophys Res 110(24)Google Scholar