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The BehavePlus fire modeling system is a program for personal computers that is a collection of mathematical models that describe fire and the fire environment. It is a flexible system that produces tables, graphs, and simple diagrams. It can be used for a multitude of fire management applications…
Author(s): Patricia L. Andrews, Collin D. Bevins, Robert C. Seli
Keywords: Fire behavior, fire spread, fire intensity, computer program
Source: Gen. Tech. Rep. RMRS-GTR-106 Revised. Ogden, UT: Department of Agriculture, Forest Service, Rocky Mountain Research Station. 132p.
Year: 2005
This publication presents tables on the behavior of fire and the resistance: of fuels to control. The information is to be used with the photos in the publication, "Photo Series for Quantifying Forest Residues in the Sierra Mixed Conifer Type, Sierra True Fir Type" (Maxwell, Wayne G.; Ward,…
Author(s): Franklin R. Ward, David V. Sandberg
Keywords: Fire behavior (forest), fire management, fire spread
Source: Gen. Tech. Rep. PNW-GTR-114. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station. 52 p
Year: 1981
This publication presents tables on the behavior of fire and the resistance of fuels to control. The information is to be used with the publication, "Photo Series for Quantifying Forest Residues in the Ponderosa Pine Type, Ponderosa Pine and Associated Species Type, Lodgepole Pine Type" (Maxwell,…
Author(s): Franklin R. Ward, David V. Sandberg
Keywords: Fire behavior (forest), fire management, fire spread
Source: Gen. Tech. Rep. PNW-GTR-115. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station. 50 p
Year: 1981
This publication presents tables on the behavior of fire and the resistance of fuels to control. The information is to be used with the photos in the publication, "Photo Series for Quantifying Forest Residues in the Coastal Douglas-fir—Hemlock Type, Coastal Douglas-fir—Hardwood Type" (Maxwell,…
Author(s): David V. SANDBERG, Franklin R. Ward
Keywords: Fire behavior (forest), fire management, fire spread
Source: Gen. Tech. Rep. PNW-GTR-116. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station. 64 p
Year: 1981
The fire characteristics chart is proposed as a graphical method ofpresenting two primary characteristics of fire behavior – spread rate and intensity. Its primary use is communicating and interpreting either site-specific predictions of fire behavior or National Fire-Danger Rating System (NFDRS)…
Author(s): Patricia L. Andrews, Richard C. Rothermel
Keywords: fire behavior, fire spread, fire intensity, fire-danger rating, NationalFire-Danger Rating System
Source: Gen. Tech. Rep. INT-131. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 21 p
Year: 1982
This manual documents procedures for estimating the rate of forward spread, intensity, flame length, and size of fires burning in forests and rangelands. Contains instructions for obtaining fuel and weather data, calculating fire behavior, and interpreting the results for application to actual fire…
Author(s): Richard C. Rothermel
Keywords: fire behavior prediction, fire spread, fire intensity, fire growth
Source: Gen. Tech. Rep. INT-143. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 161 p.
Year: 1983
Modeling and experiments have suggested that spatial fuel treatment patterns can influence the movement of large fires. On simple theoretical landscapes consisting of two fuel types (treated and untreated) optimal patterns can be analytically derived that disrupt fire growth efficiently (i.e. with…
Author(s): Mark A. Finney
Keywords: fire, fire ecology, fuels management, computational method, fuel treatment units, spatial input data, fire spread, fire growth
Source: In: Andrews, Patricia L.; Butler, Bret W., comps. 2006. Fuels Management-How to Measure Success: Conference Proceedings. 28-30 March 2006; Portland, OR. Proceedings RMRS-P-41. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 107-123
Year: 2006
Understanding and calculating fire behaviour in various fuel types is essential for effective fire management, including wildfire suppression and fuels management. Fire spread in grassland fuel is affected by the curing level, the amount of dead fuel expressed as a percentage of the total (live and…
Author(s): Patricia L. Andrews, Stuart A.J. Anderson, Wendy R. Anderson
Keywords: fire, fire ecology, fuels management, dynamic fuel load transfer function, grassland curing data, wildfire suppression, fire spread, grassland fuel, fire models, Australian Bushfire Cooperative Research Centre (CRC), Rothermel’s fire spread model
Source: In: Andrews, Patricia L.; Butler, Bret W., comps. 2006. Fuels Management-How to Measure Success: Conference Proceedings. 28-30 March 2006; Portland, OR. Proceedings RMRS-P-41. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 381-394
Year: 2006
A mathematical fire model for predicting rate of spread and intensity that is applicable to a wide range of wildland fuels and environment is presented. Methods of incorporating mixtures of fuel sizes are introduced by weighting input parameters by surface area. The input parameters do not require…
Author(s): Richard C. Rothermel
Keywords: fire spread, intensity, wildland fuels, fire model
Source: Res. Pap. INT-115. Ogden, UT: U.S. Department of Agriculture, Intermountain Forest and Range Experiment Station. 40 p.
Year: 1972
Five existing fire models, both experimental and theoretical, did not adequately predict rate-of-spread (ROS) when tested on single- and multiclump fires in oak chaparral in Arizona. A statistical model developed using essentially the same input variables but weighted differently accounted for 81…
Author(s): A. W. Lindenmuth, James R. Davis
Keywords: Arizona chaparral, fire spread, fire use, fuel chemistry
Source: Res. Paper RM-101. Fort Collins, CO: USDA Forest Service, Rocky Mountain Forest and Range Experiment Station. 11 p.
Year: 1973
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