The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
Type
Topic
Year
Displaying 626 - 650 of 13144
Albini, Chase
Presents simplified equations for solving the fire containment problem. Equations can be used on a programmable pocket calculator to derive the burned area, given forward rate of spread, initial area, fire shape length/width ratio, and control-line construction rate. Equations…
Year: 1980
Type: Document
Source: FRAMES, TTRS
Albini, Korovin, Gorovaya
This paper presents a mathematical formulation of the construction of a containment perimeter for a wildland fire. The formulation permits the calculation of total burned area, final perimeter, and containment time, if the rate of growth of the fire can be specified as a…
Year: 1978
Type: Document
Source: FRAMES
Fried, Fried
Existing simulation models for fire protection planning rely on a containment algorithm which fails to account for the interaction between the production of containment line and a fire's capacity to spread. This paper describes a technique for simulating wildland fire…
Year: 1996
Type: Document
Source: FRAMES
Chase
This note presents equations for calculating maximum spot fire distance from firebrand sources in the Intermountain West based on prevailing windspeed, vegetation cover, and terrain in the area. The equations include the capability to predict spotting distance from a torching…
Year: 1981
Type: Document
Source: FRAMES
Albini
This note extends a predictive model for estimating spot fire distance from burning trees (Albini, Frank A. 1979. Spot fire distance from burning trees-a predictive model. USDA Forest Service General Technical Report INT-56, 73 p. Intermountain Forest and Range Experiment…
Year: 1981
Type: Document
Source: FRAMES
Chase
Extends equations for calculating the maximum spot fire distance to include wind-driven fires burning in surface fuels as a firebrand source. Predictions are based upon prevailing windspeed, vegetational cover, and local terrain. The equations can be used on a programmable…
Year: 1984
Type: Document
Source: FRAMES
Albini
Equations are presented by which to calculate the maximum firebrand particle lofting height from wind-driven line fires in surface fuels. Variables used are the fuel type, described as one of twelve stylized models used for fire behavior prediction, the fire intensity, and the…
Year: 1983
Type: Document
Source: FRAMES
Albini
Presents a predictive model for calculating the maximum spot fire distance expected when firebrands are thrown into the air by the burning of tree crowns. Variables included are: quantity and surface/volume ratio of foliage in the burning tree(s), height of the tree(s), and the…
Year: 1979
Type: Document
Source: FRAMES
Albini, Baughman
This paper presents formulae, tables, and figures that can be used to estimate the ratio of mean windspeed acting on the flame from a spreading wildland fire to the mean windspeed 20 ft (6 m) above the vegetation cover. The formulae for windspeed above uniform, continuous…
Year: 1979
Type: Document
Source: FRAMES, TTRS
Baughman, Albini
Wind is one of the major factors involved in predicting forest fire behavior. Fire behavior models require wind information to predict fire spread in various fuel types and within forest stands in complex terrain. The means of providing the necessary wind data in remote areas,…
Year: 1980
Type: Document
Source: FRAMES, TTRS
Anderson
Documents the analysis of wind tunnel experiments on fire spread that produced a double ellipse concept of fire area growth. This provides ways of estimating size (area), shape (perimeter), and length to width ratio of a wind-driven wild land fire. The only inputs needed are…
Year: 1983
Type: Document
Source: FRAMES
Fujioka
Estimating rate of fire spread is a key element in planning for effective fire control. Land managers use the Rothermel spread model, but the model assumptions are violated when fuel, weather, and topography are nonuniform. This paper compares three averaging techniques--…
Year: 1985
Type: Document
Source: FRAMES, TTRS
Roussopoulos
Summary of fire intensity levels, flame length, and fire description and control actions.
Year: 1974
Type: Document
Source: FRAMES
Burgan
The basic concepts of fuel modeling were presented in the fuel subsystem of BEHAVE. This report expands on these concepts in an attempt to provide a better understanding of the technical details of constructing site-specific fire behavior fuel models. This discussion is…
Year: 1987
Type: Document
Source: FRAMES, TTRS
Andrews, Bradshaw
Although the primary use of RXWINDOW will be for prescribed fire planning, it has applications in other fire management activities where there is a need to relate potential fire behavior to environmental conditions. For example, RXWINDOW can be used on a wildfire to determine…
Year: 1990
Type: Document
Source: FRAMES
Andrews
Describes BURN Subsystem, Part 1, the operational fire behavior prediction subsystem of the BEHAVE fire behavior prediction and fuel modeling system. The manual covers operation of the computer program, assumptions of the mathematical models used in the calculations, and…
Year: 1986
Type: Document
Source: FRAMES, TTRS
In 1972, aeronautical engineer Richard C. Rothermel, of the USDA Fire Sciences Lab at Missoula, Montana, developed a method for modeling the spread of wildfire. The model became widely used, and although the ensuing years have brought many technological innovations, it is still…
Year: 2008
Type: Document
Source: FRAMES
Rothermel
Aerial ignition devices are being used which can start fires by a succession of point sources or by a line of fire. Through the use of these devices, the fire manager has considerable control of the fire situation. Control of the ultimate fire behavior depends on the ignition…
Year: 1984
Type: Document
Source: FRAMES, TTRS
Rothermel
The fire behavior nomograms are excerpted from How to Predict the Spread and Intensity of Forest and Range Fuel, by Richard C. Rothermel, with the exception of the nomogram for fuel model #7 which was updated for this publication.
Year: 1992
Type: Document
Source: FRAMES
Andrews, Kelley
This poster is an overview of application of BehavePlus to prescribed fire planning.
Year: 2007
Type: Document
Source: FRAMES
Andrews, Bevins, Seli
This poster is an overview of BehavePlus (versions 3 and 4). It includes a brief description of each module.
Year: 2007
Type: Document
Source: FRAMES
Forthofer
Currently, no methods of predicting microscale, terrain influenced winds are available to fire managers. This study evaluated three methods of providing surface wind information to fire growth models. One was simply a uniform wind speed and direction, a method that has been…
Year: 2007
Type: Document
Source: FRAMES
Andersen, Reutebuch, McGaughey
The development of remote sensing technologies increases the potential to support more precise, efficient, and ecologically-sensitive approaches to forest resource management. One of the primary requirements of precision forest management is accurate and detailed 3D spatial data…
Year: 2006
Type: Document
Source: FRAMES
Andersen, McGaughey, Reutebuch
High resolution, active remote sensing technologies, such as interferometric synthetic aperture radar (IFSAR) and airborne laser scanning (lidar) have the capability to provide forest managers with direct measurements of 3-dimensional forest canopy surface structure. While lidar…
Year: 2008
Type: Document
Source: FRAMES
Cruz, Alexander
To control and use wildland fires safely and effectively depends on creditable assessments of fire potential, including the propensity for crowning in conifer forests. Simulation studies that use certain fire modelling systems (i.e. NEXUS, FlamMap, FARSITE, FFE-FVS (Fire and…
Year: 2010
Type: Document
Source: FRAMES, TTRS