Skip to main content

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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

Displaying 626 - 650 of 14905

Albini
This document comprises a reference manual for computer programs (FIREMODS) pertaining to wildfire behavior and its effects, maintained by the Fire Fundamental research work unit, Northern Forest Fire Laboratory, Missoula, Montana. The subroutines embody mathematical models that…
Year: 1976
Type: Document
Source: FRAMES

Schroeder
A number of studies have been made over the years in an attempt to relate pertinent weather factors (including fuel moisture) to fire occurrence. Generally, regression analyses were used. In such studies, all of the many factors that affect ignition of wildfires are necessarily…
Year: 1969
Type: Document
Source: FRAMES

Thompson
Millions of miles of highway crisscross the United States. Highways fragment the landscape, affecting the distribution of animal populations and limiting the ability of individuals to disperse between those populations. Moreover, animal-vehicle collisions are a serious hazard to…
Year: 2006
Type: Document
Source: FRAMES

Tabazadeh, Yokelson, Singh, Hobbs, Crawford, Iraci
In this report we analyze airborne measurements to suggest that methanol in biomass burning smoke is lost heterogeneously in clouds. When a smoke plume intersected a cumulus cloud during the SAFARI 2000 field project, the observed methanol gas phase concentration rapidly…
Year: 2004
Type: Document
Source: FRAMES

Latham, Schlieter
Ignition of wildland fine fuels by lightning was simulated with an electric arc discharge in the laboratory. The results showed that fuel parameters such as depth, moisture content, bulk density, and mineral content can be combined with the duration of the simulated continuing…
Year: 1989
Type: Document
Source: FRAMES

Winandy, Kamke
The USDA Forest Service, Forest Products Laboratory (Madison, Wisconsin) and the Wood-Based Composites Center of Virginia Tech (Blacksburg, Virginia) co-sponsored a conference, held November 5-6, 2003, in Madison, Wisconsin, on the fundamentals of composite processing. The goals…
Year: 2004
Type: Document
Source: FRAMES

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