scholarly journals The Impact of Fuel Treatments on Wildfire Behavior in North American Boreal Fuels: A Simulation Study Using FIRETEC

Fire ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 18 ◽  
Author(s):  
Ginny Marshall ◽  
Dan Thompson ◽  
Kerry Anderson ◽  
Brian Simpson ◽  
Rodman Linn ◽  
...  
Keyword(s):  
Black Spruce ◽  
Treatment Options ◽  
Fire Behavior ◽  
Fire Spread ◽  
Natural Forests ◽  
Spread Rate ◽  
Multiple Components ◽  
In Fire ◽  
The Impact ◽  
Common Tree

Current methods of predicting fire spread in Canadian forests are suited to large wildfires that spread through natural forests. Recently, the use of mechanical and thinning treatments of forests in the wildland-urban interface of Canada has increased. To assist in community wildfire protection planning in forests not covered by existing operational fire spread models, we use FIRETEC to simulate fire spread in lowland black spruce fuel structures, the most common tree stand in Canada. The simulated treatments included the mechanical mulching of strips, and larger, irregularly shaped areas. In all cases, the removal of fuel by mulch strips broke up the fuels, but also caused wind speed increases, so little decrease in fire spread rate was modelled. For large irregular clearings, the fire spread slowly through the mulched wood chips, and large decreases in fire spread and intensity were simulated. Furthermore, some treatments in the black spruce forest were found to be effective in decreasing the distance and/or density of firebrands. The simulations conducted can be used alongside experimental fires and documented wildfires to examine the effectiveness of differing fuel treatment options to alter multiple components of fire behavior.

Review of Basic Models in Fire Dynamics

2000 ◽  
Author(s):  
Hyeong-Jin Kim ◽  
David G. Lilley
Keyword(s):  
Fire Behavior ◽  
Fire Spread ◽  
Scientific Understanding ◽  
Fire Dynamics ◽  
Topic Area ◽  
Background Theory ◽  
Burning Rates ◽  
Main Components ◽  
Structural Fires ◽  
In Fire

Abstract The ultimate goal of this study is to improve scientific understanding of fire behavior leading to flashover in structural fires. This document summarizes important information in five topic areas: burning rates, radiant ignition, fire spread rates, ventilation limit imposed by size of opening, and flashover criteria. These are the main components related to the scientific understanding of the fire growth and flashover problem involved in real-world structural fires. Within each topic area, there are four subsections dealing with background, theory, comments, and references. Main components of the study are to develop improved mathematical simulations so as to improve the accuracy of theoretical calculation and to develop and extend the range of knowledge and modeling capability so as to extend the range of available experimental data.

scholarly journals Sensitivity of simulated historical burned area to environmental andanthropogenic controls: A comparison of seven fire models

2019 ◽  
Author(s):  
Lina Teckentrup ◽  
Sandy P. Harrison ◽  
Stijn Hantson ◽  
Angelika Heil ◽  
Joe R. Melton ◽  
...  
Keyword(s):  
Land Use ◽  
Global Change ◽  
Fire Regime ◽  
Fire Behavior ◽  
Fire Regimes ◽  
Burned Area ◽  
Strong Response ◽  
Fire Models ◽  
In Fire ◽  
The Impact

Abstract. Understanding how fire regimes change over time is of major importance for understanding their future impact on the Earth system, including society. Large differences in simulated burned area between fire models show that there is substantial uncertainty associated with modelling global change impacts on fire regimes. We draw here on sensitivity simulations made by seven global dynamic vegetation models participating in the Fire Model Intercomparison Project (FireMIP) to understand how differences in models translate into differences in fire regime projections. The sensitivity experiments isolate the impact of the individual drivers of fire, which are prescribed in the simulations. Specifically these drivers are atmospheric CO2, population density, land-use change, lightning and climate. The seven models capture spatial patterns in burned area. However, they show considerable differences in the burned area trends since 1900. We analyse the trajectories of differences between the sensitivity and reference simulation to improve our understanding of what drives the global trend in burned area. Where it is possible, we link the inter-model differences to model assumptions. Overall, these analyses reveal that the strongest differences leading to diverging trajectories are related to the way anthropogenic ignitions and suppression, as well as the effects of land-use on vegetation and fire, are incorporated in individual models. This points to a need to improve our understanding and model representation of the relationship between human activities and fire to improve our abilities to model fire for global change applications. Only two models show a strong response to CO2 and the response to lightning on global scale is low for all models. The sensitivity to climate shows a spatially heterogeneous response and globally only two models show a significant trend. It was not possible to attribute the climate-induced changes in burned area to model assumptions or specific climatic parameters. However, the strong influence of climate on the inter-annual variability in burned area, shown by all the models, shows that we need to pay attention to the simulation of fire weather but also meteorological influences on biomass accumulation and fuel properties in order to better capture extremes in fire behavior.

Testing the Effect of Fuel Consumption on Fire Spread Rate

1995 ◽  
Vol 5 (3) ◽  
pp. 143 ◽  
Author(s):  
RS McAlpine
Keyword(s):  
Fuel Consumption ◽  
Fire Behavior ◽  
Fire Spread ◽  
Data Sets ◽  
Behavior Prediction ◽  
Spread Rate ◽  
Data Set ◽  
Weak Relationship ◽  
Rate Of Spread ◽  
Fire Front

It has been theorized that the amount of fuel involved in a fire front can influence the rate of spread of the fire. Three data sets are examined in an attempt to prove this relationship. The first, a Canadian Forest Service database of over 400 experimental, wild, and prescribed fires showed a weak relationship in some fuel complexes. The second, a series of field experimental fires conducted to isolate the relationship, showed a small effect. The final data set, from a series of 47 small plots (3m x 3m) burned with a variety of fuel loadings, also show a weak relationship. While a relationship was shown to exist, it is debatable whether it should be included in a fire behavior prediction system. Inherent errors associated with predicting fuel consumption can be compounded, causing additional, more critical, errors with the derived fire spread rate.

An effective wind speed for models of fire spread

2002 ◽  
Vol 11 (2) ◽  
pp. 153 ◽  
Author(s):  
Ralph M. Nelson, Jr.
Keyword(s):  
Wind Speed ◽  
Slope Angle ◽  
Fire Behavior ◽  
Fire Spread ◽  
Spread Rate ◽  
Ambient Wind ◽  
Rate Of Spread ◽  
Spread Model ◽  
The Difference ◽  
Fire Spread Model

In previous descriptions of wind-slope interaction and the spread rate of wildland fires it is assumed that the separate effects of wind and slope are independent and additive and that corrections for these effects may be applied to spread rates computed from existing rate of spread models. A different approach is explored in the present paper in which the upslope component of the fire's buoyant velocity is used with the speed and direction of the ambient wind to produce effective values of wind speed and direction that determine the rate of spread vector. Thus the effective wind speed can replace the ambient wind speed in any suitable fire spread model and provide a description of the combined effects on the fire behavior. The difference between current and threshold values of the effective wind speed also can be used to determine whether fire will spread in a given fuel type. The model is tested with data from experiments reported by Weise (1993) in which fire spread was in response to variation in both wind speed and slope angle. The Weise spread rate data were satisfactorily correlated using dimensional methods and the observed spread rate was reasonably well predicted with an existing rate of spread model. Directional aspects of the model were not tested because the Weise (1993) study did not include winds with a cross-slope component.

scholarly journals A Review of Fire Interactions and Mass Fires

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Mark A. Finney ◽  
Sara S. McAllister
Keyword(s):  
Wildland Fire ◽  
Flame Temperature ◽  
Fire Behavior ◽  
Fire Spread ◽  
Velocity Pulsation ◽  
Interactive Behavior ◽  
Life Saving ◽  
Column Dynamics ◽  
Burning Rates ◽  
In Fire

The character of a wildland fire can change dramatically in the presence of another nearby fire. Understanding and predicting the changes in behavior due to fire-fire interactions cannot only be life-saving to those on the ground, but also be used to better control a prescribed fire to meet objectives. In discontinuous fuel types, such interactions may elicit fire spread where none otherwise existed. Fire-fire interactions occur naturally when spot fires start ahead of the main fire and when separate fire events converge in one location. Interactions can be created intentionally during prescribed fires by using spatial ignition patterns. Mass fires are among the most extreme examples of interactive behavior. This paper presents a review of the detailed effects of fire-fire interaction in terms of merging or coalescence criteria, burning rates, flame dimensions, flame temperature, indraft velocity, pulsation, and convection column dynamics. Though relevant in many situations, these changes in fire behavior have yet to be included in any operational-fire models or decision support systems.

Microplot Sampling of Fire Behavior on Populus tremuloides Stands in North-Central Colorado

1993 ◽  
Vol 3 (2) ◽  
pp. 85 ◽  
Author(s):  
JK Smith ◽  
RD Laven ◽  
PN Omi
Keyword(s):  
Populus Tremuloides ◽  
Fire Behavior ◽  
Fire Effects ◽  
Flame Length ◽  
Fire Intensity ◽  
Total Heat Release ◽  
Spread Rate ◽  
North Central ◽  
Area Burned ◽  
In Fire

Fire behavior research has traditionally used whole burns as sampling units. Numerous burns were required to quantify relationships between pre-burn descriptors, fire behavior, and fire effects. Recent studies have used small plots within burns (called microplots) as the sampling units. This study measured pre-burn descriptors and fire behavior on 0.75-m2 microplots in two Populus tremuloides Michx. burns in north-central Colorado. Microplot estimates of woody fuels, spread rate, and area burned were comparable with measurements from whole burns. Two methods of estimating fire intensity on microplots produced inconsistent results. Juniperus communis L. patches burned more intensely and released more heat than herbaceous areas. Duff characteristics were the most useful pre-burn descriptors for predicting area burned, spread rate, flame length, and total heat release. Microplot sampling on two bums enabled us to relate variability in fire behavior to pre-burn characteristics and to obtain replicate estimates of these relationships.

scholarly journals FIRE BEHAVIOR PREDICTING MODELS EFFICIENCY IN BRAZILIAN COMMERCIAL EUCALYPT PLANTATIONS

CERNE ◽  
2016 ◽  
Vol 22 (4) ◽  
pp. 389-396 ◽  
Author(s):  
Benjamin Leonardo Alves White ◽  
Larissa Alves Secundo White ◽  
Genésio Tâmara Ribeiro ◽  
Rosemeri Melo Souza
Keyword(s):  
Fire Suppression ◽  
Fire Behavior ◽  
Fire Spread ◽  
Flame Length ◽  
Eucalypt Plantations ◽  
Spread Model ◽  
Experimental Laboratory ◽  
Predicted Values ◽  
In Fire ◽  
Better Than

ABSTRACT Knowing how a wildfire will behave is extremely important in order to assist in fire suppression and prevention operations. Since the 1940’s mathematical models to estimate how the fire will behave have been developed worldwide, however, none of them, until now, had their efficiency tested in Brazilian commercial eucalypt plantations nor in other vegetation types in the country. This study aims to verify the accuracy of the Rothermel (1972) fire spread model, the Byram (1959) flame length model, and the fire spread and length equations derived from the McArthur (1962) control burn meters. To meet these objectives, 105 experimental laboratory fires were done and their results compared with the predicted values from the models tested. The Rothermel and Byram models predicted better than McArthur’s, nevertheless, all of them underestimated the fire behavior aspects evaluated and were statistically different from the experimental data.

Basic Models in Fire Development

1999 ◽  
Author(s):  
Hyeong-Jin Kim ◽  
David G. Lilley
Keyword(s):  
Fire Behavior ◽  
Fire Spread ◽  
Scientific Understanding ◽  
Topic Area ◽  
Background Theory ◽  
Mathematical Simulations ◽  
Burning Rates ◽  
Main Components ◽  
Structural Fires ◽  
In Fire

Abstract The ultimate goal of this study is to improve scientific understanding of fire behavior leading to flashover in structural fires. This document summarizes important information in five topic areas: burning rates, radiant ignition, fire spread rates, ventilation limit imposed by size of opening, and flashover criteria. These are the main components related to the scientific understanding of the fire growth and flashover problem involved in real-world structural fires. Within each topic area, there are four subsections dealing with background, theory, comments, and references. Main components of the study are to develop improved mathematical simulations so as to improve the accuracy of theoretical calculation and to develop and extend the range of knowledge and modeling capability so as to extend the range of available experimental data.

scholarly journals A Study on the Heat Release Characteristics of Fire Load for Performance Based Design of Multiplexes: A Focus on the Heat Release Rate and Fire Spread Rate of Cinema Seats

2020 ◽  
Vol 34 (1) ◽  
pp. 11-17
Author(s):  
Dong-Gun Nam ◽  
Hyo-Yeon Jang ◽  
Cheol-Hong Hwang ◽  
Ohk-Kun Lim
Keyword(s):  
Heat Release ◽  
Heat Release Rate ◽  
Release Rate ◽  
Fire Behavior ◽  
Fire Spread ◽  
Performance Based Design ◽  
Unit Mass ◽  
Spread Rate ◽  
Fire Hazards ◽  
Evacuation Safety

As performance-based design (PBD) has a direct impact on evacuation safety assessments, designing fire scenarios based on real fire tests is essential. To improve the reliability of the PBD for fire safety in multiplexes, information on fire behavior, such as heat release rate (HRR) and fire spread rate, are provided in this study by conducting a standard fabric flammability test. To this end, several chairs were arranged in a pattern that resembled a theater-style seating. The peak HRR and heating value per unit mass for each chair ranged from 415 kW to 988 kW and 15.2 MJ/kg to 23.8 MJ/kg, respectively. The heating values per unit mass of the new and old chairs were 23.6 MJ/kg and 16.7 MJ/kg, respectively. As the quantity of plastic and cushioning materials in the new chairs was more than that of the old ones, the new chairs were more vulnerable to fire hazards. Furthermore, when the chairs were arranged in a line, the fire spread rate was observed to be 0.39–0.42 m/min, regardless of the ignition location. Finally, a fire growth curve showing the peak HRR and fire spread rate was also demonstrated.

A computational method for optimising fuel treatment locations

2007 ◽  
Vol 16 (6) ◽  
pp. 702 ◽  
Author(s):  
Mark A. Finney
Keyword(s):  
Fire Spread ◽  
Time Algorithm ◽  
Computational Method ◽  
Fire Growth ◽  
Spread Rate ◽  
Fuel Treatment ◽  
Large Fires ◽  
Random Patterns ◽  
In Fire ◽  
Weather Scenario

Modelling 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 less area treated than random patterns). Although conceptually simple, the application of these theories to actual landscapes is made difficult by heterogeneity (fuels, weather, and topography). Here a computational method is described for heterogeneous landscapes that identifies efficient fuel treatment units and patterns for a selected fire weather scenario. The method requires input of two sets of spatial input data: (1) the current fuel conditions; and (2) the potential fuel conditions after a treatment is conducted (if treatment is permitted in a particular location). The contrast in fire spread rate between the two landscapes under the weather scenario conditions indicates where treatments are effective at delaying the growth of fires. Fire growth from the upwind edge of the landscape is then computed using a minimum travel time algorithm. This identifies major fire travel routes (areas needing treatment) and their intersections with the areas where treatments occurred and reduced the spread rate (opportunity for treatment). These zones of treatment ‘need and opportunity’ are iteratively delineated by contiguous patches of raster cells up to a user-supplied constraint on percentage of land area to be treated. This algorithm is demonstrated for simple and for complex landscapes.

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