Fire Containment Cover - Operation and Use

2020 ◽  
Author(s):  
Keyword(s):  
Fire Containment

Modelling suppression difficulty: current and future applications

2020 ◽  
Vol 29 (8) ◽  
pp. 739 ◽  
Author(s):  
Francisco Rodríguez y Silva ◽  
Christopher D. O'Connor ◽  
Matthew P. Thompson ◽  
Juan Ramón Molina Martínez ◽  
David E. Calkin
Keyword(s):  
Expert Knowledge ◽  
Fire Suppression ◽  
Fire Behaviour ◽  
Support Tools ◽  
The Usa ◽  
Large Fires ◽  
Informational Basis ◽  
Fire Containment ◽  
Difficulty Index ◽  
Made In

Improving decision processes and the informational basis upon which decisions are made in pursuit of safer and more effective fire response have become key priorities of the fire research community. One area of emphasis is bridging the gap between fire researchers and managers through development of application-focused, operationally relevant decision support tools. In this paper we focus on a family of such tools designed to characterise the difficulty of suppression operations by weighing suppression challenges against suppression opportunities. These tools integrate potential fire behaviour, vegetation cover types, topography, road and trail networks, existing fuel breaks and fireline production potential to map the operational effort necessary for fire suppression. We include case studies from two large fires in the USA and Spain to demonstrate model updates and improvements intended to better capture extreme fire behaviour and present results demonstrating successful fire containment where suppression difficulty index (SDI) values were low and containment only after a moderation of fire weather where SDI values were high. A basic aim of this work is reducing the uncertainty and increasing the efficiency of suppression operations through assessment of landscape conditions and incorporation of expert knowledge into planning.

Corrigendum to: Modelling suppression difficulty: current and future applications

2020 ◽  
Vol 29 (8) ◽  
pp. 752
Author(s):  
Francisco Rodríguez y Silva ◽  
Christopher D. O'Connor ◽  
Matthew P. Thompson ◽  
Juan Ramón Molina Martínez ◽  
David E. Calkin
Keyword(s):  
Expert Knowledge ◽  
Fire Suppression ◽  
Fire Behaviour ◽  
Support Tools ◽  
The Usa ◽  
Large Fires ◽  
Informational Basis ◽  
Fire Containment ◽  
Difficulty Index ◽  
Made In

Improving decision processes and the informational basis upon which decisions are made in pursuit of safer and more effective fire response have become key priorities of the fire research community. One area of emphasis is bridging the gap between fire researchers and managers through development of application-focused, operationally relevant decision support tools. In this paper we focus on a family of such tools designed to characterise the difficulty of suppression operations by weighing suppression challenges against suppression opportunities. These tools integrate potential fire behaviour, vegetation cover types, topography, road and trail networks, existing fuel breaks and fireline production potential to map the operational effort necessary for fire suppression. We include case studies from two large fires in the USA and Spain to demonstrate model updates and improvements intended to better capture extreme fire behaviour and present results demonstrating successful fire containment where suppression difficulty index (SDI) values were low and containment only after a moderation of fire weather where SDI values were high. A basic aim of this work is reducing the uncertainty and increasing the efficiency of suppression operations through assessment of landscape conditions and incorporation of expert knowledge into planning.

Modeling Wildland Fire Containment With Uncertain Flame Length and Fireline Width

1993 ◽  
Vol 3 (3) ◽  
pp. 179 ◽  
Author(s):  
R Mees ◽  
D Strauss ◽  
R Chase
Keyword(s):  
Mathematical Model ◽  
Wildland Fire ◽  
Flame Length ◽  
Fire Fighting ◽  
Optimum Allocation ◽  
Fire Containment

We describe a mathematical model for the probability that a fireline succeeds in containing a fire. The probability increases as the fireline width increases, and also as the fire's flame length decreases. More interestingly, uncertainties in width and flame length affect the computed containment probabilities, and can thus indirectly affect the optimum allocation of fire-fighting resources. Uncertainty about the fireline width that will be produced can often affect containment chances as much as uncertainty in flame length.

scholarly journals Fire containment in grids of dimension three and higher

2007 ◽  
Vol 155 (17) ◽  
pp. 2257-2268 ◽  
Author(s):  
Mike Develin ◽  
Stephen G. Hartke
Keyword(s):  
Fire Containment

Deploying initial attack resources for wildfire suppression: spatial coordination, budget constraints, and capacity constraints

2013 ◽  
Vol 43 (1) ◽  
pp. 56-65 ◽  
Author(s):  
Yohan Lee ◽  
Jeremy S. Fried ◽  
Heidi J. Albers ◽  
Robert G. Haight
Keyword(s):  
Optimization Model ◽  
Capacity Constraints ◽  
Initial Attack ◽  
Planning Unit ◽  
Attack Modeling ◽  
Wildfire Suppression ◽  
Standard Response ◽  
Response Optimization ◽  
Fire Containment ◽  
Resource Deployment

We combine a scenario-based, standard-response optimization model with stochastic simulation to improve the efficiency of resource deployment for initial attack on wildland fires in three planning units in California. The optimization model minimizes the expected number of fires that do not receive a standard response — defined as the number of resources by type that must arrive at the fire within a specified time limit — subject to budget and station capacity constraints and uncertainty about the daily number and location of fires. We use the California Fire Economics Simulator to predict the number of fires not contained within initial attack modeling limits. Compared with the current deployment, the deployment obtained with optimization shifts resources from the planning unit with highest fire load to the planning unit with the highest standard response requirements but leaves simulated containment success unchanged. This result suggests that, under the current budget and capacity constraints, a range of deployments may perform equally well in terms of fire containment. Resource deployments that result from relaxing constraints on station capacity achieve greater containment success by encouraging consolidation of resources into stations with high dispatch frequency, thus increasing the probability of resource availability on high fire count days.

Scheduling fire-fighting tasks using the concept of "deteriorating jobs"

2006 ◽  
Vol 36 (3) ◽  
pp. 652-658 ◽  
Author(s):  
Nikos P Rachaniotis ◽  
Costas P Pappis
Keyword(s):  
Forest Fire ◽  
Fire Suppression ◽  
Deteriorating Jobs ◽  
Fire Fighting ◽  
Time Limit ◽  
Rate Of Spread ◽  
Value Loss ◽  
Fire Containment ◽  
In Fire

In fire fighting, the time and effort required to control a fire increase if the beginning of the fire containment effort is delayed. Several demand-covering models have been proposed for the deployment of available fire-fighting resources so that a forest fire is attacked within a specified time limit. This paper considers the problem of scheduling a single fire-fighting resource when there are several existing fires to be controlled using a model specific to the fire's rate of spread. The problem is tackled using the concept of deteriorating jobs, that is, the model represents increasing value loss as fires remain unsuppressed and increasing time for fire suppression.

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