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Evaluating Crown Fire Rate of Spread Predictions from Physics-Based Models

C. M. Hoffman, J. Canfield, R. R. Linn, W. Mell, C. H. Sieg, F. Pimont, J. Ziegler
2015 Fire technology  
Detailed physics-based modeling approaches such as FIRETEC and the Wildland Urban Interface Fire Dynamics Simulator (WFDS) simulate fire behavior using computational fluid dynamics based methods to numerically  ...  Overall, 86% of all simulated ROS values using WFDS or FIRETEC fell within the 95% prediction interval of the empirical data, which was above the goal of 75% for dynamic ecological modeling.  ...  Fire Rate of Spread Predictions black spruce (Picea mariana) forest and a ponderosa pine (Pinus ponderosa) forest.  ... 
doi:10.1007/s10694-015-0500-3 fatcat:znyh3cs4jzhxnevdhqsgm5sv4i

DEVS-FIRE: Towards an Integrated Simulation Environment for Surface Wildfire Spread and Containment

Lewis Ntaimo, Xiaolin Hu, Yi Sun
2008 Simulation (San Diego, Calif.)  
In this paper, the authors present an integrated simulation environment for surface wildfire spread and containment called DEVS-FIRE.  ...  DEVS-FIRE is based on the discrete event system specification (DEVS) and uses a cellular space model for simulating wildfire spread and agent models for simulating wildfire containment.  ...  CNS-0540000 from the National Science Foundation under the Dynamic Data Driven Applications Systems (DDDAS) program.  ... 
doi:10.1177/0037549708094047 fatcat:eiz4rgb24ndghh3p5eenqax76q

Forest Fire Occurrence and Modeling in Southeastern Australia [chapter]

Shahriar Rahman, Hsing-Chung Chang, Christina Magill, Kerrie Tomkins, Warwick Hehir
2018 Forest Fire  
Forest fire is one of the major environmental disturbances for the Australian continent.  ...  Among the established fire models, PHOENIX Rapidfire predicts fire spread and facilitates loss and damage assessments as the model considers many environmental and social variables.  ...  Three-dimensional or complex physical fire models integrated with fluid dynamics concepts can help generating robust and factual experiments.  ... 
doi:10.5772/intechopen.76072 fatcat:w2d3s2tstzbprkf5aolxrizts4

Long-Term Impacts of Fuel Treatment Placement with Respect to Forest Cover Type on Potential Fire Behavior across a Mountainous Landscape

Seth A. Ex, Justin P. Ziegler, Wade T. Tinkham, Chad M. Hoffman
2019 Forests  
We investigated how the placement of treatments with respect to forest cover type affected the rate of spread, size, and prevalence of different fire types for simulated wildfires for 50 years after treatment  ...  This study investigated the potential effects of treatment placement with respect to cover type on the development of potential fire behavior over time for 48 km2 of forest in Colorado, USA.  ...  Following typology used by the Canadian Forest Fire Behavior Prediction System [52] , we classified fire behavior for grid cells as 'surface', 'active crown', or 'passive crown' according to whether crown  ... 
doi:10.3390/f10050438 fatcat:fxpjtyp7bbf3ppdfcekuzuxh74

Tools for Assessing the Impacts of Climate Variability and Change on Wildfire Regimes in Forests

Hety Herawati, José González-Olabarria, Arief Wijaya, Christopher Martius, Herry Purnomo, Rubeta Andriani
2015 Forests  
This review paper aims to identify tools and methods used for gathering information about the impacts of climate variability and change on forest fires, forest fuels and the probability of fires.  ...  José Ramón González-Olabarria contributed to the general framework and content, especially to the sections on remote sensing, vegetation simulation models, fire danger rating systems, and fire models.  ...  Aid) for the financial support of this study.  ... 
doi:10.3390/f6051476 fatcat:vjax54nokbgebp4hfnkggfrppm

Modeling thinning effects on fire behavior with STANDFIRE

Russell A. Parsons, Francois Pimont, Lucas Wells, Greg Cohn, W. Matt Jolly, Francois de Coligny, Eric Rigolot, Jean-Luc Dupuy, William Mell, Rodman R. Linn
2018 Annals of Forest Science  
These models dynamically simulate fire spread within a forest stand; in this context, individual tree attributes and spatial relationships play a key role in how fire interacts with the fuels.  ...  for crown fire spread.  ... 
doi:10.1007/s13595-017-0686-2 fatcat:eebnre4sgnbx7mtxqekbvlqo7a

Forest Fire Spread and Suppression in DEVS

Lewis Ntaimo, Bernard P. Zeigler, Maria J. Vasconcelos, Bithika Khargharia
2004 Simulation (San Diego, Calif.)  
This model represents an advance toward developing a real-time decision support simulation system for predicting forest fire spread and the effects of water-based suppression attempts.  ...  The eventbased modeling approach enables efficient simulation of cell space and allows one to obtain timely simulation-based predictions of forest fire spread and suppression in uniform and nonuniform  ...  However, once a forest fire has started, a real-time simulation system for accurately predicting where and how fast the fire will spread would assist at the "tactical" level to effectively bring it under  ... 
doi:10.1177/0037549704050918 fatcat:6fhx7kgcw5cpdbmbfghs2oooz4

Wildland surface fire spread modelling, 1990–2007. 3: Simulation and mathematical analogue models

Andrew L. Sullivan
2009 International journal of wildland fire  
This series of review papers endeavours to critically and comprehensively review all types of surface fire spread models developed since 1990.  ...  Mathematical analogue models are those that are based on some mathematical conceit (rather than a physical representation of fire spread) that coincidentally simulates the spread of fire.  ...  Rhodes and Anderson (1998) suggesting using the forest fire model as a model for the dynamics of disease epidemics.  ... 
doi:10.1071/wf06144 fatcat:uznmr43j5ze4bh7tmwprkxnst4

Fire potential rating for wildland fuelbeds using the Fuel Characteristic Classification SystemThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System

David V. Sandberg, Cynthia L. Riccardi, Mark D. Schaaf
2007 Canadian Journal of Forest Research  
The FCCS reports eight component fire potentials for every fuelbed, arranged in three categories: surface fire behaviour (reaction intensity, spread rate, and flame length), crown fire potential (torching  ...  The FCCS is equipped with a set of equations to calculate the potential of any realworld or simulated fuelbed to spread fire across the surface and in the crowns, and consume fuels.  ...  Acknowledgements We thank the Joint Fire Science Program, National Fire Plan, and the USDA Forest Service, Pacific Northwest Region and Pacific Northwest Research Station, for financial support.  ... 
doi:10.1139/x07-093 fatcat:pisfi5m7qvbvxki335pmxhl32i

Fire Behavior Prediction in Larch Forests of the Kazakhstan Altai

Aleksandra Volokitina, Andrey Kalachev, Mikhail Korets, Tatiana Sofronova
2021 Symmetry  
The developed fire simulation software helped not only identify inventory plots ready to burn, but also assess spread rate for fire parts dependent upon weather conditions, predict fire intensity and fire  ...  On the example of the Markakol Forestry area (Kazakhstan Altai), our fire growth simulation modeling system was adapted for predicting fire behavior in the mountain terrain.  ...  The task was set to adapt the Russian fire growth simulation modelling system for fire behavior modelling in larch forests of the Kazakhstan Altai.  ... 
doi:10.3390/sym13040578 fatcat:bwxw5qmj7vds7c2gfbm45aqeim

A Data-driven Model for Large Wildfire Behaviour Prediction in Europe

Dario Rodriguez-Aseretto, Daniele de Rigo, Margherita Di Leo, Ana Cortés, Jesús San-Miguel-Ayanz
2013 Procedia Computer Science  
The proposed mathematical framework is designed to simulate with an ensemble strategy the wildfire dynamics under given sequences of actions for controlling the fire spread and updated datadriven information  ...  It relies on an array-based and semantically enhanced (Semantic Array Programming) application of the Dynamic Data Driven Application Systems (DDDAS) concept, so as to predict spread of large fires at  ...  Static versus dynamic parameterisation of fire models Traditionally, forest fire models embrace three broad factors, called by some scientists the fire environment triangle, which are fuel, meteorology  ... 
doi:10.1016/j.procs.2013.05.355 fatcat:miqwd2o7m5gvnndrdxbt3uajve

WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model

Janice L. Coen, Marques Cameron, John Michalakes, Edward G. Patton, Philip J. Riggan, Kara M. Yedinak
2013 Journal of Applied Meteorology and Climatology  
The coupled model reproduced expected differences in fire shapes and heading-region fire intensity among grass, shrub, and forest-litter fuel types; reproduced the expected narrow, rapid spread in higher  ...  Near-surface winds from the atmospheric model are interpolated to a finer fire grid and are used, with fuel properties and local terrain gradients, to determine the fire's spread rate and direction.  ...  We thank Alan Norton of NCAR's Computational & Information Systems Laboratory (CISL) for help with visualizations using VAPOR.  ... 
doi:10.1175/jamc-d-12-023.1 fatcat:dngjq3lxwnhgza2vnnufr4phhy

Numerical simulation of surface forest fire in Brazilian Amazon

Paulo Bufacchi, Guenther C. Krieger, William Mell, Ernesto Alvarado, José Carlos Santos, João Andrade Carvalho
2016 Fire safety journal  
This paper investigates fire spread through surface fuels of the Brazilian Amazon by using a three-dimensional, fully transient, physics-based computer simulation approach.  ...  The model is able to capture the main effects of a surface forest fire typical of the Amazon, and can be used as a numerical tool for studying such fires.  ...  Conclusions A physics-based, transient, three-dimensional, coupled fireatmosphere numerical model for simulating fire spread through surface fuels on flat terrain was used and tested against measurements  ... 
doi:10.1016/j.firesaf.2015.11.014 fatcat:folzctgev5cebjt3d2zzgv7xby

Application of GIS Tools in Weldland Fire Modeling for South Bulgarian Test Cases

Nina Dobrinkova
2019 Scientific Annals of the Danube Delta Institute  
The data availability and the used tools to collect the missing pieces for simulations are described and visualized with pictures from the test simulations.  ...  The described test case is in south-central part of Bulgaria where the most fire-prone non-urban areas of the republic are.  ...  ACKNOWLEDGEMENTS Bulgarian National Science Fund project number DN 12/5 called: Efficient Stochastic Methods and Algorithms for Large-Scale Computational Problems.  ... 
doi:10.7427/ddi.24.26 doaj:9a426e3e48f74bf3b3356e5ffc75ad6c fatcat:5i6thmounbeavbdpr4lmjkt5ye

Integrating Fire Behavior Models and Geospatial Analysis for Wildland Fire Risk Assessment and Fuel Management Planning

Alan A. Ager, Nicole M. Vaillant, Mark A. Finney
2011 Journal of Combustion  
A number of fire behavior metrics, including fire spread, intensity, likelihood, and ecological risk must be analyzed for multiple treatment alternatives.  ...  This paper describes our efforts to build a streamlined fuel management planning and risk assessment framework, and an integrated system of tools for designing and testing fuel treatment programs on fire-prone  ...  Funding from the Joint Fire Science Program (03-4-1-04), and the US Forest Service Western Wildland Environmental Threat Assessment Center is gratefully acknowledged.  ... 
doi:10.1155/2011/572452 fatcat:jr5oszoi7rb2dcgcjbemlgksne
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