Integrating fire spread patterns in fire modelling at landscape scale

2016 ◽  
Vol 86 ◽  
pp. 219-231 ◽  
Author(s):  
Andrea Duane ◽  
Núria Aquilué ◽  
Assu Gil-Tena ◽  
Lluís Brotons
Author(s):  
Tomaz Hozjan ◽  
Kamila Kempna ◽  
Jan Smolka

Actual and future concerns in fire safety in buildings and infrastructure are challenging. Modern technologies provide rapid development in area of fire safety, especially in education, training, and fire-engineering. Modelling as a tool in fire-engineering provides possibility to design specific fire scenarios and investigate fire spread, smoke movement or evacuation of occupants from buildings. Development of emerging technologies and software provides higher possibility to apply these models with interactions of augmented and virtual reality. Augmented reality and virtual reality expand effectivity of training and preparedness of first (fire wardens) and second (firefighters) responders. Limitations such as financial demands, scale and scenarios of practical training of first and second responders are much lower than in virtual reality. These technologies provide great opportunities in preparedness to crisis in a safety way with significantly limited budget. Some of these systems are already developed and applied in safety and security area e.g. XVR (firefighting, medical service).


2020 ◽  
Vol 56 (5) ◽  
pp. 1937-1941
Author(s):  
Chin Ding Ang ◽  
Guillermo Rein ◽  
Joaquim Peiro
Keyword(s):  

2019 ◽  
Vol 28 (3) ◽  
pp. 205 ◽  
Author(s):  
Longyan Cai ◽  
Hong S. He ◽  
Yu Liang ◽  
Zhiwei Wu ◽  
Chao Huang

Fire propagation is inevitably affected by fuel-model parameters during wildfire simulations and the uncertainty of the fuel-model parameters makes forecasting accurate fire behaviour very difficult. In this study, three different methods (Morris screening, first-order analysis and the Monte Carlo method) were used to analyse the uncertainty of fuel-model parameters with FARSITE model. The results of the uncertainty analysis showed that only a few fuel-model parameters markedly influenced the uncertainty of the model outputs, and many of the fuel-model parameters had little or no effect. The fire-spread rate is the driving force behind the uncertainty of other fire behaviours. Thus, the highly uncertain fuel-model parameters associated with spread rate should be used cautiously in wildfire simulations. Monte Carlo results indicated that the relationship between model input and output was non-linear and neglecting fuel-model parameter uncertainty of the model would magnify fire behaviours. Additionally, fuel-model parameters have high input uncertainty. Therefore, fuel-model parameters must be calibrated against actual fires. The highly uncertain fuel-model parameters with high spatial-temporal variability consisted of fuel-bed depth, live-shrub loading and 1-h time-lag loading are preferentially chosen as parameters to calibrate several wildfires.


Fire ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 18 ◽  
Author(s):  
Ginny Marshall ◽  
Dan Thompson ◽  
Kerry Anderson ◽  
Brian Simpson ◽  
Rodman Linn ◽  
...  

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.


2013 ◽  
Vol 22 (7) ◽  
pp. 947 ◽  
Author(s):  
Katrin Lowe ◽  
J. Guy Castley ◽  
Jean-Marc Hero

Fire has varying effects on species ecology. Knowledge of amphibian responses to fire is particularly limited, with variable responses reported amongst studies. Variability is attributed to differences in fire regimes, sampling methodologies, historical exposure to fire and species traits. Acid frogs, a group of amphibians restricted to acidic coastal heath wetlands of eastern Australia, occupy a discrete ecological niche that is exposed to regular and intense fires. Visual encounter surveys conducted monthly over 2 years revealed different short- and long-term responses to fire in three threatened acid frog species (Litoria olongburensis, Litoria freycineti and Crinia tinnula). Fires altered the thermal properties of habitats by increasing substrate temperature and widening daily temperature ranges. Acid frog populations did not suffer adversely from moderate intensity fires as suitable refuges, including standing water, were available. All species were present shortly after fire with subsequent successful reproduction occurring once wetlands were sufficiently inundated. Time since fire was a strong predictor of landscape scale differences in average relative abundance of acid frogs, yet the relationships varied among species. This highlights the importance of assessing community-wide responses to fire at the landscape scale. The dynamic and adaptive responses observed within acid frog populations demonstrate substantial resilience to fire processes in these fire prone environments.


2014 ◽  
Vol 2 (9) ◽  
pp. 6201-6240 ◽  
Author(s):  
R. Jahdi ◽  
M. Salis ◽  
A. A. Darvishsefat ◽  
F. J. Alcasena Urdiroz ◽  
V. Etemad ◽  
...  

Abstract. Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where the simulators were originally developed. This study aims to calibrate FARSITE fire spread model considering a set of recent wildfires occurred in Northern Iran forests. Site specific fuel models in the study areas were selected by sampling the main natural vegetation type complexes and assigning standard fuel models. Overall, simulated fires presented reliable outputs that accurately replicated the observed fire perimeters and behavior. Standard fuel models of Scott and Burgan (2005) afforded better accuracy in the simulated fire perimeters than the standard fuel models of Anderson (1982). The best match between observed and modeled burned areas was observed on herbaceous type fuel models. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior in the study areas. This work represents a first step in the application of fire spread modeling on Northern Iran for wildfire risk monitoring and management.


2016 ◽  
Author(s):  
S. Hantson ◽  
A. Arneth ◽  
S. P. Harrison ◽  
D. I. Kelley ◽  
I. C. Prentice ◽  
...  

Abstract. Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, either using well-founded empirical relationships or process-based models with good predictive skill. A large variety of models exist today and it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project – FireMIP, an international project to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we summarise the current state-of-the-art in fire regime modelling and model evaluation, and outline what lessons may be learned from FireMIP.


Author(s):  
E. E. Tan ◽  
A. J. Vicente

Abstract. Fire disasters are common occurrences in the urban settlements of the Philippines. Concerned agencies like the Bureau of Fire Protection (BFP) and the Disaster and Risk Reduction Management Office (DRRMO) are constantly planning ways to prevent and mitigate fire disasters. The key to an effective plan against fire disaster is understanding how a potential fire can spread in a community. By combining both GIS and Probabilistic Cellular Automata (PCA), this paper solves the task of fire spread modeling and simulation. PCA is a model that consists of a regular grid of cells, whose cells are updated according to rules that take into account both the cell’s current state and the cell’s neighbors’ states. The model we developed factors in wind, building materials, and building density. The model was designed after several fires in major cities of Cebu, Philippines. An accuracy of 83.54% and a Cohen’s Kappa coefficient of 0.67 was achieved. Further, a web-based tool was developed to aid in fire disaster planning.


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