Wind Field Uncertainty in Forest Fire Propagation Prediction

Sanjuan, Gemma Calbo; Brun, Carlos; Margalef, Tomás; Cortés, Ana

doi:10.1016/j.procs.2014.05.139

Cited by 20 publications

(12 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Note that the data describing a real-life scenario of a forest fire are usually characterized by a high level of uncertainty [14]. Moreover, there are input parameters with spatiotemporal dependencies, which leads to less exact predictive estimates.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, there are input parameters with spatiotemporal dependencies, which leads to less exact predictive estimates. In [14], it is proposed to combine a model of propagating a forest fire with a stochastic model of wind with a view to overcoming uncertainty and increasing accuracy. In this case, the wind fields predicted by meteorological models are used to take into account effects of the direction and wind velocity depending on the topography of a landscape.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the wind fields predicted by meteorological models are used to take into account effects of the direction and wind velocity depending on the topography of a landscape. In [14], the WindNinja complex [15,16] is used as a wind simulator. To solve the resource capacity problem, it is offered to divide solution domains and to independently carry out calculations for each subdomain [14].…”

Section: Introductionmentioning

confidence: 99%

“…In [14], the WindNinja complex [15,16] is used as a wind simulator. To solve the resource capacity problem, it is offered to divide solution domains and to independently carry out calculations for each subdomain [14]. However, this leads to definite problems connected with boundary effects that are additional causes of uncertainty.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Algorithms for Parallelizing a Mathematical Model of Forest Fires on Supercomputers and Theoretical Estimates for the Efficiency of Parallel Programs

Baranovskiy

2015

Cybern Syst Anal

View full text Add to dashboard Cite

The author develops algorithms of parallel implementation of a mathematical model of forest fires to model processes of their occurrence, development, and propagation taking into account physical and chemical processes. Approaches to parallel implementation and schemes of decomposition of solution domains for two-dimensional cases are proposed. Coarse-grained parallelization methods are proposed to be used in the SPMD model of calculations. Formulas are given that make it possible to theoretically estimate the efficiency of parallel programs.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Algorithms for Parallelizing a Mathematical Model of Forest Fires on Supercomputers and Theoretical Estimates for the Efficiency of Parallel Programs

Baranovskiy

2015

Cybern Syst Anal

View full text Add to dashboard Cite

show abstract

“…Sabe-se que variáveis climáticas como pluviosidade, velocidade dos ventos, temperatura e umidade relativa do ar estão intrinsecamente relacionadas ao problema (WHITE; RIBEIRO, 2011;SANJUAN et al, 2014;WHITE et al, 2016a). Entretanto, variáveis como quantidade de biomassa disponível, nível de compactação, teor de umidade, relevo, entre outras, também exercem influência na propagação dos incêndios florestais (ROTHERMEL, 1972;SOARES;BATISTA, 2007;WHITE et al, 2016a).…”

unclassified

Avaliação E Simulação Do Comportamento Do Fogo Em Diferentes Fitofisionomias De Uma Área De Mata Atlântica Do Nordeste Brasileiro

White

Oliveira

Ribeiro

2017

View full text Add to dashboard Cite

ResumoIncêndios florestais constituem um dos maiores problemas ambientais do mundo moderno. Eles podem reduzir a biodiversidade, contribuir com a emissão de gases do efeito estufa e alterar as propriedades químicas e físicas do solo. Em busca de novos conhecimentos que auxiliem os trabalhos de prevenção e combate aos incêndios, novos estudos vêm sendo desenvolvidos baseando-se na modelagem do comportamento do fogo. O objetivo deste trabalho foi avaliar parâmetros como velocidade de propagação do fogo, comprimento das chamas e consumo do material combustível em diferentes fitofisionomias presentes no Refúgio de Vida Silvestre Mata do Junco, Capela, Sergipe, Brasil. Para tal, foram coletadas amostras de material combustível superficial que foram levadas ao laboratório para realização de 45 queimas experimentais. Os dados obtidos em laboratório foram comparados às simulações realizadas pelos softwares Eucalyptus Fire Safety System e BehavePlus buscando-se avaliar a eficiência dos mesmos. Foram observadas diferenças significativas nos parâmetros do comportamento do fogo entre os ambientes selecionados para o estudo. Nas fitofisionomias de bambuzal e vegetação regenerante, o fogo apresentou maior velocidade de propagação e comprimento das chamas quando comparado com as áreas de mata fechada. O consumo do material combustível foi maior nos bambuzais. Em relação aos softwares utilizados, houveram diferenças significativas entre os valores reais e os simulados por ambos. Os resultados obtidos demostram a necessidade de se construir ou ajustar modelos matemáticos que estimem com maior eficiência o comportamento do fogo a fim de se auxiliar os trabalhos de prevenção e combate. Palavras-chave: Incêndios florestais; BehavePlus; Eucalyptus Fire Safety System. Abstract Evaluation and Simulation of Fire Behavior in Different Vegetation Types in an Atlantic Forest Area of Northeast Brazil.Wildfires are one of the most important environmental problems of the modern world. They represent a threat to the preservation of biodiversity, increase the release of greenhouse gases and change the chemical and physical properties of the soil. The knowledge of how the fire will behave can be used to assist fire prevention and suppression activities, that is why new studies have been done trying to describe and model fire behavior parameters. The aim of this work was to evaluate parameters such as rate of spread, flame length and fuel consumption in different vegetation types from the Mata do Junco Wildlife Refuge, Capela, Sergipe, Brazil. For this purpose, surface fuel load samples were collected in different vegetation types and brought to the laboratory to perform 45 experimental burns. The data from the burns were compared with simulations done in the software Eucalyptus Fire Safety System and BehavePlus in order to assess their efficiency. Significant differences in the fire behavior parameters was verified in the three different vegetation types. In the bamboo fields and regenerating vegetation, the fire had higher rate of spread and f...

show abstract

Wind Field Parallelization Based on Python Multiprocessing to Reduce Forest Fire Propagation Prediction Uncertainty

Sanjuan

Margalef

Cortés

2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Wind Field Uncertainty in Forest Fire Propagation Prediction

Cited by 20 publications

References 5 publications

Algorithms for Parallelizing a Mathematical Model of Forest Fires on Supercomputers and Theoretical Estimates for the Efficiency of Parallel Programs

Algorithms for Parallelizing a Mathematical Model of Forest Fires on Supercomputers and Theoretical Estimates for the Efficiency of Parallel Programs

Avaliação E Simulação Do Comportamento Do Fogo Em Diferentes Fitofisionomias De Uma Área De Mata Atlântica Do Nordeste Brasileiro

Wind Field Parallelization Based on Python Multiprocessing to Reduce Forest Fire Propagation Prediction Uncertainty

Contact Info

Product

Resources

About