4.4 Article

Modelling and optimisation of extinction actions for wildfire suppression

Related references

Note: Only part of the references are listed.
Article Thermodynamics

A hybrid stochastic Lagrangian-cellular automata framework for modelling fire propagation in inhomogeneous terrains

Epaminondas Mastorakos et al.

Summary: This article proposes a new stochastic model to simulate the propagation of fires, which combines the Lagrangian transported probability density function method for turbulent reacting flows and the cellular automata approach for forest fires. Unlike conventional cellular automata models for fires, the ignition of cells in this model is determined by a random walk that mimics turbulent convection and diffusion of hot gases and firebrands from upwind and neighboring fire fronts. The model aims to approximate the key physics while speeding up computation by using only a few terrain-related inputs and tunable parameters.

PROCEEDINGS OF THE COMBUSTION INSTITUTE (2023)

Article Engineering, Civil

Simulation of the December 2021 Marshall fire with a hybrid stochastic Lagrangian-cellular automata model

Georgios Efstathiou et al.

Summary: A stochastic model combining cellular automata approach and random walk method was developed to simulate the Marshall fire in Colorado in December 2021. Information on burning duration and ignition delay time for firebrand emission was distilled from literature profiles of burning wooden houses. Satellite images and in-person inspection provided information on vegetation, housing structures, and model parameters. The model predicted the extent and time evolution of the fire reasonably well, and a parametric analysis identified sensitivity and areas for improvement. The low computational cost and ease of operation make the proposed framework suitable for operational decision-making and damage assessment.

FIRE SAFETY JOURNAL (2023)

Article Biodiversity Conservation

Have western USA fire suppression and megafire active management approaches become a contemporary Sisyphus?

Dominick A. DellaSala et al.

Summary: Fire suppression policies and active management in response to wildfires have negative impacts on ecosystems and the climate crisis, and should be limited and reformed. Reducing greenhouse gas emissions, protecting carbon stores, and using minimum suppression tactics when fire is not threatening towns are important measures to address the root cause of recent fire increases.

BIOLOGICAL CONSERVATION (2022)

Article Computer Science, Interdisciplinary Applications

Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting

Sibo Cheng et al.

Summary: Large and catastrophic wildfires have been increasing globally, emphasizing the importance of simulating and forecasting fire dynamics in real-time. In this study, a novel data-model integration scheme combining Reduced-order modelling, recurrent neural networks, data assimilation, and error covariance tuning is developed and tested for fire progression forecasting. The results show improved forecasting accuracy and efficiency.

JOURNAL OF COMPUTATIONAL PHYSICS (2022)

Article Engineering, Industrial

The state of wildfire and bushfire science: Temporal trends, research divisions and knowledge gaps

Milad Haghani et al.

Summary: Along with the increase in the frequency of disastrous wildfires and bushfires around the world, scholarly research efforts in this field have also intensified. This study investigates the divisions and trends of wildfire/bushfire research and finds that the field has been growing exponentially. The research domain is multidisciplinary, with divisions focused on forest ecology, fire detection technology, community risk mitigation, soil and water ecology, and atmospheric science. Popular topics within the field include climate change and fire activities, fire risk modeling/mapping, wildfire impact on organic matter, biomass burning, and human health impacts.

SAFETY SCIENCE (2022)

Article Engineering, Industrial

The simulation of wildland-urban interface fire evacuation: The WUI-NITY platform

Jonathan Wahlqvist et al.

Summary: WUI-NITY is a modelling platform built on the Unity3D game engine, which simulates and visualizes human behavior and wildfire spread during evacuations of wildland-urban interface communities. Its purpose is to enhance situational awareness of responders and residents during evacuation scenarios.

SAFETY SCIENCE (2021)

Article Thermodynamics

Low-order modeling of high-altitude relight of jet engine combustors

Pedro M. de Oliveira et al.

Summary: A physics-based, low-order ignition model is used to assess the ignition performance of a kerosene-fueled gas-turbine combustor under high-altitude relight conditions. The effects of large droplets arising from poor fuel atomization at sub-idle conditions are then investigated in the context of the model parameters and the combustor's ignition behavior. Overall, a lower ignition probability is obtained when using the stochastic procedure for the spray due to additional detrimental effects associated with poor spray atomization and high polydispersity.

INTERNATIONAL JOURNAL OF SPRAY AND COMBUSTION DYNAMICS (2021)

Article Medicine, General & Internal

Wildfires, Global Climate Change, and Human Health

Rongbin Xu et al.

NEW ENGLAND JOURNAL OF MEDICINE (2020)

Article Engineering, Civil

Firefighter tenability and its influence on wildfire suppression

G. Penney et al.

FIRE SAFETY JOURNAL (2019)

Article Computer Science, Interdisciplinary Applications

A spatial optimization model for resource allocation for wildfire suppression and resident evacuation

Siqiong Zhou et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

Article Forestry

Inside the Inferno: Fundamental Processes of Wildland Fire Behaviour

Andrew L. Sullivan

CURRENT FORESTRY REPORTS (2017)

Article Management

A spatial optimisation model for multi-period landscape level fuel management to mitigate wildfire impacts

James P. Minas et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2014)