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Between classical and ideal: enhancing wildland fire prediction using cluster computing

Baker Abdalhaq, Ana Cortés, Tomàs Margalef, Germán Bianchini, Emilio Luque
2006 Cluster Computing  
In order to accelerate the fire prediction, this enhanced prediction scheme has been developed in a fashion on a Linux cluster using MPI.  ...  We propose going one step beyond the classical wildland fire prediction by linking evolutionary optimization strategies to the traditional scheme with the aim of emulating an "ideal" fire propagation model  ...  Classical wildland fire prediction We used the laboratory fires described above to compare the prediction results provided by classical prediction with respect to the proposed enhanced prediction method  ... 
doi:10.1007/s10586-006-9745-4 fatcat:id2perdstbe73f4ox6k6xrunmm

Regimes of Dry Convection above Wildfires: Idealized Numerical Simulations and Dimensional Analysis*

Michael T. Kiefer, Matthew D. Parker, Joseph J. Charney
2009 Journal of the Atmospheric Sciences  
This study uses the Advanced Regional Prediction System (ARPS) model to investigate the impact of the environmental (i.e., far upstream, undisturbed by fire) wind profile on dry convection above a prescribed  ...  fire.  ...  Computing was performed on the NCSU PAMS Linux cluster and the Army Research Laboratory Linux cluster (MJM). APPENDIX Definition of Scales  ... 
doi:10.1175/2008jas2896.1 fatcat:c2b6zaqgardibcl5s7dp5mczlq

Coupled fire–atmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS

Nathan Dahl, Haidong Xue, Xiaolin Hu, Ming Xue
2015 Natural Hazards  
This article introduces a new wildland fire spread prediction system consisting of the raster-based Discrete Event System Specification Fire model (DEVS-FIRE) and the Advanced Regional Prediction System  ...  Keywords Discrete event specification Á Moore Branch Fire Introduction Accurate prediction of wildland fire behavior is essential for ensuring firefighter safety and optimizing firefighting resource management  ...  Acknowledgments This work was accomplished under NSF Grants CNS-0941432, CNS-0941491, and CNS-0940134 and made extensive use of the Gordon, Sooner, and Kraken supercomputing clusters.  ... 
doi:10.1007/s11069-015-1640-y fatcat:zbql5y3sfrhgrinpb3fn4ijyei

Development and Evaluation of a Reynolds-Averaged Navier–Stokes Solver in WindNinja for Operational Wildland Fire Applications

Wagenbrenner, Forthofer, Page, Butler
2019 Atmosphere  
WindNinja is widely used by wildland fire managers, as well as researchers and practitioners in other fields, such as wind energy, wind erosion, and search and rescue.  ...  predicted speed-up at ridgetop locations between the two solvers, and (2) the choice of discretization scheme for advection has a significantly larger effect on the simulated winds than the choice of  ...  Interagency Wildland Fire response teams, including the Wildland Fire Decision Support System [3] and FlamMap [4] , and is also regularly used as a stand-alone model by both fire managers and on-the-ground  ... 
doi:10.3390/atmos10110672 fatcat:grknm4utrvhwjbvldrrihsovk4

Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning

David Radke, Daniel Radke, John Radke
2020 Remote Sensing  
Y-NET's architecture uses convolutional layers to learn correlations between different input features and vegetation height, generating an accurate vegetation surface model (VSM) at 1×1 m resolution.  ...  While these methods provide high resolution and accuracy, their hardware and collection effort prohibits highly recurrent and widespread collection.  ...  We would like to acknowledge the editor and reviewers for their valuable and constructive comments which helped us improve our manuscript.  ... 
doi:10.3390/rs12223797 fatcat:pg6so7ogmzbpha5hwh76gpxkbi

Smoke consequences of new wildfire regimes driven by climate change

Donald McKenzie, Uma Shankar, Robert E. Keane, E. Natasha Stavros, Warren E. Heilman, Douglas G. Fox, Allen C. Riebau
2014 Earth's Future  
Smoke from wildfires has adverse biological and social consequences, and various lines of evidence suggest that smoke concentrations in the future may be more intense, more frequent, more widespread, or  ...  We present relevant details of each component of the system, offer suggestions for the elements of a modeling agenda, and give some general guidelines for making choices among potential components.  ...  For example, the classic fire-behavior algorithm (Rothermel 1972) built from laboratory experiments has been used in DGVMs to predict fire area and fire effects at regional scales and monthly time steps  ... 
doi:10.1002/2013ef000180 fatcat:2me2xcyagvfhhg5hgcgm7s4v6a

Places where wildfire potential and social vulnerability coincide in the coterminous United States

Gabriel Wigtil, Roger B. Hammer, Jeffrey D. Kline, Miranda H. Mockrin, Susan I. Stewart, Daniel Roper, Volker C. Radeloff
2016 International journal of wildland fire  
We developed a social vulnerability index using principal component analysis and evaluated it against existing measures of wildfire potential and wildland-urban interface designations.  ...  We evaluated place vulnerability to wildfire hazards in the coterminous US.  ...  Special thanks are owed to two anonymous reviewers for their insightful advice and suggestions.  ... 
doi:10.1071/wf15109 fatcat:oe2brex6bvctxbhodaerrv4jtm

Overview of the Meso-NH model version 5.4 and its applications

Christine Lac, Jean-Pierre Chaboureau, Valéry Masson, Jean-Pierre Pinty, Pierre Tulet, Juan Escobar, Maud Leriche, Christelle Barthe, Benjamin Aouizerats, Clotilde Augros, Pierre Aumond, Franck Auguste (+49 others)
2018 Geoscientific Model Development  
In addition, Meso-NH has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires,  ...  Here, we present the main innovations to the dynamics and physics of the code since the pioneer paper of Lafore et al. (1998) and provide an overview of recent applications and couplings.</p>  ...  Computer resources were allocated by GENCI (project 0569). 46 Geosci. Model Dev. Discuss., https://doi.org /10.5194/gmd-2017-297 Manuscript under review for journal Geosci. Model Dev.  ... 
doi:10.5194/gmd-11-1929-2018 fatcat:dbs4d5jjqrc4vfyjc7xphycqdm

Overview of the Meso-NH model version 5.4 and its applications

Christine Lac, Jean-Pierre Chaboureau, Valéry Masson, Jean-Pierre Pinty, Pierre Tulet, Juan Escobar, Maud Leriche, Christelle Barthe, Benjamin Aouizerats, Clotilde Augros, Pierre Aumond, Franck Auguste (+50 others)
2018 Geoscientific Model Development Discussions  
In addition, Meso-NH has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires,  ...  Here, we present the main innovations to the dynamics and physics of the code since the pioneer paper of Lafore et al. (1998) and provide an overview of recent applications and couplings.  ...  Computer resources were allocated by GENCI (project 0569). 46 Geosci. Model Dev. Discuss., https://doi.org /10.5194/gmd-2017-297 Manuscript under review for journal Geosci. Model Dev.  ... 
doi:10.5194/gmd-2017-297 fatcat:hr5lbvtaevcwboiyt4f62qujra

Timing of fire relative to seed development may enable non-serotinous species to recolonize from the aerial seed banks of fire-killed trees

S. T. Michaletz, E. A. Johnson, W. E. Mell, D. F. Greene
2013 Biogeosciences  
To estimate survival of seeds within closed cones during crown fires, cone heating was simulated using a one-dimensional conduction model implemented in a three-dimensional computational fluid dynamics  ...  To quantify the area burned when germinable seed would be contained within closed cones during a mast year, empirical fire occurrence and seed development (germinability and cone opening) data were compared  ...  ), and the International Association of Wildland Fire.  ... 
doi:10.5194/bg-10-5061-2013 fatcat:2nswa64g4rcvxmrxz3whr4oaym

Forest Fuel Drying, Pyrolysis and Ignition Processes during Forest Fire: A Review

Nikolay Viktorovich Baranovskiy, Viktoriya Andreevna Kirienko
2022 Processes  
Forest fire prediction is one of the most effective ways to solve this urgent issue.  ...  Modern prediction systems need to be developed in order to increase the quality of prediction; therefore, it is necessary to generalize knowledge about the processes occurring during a fire.  ...  It is shown that parallel computations on multiprocessor computing systems can be used in this case.  ... 
doi:10.3390/pr10010089 fatcat:4z4f6jhx7ng4nnh47mjtsqt2sm

Control of spatio-temporal pattern formation governed by geometrical models of interface evolution

Adrian Bouaru, Daniel Coca
2014 2014 European Control Conference (ECC)  
Following this, a novel model-based approach for controlling the evolving complex-shaped fire front using a level-set formulation of the model is presented.  ...  A study of the control method in both two and three dimensions is provided, using both linear and non-linear interface dynamics, to demonstrate the effectiveness of the proposed method.  ...  Historically, there are several established approaches to managing the load of wildland fires (Martell, 2001) , such as fuel management, fire prediction and prevention or fire detection.  ... 
doi:10.1109/ecc.2014.6862521 fatcat:t6betidyrrgtzf7adhapbwpk6i

An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting

Athanasios Tsipis, Asterios Papamichail, Ioannis Angelis, George Koufoudakis, Georgios Tsoumanis, Konstantinos Oikonomou
2020 Energies  
Extensive experimentation verified its efficiency and reported on its alertness and highly conforming characteristics considering the use-case scenario of Corfu Island's 2019 fire risk severity.  ...  To address the ever-increasing demands for real-time monitoring and sufficiently handle the growing volumes of raw data, the cloud/fog computing paradigm is deemed a highly promising solution.  ...  With that said, it is possible to estimate the lifetime, by computing the average energy consumption per router/sink for the different fire risk degrees (using past observations), so as to predict the  ... 
doi:10.3390/en13143693 fatcat:zuf6vuiaubbs7ex3ifsi2c64vm

An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features

Rabeb Kaabi, Moez Bouchouicha, Aymen Mouelhi, Mounir Sayadi, Eric Moreau
2020 Electronics  
Smoke detection plays an important role in forest safety warning systems and fire prevention.  ...  Our proposed method is able to classify and localize reliably the smoke regions providing an interesting computation time and improved performance metrics.  ...  is implemented on real-time devices for wildland forest fire detection.  ... 
doi:10.3390/electronics9091390 fatcat:3mqgp243ejgojfhrkggtvrqj4m

Ecological Econophysics for Degrowth

Salvador Pueyo
2014 Sustainability  
A fundamental limit will be encountered if, as suggested by the physics of complexity, long-lasting complex systems always occur midway between an ordered and a disordered state.  ...  Ecological econophysics gives clues to identifying alternative economic systems that would also function between order and chaos, but which would have radically different implications for environmental  ...  Acknowledgments I am grateful to Laura Blanco Grau and Ester Conesa Carpintero for useful comments, to two anonymous reviewers for being so open-minded, to Ramon Margalef and Joan Martínez Alier, because  ... 
doi:10.3390/su6063431 fatcat:b4kzsrnxijfffkvppvrljoryka
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