Abstract
We use a coupled atmosphere-fire model to simulate a fire that occurred on August 14–17, 2009, in the Harmanli region, Bulgaria. Data was obtained from GIS and satellites imagery, and from standard atmospheric data sources. Fuel data was classified in the 13 Anderson categories. For correct fire behavior, the spatial resolution of the models needed to be fine enough to resolve the essential micrometeorological effects. The simulation results are compared to available incident data. The code runs faster than real time on a cluster. The model is available from openwfm.org and it extends WRF-Fire from WRF 3.3 release.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anderson, H.E.: Aids to determining fuel models for estimating fire behavior. General Technical Report INT-122, US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station (1982), http://www.fs.fed.us/rm/pubs_int/int_gtr122.html
Clark, T.L., Coen, J., Latham, D.: Description of a coupled atmosphere-fire model. International Journal of Wildland Fire 13, 49–64 (2004)
Clark, T.L., Jenkins, M.A., Coen, J., Packham, D.: A coupled atmospheric-fire model: Convective feedback on fire line dynamics. J. Appl. Meteor. 35, 875–901 (1996)
Dobrinkova, N., Jordanov, G., Mandel, J.: WRF-Fire Applied in Bulgaria. In: Dimov, I., Dimova, S., Kolkovska, N. (eds.) NMA 2010. LNCS, vol. 6046, pp. 133–140. Springer, Heidelberg (2011)
Mandel, J., Beezley, J.D., Coen, J.L., Kim, M.: Data assimilation for wildland fires: Ensemble Kalman filters in coupled atmosphere-surface models. IEEE Control Systems Magazine 29, 47–65 (2009)
Mandel, J., Beezley, J.D., Kochanski, A.K.: Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011. Geoscientific Model Development 4, 591–610 (2011)
Mandel, J., Beezley, J.D., Kondratenko, V.Y.: Fast Fourier transform ensemble Kalman filter with application to a coupled atmosphere-wildland fire model. In: Gil-Lafuente, A.M., Merigo, J.M. (eds.) Computational Intelligence in Business and Economics, Proceedings of MS 2010, pp. 777–784. World Scientific (2010), also available as arXiv:1001.1588
Rothermel, R.C.: A mathematical model for predicting fire spread in wildland fires. USDA Forest Service Research Paper INT-115 (1972), http://www.treesearch.fs.fed.us/pubs/32533
Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.Y., Wang, W., Powers, J.G.: A description of the Advanced Research WRF version 3. NCAR Technical Note 475 (2008), http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jordanov, G., Beezley, J.D., Dobrinkova, N., Kochanski, A.K., Mandel, J., Sousedík, B. (2012). Simulation of the 2009 Harmanli Fire (Bulgaria). In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2011. Lecture Notes in Computer Science, vol 7116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29843-1_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-29843-1_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29842-4
Online ISBN: 978-3-642-29843-1
eBook Packages: Computer ScienceComputer Science (R0)