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WRF-Fire Applied in Bulgaria

  • Nina Dobrinkova
  • Georgi Jordanov
  • Jan Mandel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6046)

Abstract

WRF-Fire consists of the WRF (Weather Research and Forecasting Model) coupled with a fire spread model, based on the level-set method. We describe a preliminary application of WRF-Fire to a forest fire in Bulgaria, oportunities for research of forest fire models for Bulgaria, and plans for the development of an Environmental Decision Support Systems which includes computational modeling of fire behavior.

Keywords

Wildland fire modeling forest fires coupled atmosphere-fire modeling level-set method Decision Support System 

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References

  1. 1.
    Anderson, H.E.: Aids to determining fuel models for estimating fire behavior. USDA Forest Service, Intermountain Forest and Range Experiment Station, Research Report INT-122 (1982), http://www.fs.fed.us/rm/pubs_int/int_gtr122.html
  2. 2.
    Beezley, J.D.: How to run WRF-Fire with real data, http://www.openwfm.org/wiki/How_to_run_WRF-Fire_with_real_data (visited July 2010)
  3. 3.
    Clark, T.L., Coen, J., Latham, D.: Description of a coupled atmosphere-fire model. International Journal of Wildland Fire 13, 49–64 (2004)CrossRefGoogle Scholar
  4. 4.
    Coen, J.L.: Simulation of the Big Elk Fire using coupled atmosphere-fire modeling. International Journal of Wildland Fire 14, 49–59 (2005)CrossRefGoogle Scholar
  5. 5.
    Dobrinkova, N., Nedelchev, L.: PERUN – a system for early warning and simulation of forest fires and other natural or human-caused disasters. In: Adakin, E.E., Zakonnova, L.I., Vertchagina, I.Y., Dolganov, D.N. (eds.) Education and science. Kemerovskii State University, VII International Scientific Conference “Nauka i obrazovanie”, Belovo, Russia, March 14-15 (2008)Google Scholar
  6. 6.
    Editorial: Forest fires reach catastrophic scales (in Bulgarian). Ecopolis 48 (2001), http://www.bluelink.net/bg/bulletins/ecopolis12/1_os_1.htm
  7. 7.
    Finney, M.A., McHugh, C.W., Grenfell, I.C.: Stand- and landscape-level effects of prescribed burning on two Arizona wildfires. Canadian Journal of Forest Research – Revue Canadienne de Recherche Forestiere 35, 1714–1722 (2005)CrossRefGoogle Scholar
  8. 8.
    Mandel, J., Chen, M., Franca, L.P., Johns, C., Puhalskii, A., Coen, J.L., Douglas, C.C., Kremens, R., Vodacek, A., Zhao, W.: A note on dynamic data driven wildfire modeling. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 725–731. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    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)MathSciNetCrossRefGoogle Scholar
  10. 10.
    National Fire Safety and Civil Protection Service of Bulgaria: Statistics – Forest fires (in Bulgarian), http://www.nspbzn.mvr.bg/Sprav_informacia/Statistika/gorski.htm (visited July 2010)
  11. 11.
    Osher, S., Fedkiw, R.: Level set methods and dynamic implicit surfaces. Springer, New York (2003)CrossRefzbMATHGoogle Scholar
  12. 12.
    Patton, E.G., Coen, J.L.: WRF-Fire: A coupled atmosphere-fire module for WRF. In: Preprints of Joint MM5/Weather Research and Forecasting Model Users’ Workshop, Boulder, CO, June 22-25, pp. 221–223. NCAR (2004), http://www.mmm.ucar.edu/mm5/workshop/ws04/Session9/Patton_Edward.pdf
  13. 13.
    Sullivan, A.L.: A review of wildland fire spread modelling, 1990-present. International Journal of WildLand Fire 18, 347–403 (2009)Google Scholar
  14. 14.
    Wang, W., Bruyère, C., Duda, M., Dudhia, J., Gill, D., Lin, H.C., Michalakes, J., Rizvi, S., Zhang, X., Beezley, J.D., Coen, J.L., Mandel, J.: ARW version 3 modeling system user’s guide. Mesoscale & Miscroscale Meteorology Division, National Center for Atmospheric Research (July 2010), http://www.mmm.ucar.edu/wrf/users/docs/user_guide_V3/ARWUsersGuideV3.pdf
  15. 15.
    WRF Working Group: Weather Research Forecasting (WRF) Model, http://wrf-model.org (visited July 2010)

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Nina Dobrinkova
    • 1
  • Georgi Jordanov
    • 2
  • Jan Mandel
    • 3
  1. 1.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesBulgaria
  2. 2.Geophysical InstituteBulgarian Academy of SciencesBulgaria
  3. 3.Department of Mathematical and Statistical SciencesUniversity of Colorado DenverUSA

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