Advertisement

MkBGFire Software – An Example of Game Modelling of Forest Fires in Bulgaria

  • Olympia RoevaEmail author
  • Peter Vassilev
  • Nikolay Ikonomov
  • Pencho Marinov
  • Dafina Zoteva
  • Vassia Atanassova
  • Hristo Tsakov
Conference paper
  • 10 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1081)

Abstract

In this paper we present a preliminary version of a new software MkBGFire which is being developed for forest fire spread simulations specific to Bulgarian vegetation. The MkBGFire software is based on the paradigm of the game method for modelling. The game method for modelling is a variant of cellular automata modelling, and similar approaches have gained popularity in the last decade due to the ease of use and their relative simplicity. In particular, they use either square or hexagonal grid. The software presented here is based on a mathematical model and both approaches, vector models and cellular automata models, are implemented. The MkBGFire software uses the OpenGL technology for 2D and 3D visualization of the cells of the game model. Implemented in the preliminary version of the MkBGFire are the following parameters: for the size of the forest cells and the type of the cells – hexagon and square; for control of the speed and the angle of the wind, which is currently constant for the whole terrain; some advanced parameters for control of the fire model. We illustrate the feasibility of the software with some examples using different cell types, forest layouts and wind conditions.

Keywords

Game method for modelling Software Visualization 

Notes

Acknowledgments

This work was supported by the Bulgarian National Science Fund Project DN16/6, 2017 “Integrated approach for modeling of the forest fires spread”.

References

  1. 1.
    Atanassov, K.: Game Method for Modelling. Prof. Marin Drinov Academic Publishing House, Sofia (2011)Google Scholar
  2. 2.
    Atanassova, L., Atanassov, K.: On a game-method for modelling with intuitionistic fuzzy estimations: part 1. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds.) Large-Scale Scientific Computing, pp. 182–189. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  3. 3.
    Encinas, L.H., White, S.H., Del Rey, A.M., Sánchez, G.R.: Modelling forest fire spread using hexagonal cellular automata. Appl. Math. Model. 31(6), 1213–1227 (2007)CrossRefGoogle Scholar
  4. 4.
    Fidanova, S., Marinov, P.: Field fire simulation applying hexagonal game method. In: Dimitrov, V., Georgiev, V. (eds.) Proceedings of the 7th International Conference on Information Systems and Grid Technologies, pp. 201–209 (2013)Google Scholar
  5. 5.
    Fidanova, S., Marinov, P.: The impact of slope on fire spread simulation. Environ. Eng. Manag. J. 15(3), 505–510 (2016)CrossRefGoogle Scholar
  6. 6.
    Pastor, E., Zárate, L., Planas, E., Arnaldos, J.: Mathematical models and calculation systems for the study of wildland fire behaviour. Prog. Energy Combust. Sci. 29(2), 139–153 (2003)CrossRefGoogle Scholar
  7. 7.
    Sotirova, E., Bureva, V., Velizarova, E., Fidanova, S., Marinov, P., Shannon, A., Atanassov, K.: Hexagonal game method model of forest fire spread with intuitionistic fuzzy estimations. Notes Intuitionistic Fuzzy Sets 19(3), 73–80 (2013)Google Scholar
  8. 8.
    Sotirova, E., Velizarova, E., Fidanova, S., Atanassov, K.: Modeling forest fire spread through a game method for modeling based on hexagonal cells. In: Large-Scale Scientific Computing. Lecture Notes in Computer Science, vol. 8353, pp. 321–328 (2014)Google Scholar
  9. 9.
    Sotirova, E., Bureva, V., Velizarova, E., Fidanova, S., Marinov, P., Shannon, A., Atanassov, K.: Modelling forest fire spread through a game method for modelling based on hexagonal cells with intuitionistic fuzzy estimations. Notes Intuitionistic Fuzzy Sets 19(3), 73–80 (2013)Google Scholar
  10. 10.
    Xuehua, W., Chang, L., Jiaqi, L., Xuezhi, Q., Ning, W., Wenjun, Z.: A cellular automata model for forest fire spreading simulation. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–6. IEEE (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Olympia Roeva
    • 1
    Email author
  • Peter Vassilev
    • 1
  • Nikolay Ikonomov
    • 2
  • Pencho Marinov
    • 3
  • Dafina Zoteva
    • 1
  • Vassia Atanassova
    • 1
  • Hristo Tsakov
    • 4
  1. 1.Institute of Biophysics and Biomedical EngineeringBulgarian Academy of SciencesSofiaBulgaria
  2. 2.Institute of Mathematics and InformaticsBulgarian Academy of SciencesSofiaBulgaria
  3. 3.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria
  4. 4.Forest Research InstituteBulgarian Academy of SciencesSofiaBulgaria

Personalised recommendations