Computational Optimizations in wildland fires for Bulgarian test cases
Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 543–546 (2016)
Abstract. In this article we are going to present the optimizations that has been done through different types of modeling actions on wildland fires for Bulgarian test cases. We will present approaches where meteorological data along with terrain specific relief and vegetation coverage are modeled in a way to present credible scenarios for wildland propagation used for calibration purposes of the different approaches. This work aims to prove that the used modeling tools can be used also in real time decision support for the responsible authorities when it comes to wildland fire propagation and the measures corresponding to limitation of its devastating consequences for the nature and human lives.
- http://news.ibox.bg/news/id_1888536796 (In Bulgarian)
- Rothermel, R. C. (1972) A mathematical model for predicting fire spread in wildland fuels. Research Paper INT-115. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, pp. 1-40.
- 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 UsersWorkshop, Boulder, CO, June 2225. NCAR (2004) 221223 http://www.mmm.ucar.edu/mm5/workshop/ws04/Session9/PattonEdward.pdf.
- 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/pubsint/intgtr122.html.
- Dobrinkov G., Dobrinkova N., “Input Data Preparation for Fire Behavior Fuel Modeling of Bulgarian Test Cases (Main Focus on Zlatograd Test Case).”, 10th International Conference on "Large-Scale Scientific Computations" LSSC'15, Sozopol 8-12 June 2015, Lecture Notes in Computer Science 9374, ISSN 0302-9743, ISSN 1611-3349 (electronic), ISBN: 978-3-319-26519-3, http://dx.doi.org/10.1007/978-3-319-26520-9, Springer Germany, pp. 335–342, 2015.
- Dobrinkova N., Hollingsworth L., Heinsch F.A., Dillon G., Dobrinkov G., “Bulgarian fuel models developed for implementation in FARSITE simulations for test cases in Zlatograd area”. (E-proceeding: http://www.treesearch.fs.fed.us/pubs/46778) Wade DD & Fox RL (Eds), Robinson ML (Comp) (2014) ‘Proceedings of 4 th Fire Behavior and Fuels Conference’, 18-22 February 2013, Raleigh, NC and 1-4 July 2013, St. Petersburg, Russia. (International Association of Wildland Fire: Missoula, MT), p.513 - p.521.
- Dobrinkov G., Dobrinkova N., “Wildfire behavior modeling data preparation for FARSITE simulations in Bulgarian test cases”, 5 th International Conference on Cartography & GIS & Seminar with EU cooperation on Early Warning and Dissaster/Crisis Management 15-21 June 2014, Proceedings Vol.2, ISSN:1314-0604, 2014, Riviera, Bulgaria, p.763- p. 770.
- N. Dobrinkova, G. Dobrinkov, “Farsite and WRF-Fire models, Pros and Cons For Bulgarian Cases”, 9th International Conference on "Large-Scale Scientific Computations" LSSC'13, Sozopol 3-7 June 2013, Lecture Notes in Computer Science 8353, ISBN: 978-3-662-43879-4, Springer Germany, pp. 382–389, 2014.