Abstract
Bulgaria is facing wildfires with increased intensity and high reoccurrence probability through years in the last three decades. Official analyses of the state presented that the burned areas in Bulgaria are 11,000 ha as average per year in the period 2005–2015. The most affected zones are in south-west and south-east parts of the country, where the regions of Blagoevgrad, Stara Zagora, Haskovo and Burgas are located. The fire which we will present in our paper is situated in the area of Kresna Gorge in south-west Bulgaria, Blagoevgrad region. The fire was active between 24–29 August 2017 and burned 1600 ha. It has been selected in order to be simulated as a first time Bulgarian case implemented in the Wildfire Analyst (WFA) tool. WFA is computer based decision support system applicable for post fire or real time fire propagation analysis. This fire simulation data has been prepared in a way that future users can optimize their preliminary steps and directly apply the decision support methods in WFA tool.
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Acknowledgements
This work has been partially supported by Bulgarian National Science Fund project number DN 12/5 called: Efficient Stochastic Methods and Algorithms for Large-Scale Problems and the Interreg Balkan-Mediterranean project “Drought and fire observatory and early warning system—DISARM”.
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Dobrinkova, N. (2020). Data Optimizations on Kresna Fire (2017) as Inputs for WFA Simulations. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. Studies in Computational Intelligence, vol 838. Springer, Cham. https://doi.org/10.1007/978-3-030-22723-4_3
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DOI: https://doi.org/10.1007/978-3-030-22723-4_3
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