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Data Optimizations on Kresna Fire (2017) as Inputs for WFA Simulations

机译:Kresna Fire(2017)的数据优化作为WFA模拟的输入

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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.
机译:在过去的三十年中,保加利亚面临着强度越来越高,再次发生的可能性更高的野火。对国家的官方分析显示,在2005-2015年期间,保加利亚的平均每年烧毁面积为11,000公顷。受影响最严重的地区是该国的西南和东南部地区,布拉戈耶夫格勒,斯塔拉·扎戈拉,哈斯科沃和布尔加斯地区位于该地区。我们将在本文中提出的火灾位于布拉戈耶夫格勒地区西南保加利亚的克雷斯纳峡谷地区。该火在2017年8月24日至29日之间活跃起来,燃烧了1600公顷。选择它是为了将其模拟为第一次在Wildfire Analyst(WFA)工具中实现的保加利亚案例。 WFA是适用于后期火灾或实时火灾传播分析的基于计算机的决策支持系统。这种火灾模拟数据的准备方式是,将来的用户可以优化他们的初步步骤,并直接在WFA工具中应用决策支持方法。

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