火灾传播实时可视化

M. Denham, Sigfrido Waidelich, K. Laneri
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引用次数: 4

摘要

我们的动机来自于需要一个专门的计算工具来模拟和预测森林火灾的蔓延,阿根廷巴塔哥尼亚的消防员正在使用这个工具。基于图形处理单元(graphics Processing Units, GPU)在本地区拟合和模拟火灾的研究成果,我们开发了一个用于火灾传播实时计算、模拟和预测的可视化界面。我们有可能改变栅格地图层的集合,以改变火灾传播的区域。可视化平台运行在gpu上,用户可以旋转和缩放景观以选择最佳的火灾传播视图。不同层的不透明度可以由用户调节,可以同时看到下面的植被、风向和强度的火势传播。还可以由用户选择着火点,并且可以在模拟进行时绘制防火线。在gpu中并行执行大量随机模拟后,应用程序显示根据给定单元燃烧的概率着色的最终火灾表面的地图。通过这种方式,用户可以直观地识别出火灾传播的最关键方向,这是一个有用的信息,可以用于灭火优化资源,这在资源稀缺的情况下尤其重要,就像我们巴塔哥尼亚地区的情况一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fire propagation visualization in real time
Our motivation comes from the need of a tailored computational tool for simulation and prediction of forest fire propagation, to be used by firefighters in Patagonia, Argentina. Based on previous works on Graphic Processing Units (GPU) for fitting and simulating fires in our region, we developed a visualization interface for real time computing, simulation and prediction of fire propagation. We have the possibility of changing the ensemble of raster maps layers to change the region in which fire will propagate.The visualization platform runs on GPUs and the user can rotate and zoom the landscape to select the optimal view of fire propagation. Opacity of different layers can be regulated by the user, allowing to see fire propagation at the same time that underlying vegetation, wind direction and intensity. The ignition point can also be selected by the user, and firebreaks can be plotted while simulation is going on.After the performance of a high number of stochastic simulations in parallel in GPUs, the application shows a map of the final fire surface colored according to the probability that a given cell burns. In this way the user can visually identify the most critical direction for fire propagation, a useful information to stop fire optimizing resources, which is specially important when they are scarce like is the case of our Patagonia region.
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