...
首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Mountains Forest Fire Spread Simulator Based on Geo-Cellular Automaton Combined With Wang Zhengfei Velocity Model
【24h】

Mountains Forest Fire Spread Simulator Based on Geo-Cellular Automaton Combined With Wang Zhengfei Velocity Model

机译:基于元胞自动机结合王正飞速度模型的山地森林火灾蔓延模拟

获取原文
获取原文并翻译 | 示例
           

摘要

The aim of this paper is to propose a more practical mountain fire spread model for fire behavior prediction and management in Southwest forest area of China. These areas are covered mainly with spatial heterogeneous flammable forest and are characterized by undulating terrain and steep slopes. This model can produce more accurate fire propagation maps by combining CA (Cellular Automaton) framework with Wang Zhengfei fire physical velocity model in fine scale. Considering the inherent uncertainties of fire propagation, the model has been built on multi-dimension geophysical and environmental components and also sound knowledge of fire spread physical mechanism. Regarding small fuel patches as spatial homogenous cells, this approach makes it easier to generate higher level complex fire behavior maps from CA simple local rules and local behavior integrated with high resolution vegetation images, fine scale terrain maps and surface wind field. Because the model focuses primarily on the study of surface fire front propagation behavior, it attempts to simplify complex fuel modeling. Additionally, this Wang-Geophysical-CA model is able to analyze the time series spatial pattern of fire-front spread and model local behavior instead of the final fire spread pattern of the conventional approach. In this work, not only single influence verification tests have been made, but also simulation tests with multiple influences are carried out to demonstrate the capability of the model with fine scale vegetation maps, surface wind field, terrain, moisture content and man-made structures.
机译:本文的目的是为中国西南林区火灾行为的预测和管理提出一个更实用的山区火灾蔓延模型。这些地区主要覆盖有空间异质易燃森林,并具有起伏的地形和陡峭的斜坡。通过将CA(Cellular Automaton)框架与王正飞火灾物理速度模型进行精细组合,该模型可以生成更准确的火灾传播图。考虑到火势蔓延的内在不确定性,该模型建立在多维地球物理和环境成分以及对火势蔓延物理机制的全面了解的基础上。将小块燃​​料视为空间均匀的单元格,此方法使根据CA简单的本地规则和与高分辨率植被图像,精细比例地形图和地表风场相集成的本地行为更容易生成更高级别的复杂火灾行为图。由于该模型主要关注地表火锋传播行为的研究,因此它试图简化复杂的燃料建模。另外,这种Wang-Geophysical-CA模型能够分析火锋蔓延的时间序列空间模式并模拟局部行为,而不是传统方法的最终火势蔓延模式。在这项工作中,不仅进行了一次影响力验证测试,而且还进行了具有多种影响力的仿真测试,以证明该模型具有精细比例的植被图,地表风场,地形,水分含量和人造结构的能力。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号