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Probabilistic risk modeling at the wildland urban interface: the 2003 Cedar Fire

机译:荒地城市界面的概率风险建模:2003年雪松大火

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The October 2003 Cedar Fire in San Diego County was a tragedy involving 15 deaths, the burning of some 280 000 acres of land, the destruction of approximately 2227 homes, and costs of suppression near $30 million. It was the largest fire in California history. The data associated with the fire, however, do provide an opportunity to carry out probabilistic risk modeling of a wildland-urban interface (WUI) event. WUI's exist where humans and their development interface with wildland fuel. As home building expands from urban areas to nearby forest areas, these homes become more likely to burn.rnWildfires are an exceedingly complex phenomenon with uncertainty and unpredictability abounding, hence a statistical approach to gaining insight appears useful. In this research, spatial stochastic models are developed. These relate risk probabilities and losses measures to a variety of available explanatory quantities. There is a consideration of economic aspects and a discussion of the difficulties that arose in developing the data and of carrying out the analyses. Purposes of the work include highlighting a statistical method, developing variates associated with a destruction probability and employing the fitted risk probability to estimate future and possible losses.
机译:2003年10月,圣迭戈县的雪松大火造成了15人死亡,约28万英亩土地被烧,约2227所房屋被毁以及约3,000万美元的镇压费用。那是加州历史上最大的大火。但是,与大火相关的数据确实为进行野地-城市界面(WUI)事件的概率风险建模提供了机会。 WUI的存在是人类及其发展与野地燃料的接口。随着房屋建筑从城市地区扩展到附近的森林地区,这些房屋变得更容易燃烧。野火是一种极其复杂的现象,充满不确定性和不可预测性,因此,采用统计方法获得洞察力似乎很有用。在这项研究中,开发了空间随机模型。这些将风险概率和损失度量与各种可用的解释量相关联。需要考虑经济方面的问题,并讨论在开发数据和进行分析时遇到的困难。工作的目的包括突出统计方法,开发与破坏概率相关的变量,并使用拟合的风险概率来估计未来和可能的损失。

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