Multiscale and Data-Driven Simulation of Wildfires for the Protection of Rural Communities Worldwide

多尺度、数据驱动的野火模拟，保护全球农村社区

• 批准号: 2734736
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2734736
• 关键词: Multiscale; Data; Driven; Simulation; Wildfires

The aim of this proposal is to advance the understanding and computational simulation of wildfires spread across scales, from the burning of grass and trees to megafires. This will be achieved through the combination of data-driven simulation approaches, latest flame spread theory, and artificial intelligence. The results will boost prediction skills of wildfire, risk quantification for rural communities worldwide, and inform the emergency response.

这项提议的目的是促进对野火蔓延的理解和计算模拟，从烧毁草地和树木到巨型大火。这将通过结合数据驱动的模拟方法、最新的火焰传播理论和人工智能来实现。这一结果将提高野火的预测技能，为全球农村社区的风险量化提供信息，并为应急响应提供信息。