Planning: FIRE-PLAN: Planning Megafire Research Across Scales and Disciplines

规划：FIRE-PLAN：规划跨规模和学科的特大火灾研究

• 批准号: 2326499
• 负责人: Craig Clements
• 金额: $ 19.82万
• 依托单位: San Jose State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2326499&HistoricalAwards=false
• 关键词: Planning; FIRE; PLAN; Megafire; Research

Wildfires are a growing hazard in the United States and around the world as population growth, land-use practices, and climate change all contribute to a heightened level of risk. The most extreme wildfires are known as Megafires. Megafires devastate a large area and push through the resiliency thresholds of most ecosystems, communities, and societies. Megafires leave little time for safe civilian evacuation and expose continental scale areas to hazardous levels of smoke for days to weeks. This award will bring together individuals representing research, health, emergency management, and fire professionals in a series of three workshops to define the highest priority wildfire research that will result in improvements to public safety, human health, and economic security.Three workshops, two to be held in San Jose, California and the other in Worchester, Massachusetts, will bring together 30-40 interdisciplinary participants from communities such as meteorology, engineering, fire safety, community resilience, and human health. A moderator/facilitator with team-science training will help lead productive and inclusive discussions over the two-day workshops. The themes of the workshops are:Workshop 1: Measuring Megafires for extreme fire behavior research.Workshop 2: Community Scale Resilience to Extreme Fire – New Tools and Needed Data.Workshop 3: Develop the requirements for a National Model Prediction Test Bed.The initial products from the workshops will include three published whitepapers on: (1) designing a comprehensive field campaign to monitor and observe Megafire processes across scales of time, length, and energy; (2) developing a roadmap to provide tools to support community-scale resilience by leveraging what is known about differential community needs during a wildfire event as well as the limitations of data and models from participant expertise, and (3) developing the requirements for a National Model Prediction Test Bed on Megafires that includes end-user needs and perspectives.This award is being co-funded across various programs at NSF, including: Physical and Dynamic Meteorology in GEO/AGS, Combustion and Fire Systems in ENG/CBET, Engineering for Civil Infrastructure and Humans, Disasters, and the Built Environment in ENG/CMMI, and Human-Environment and Geographical Sciences in SBE/BCS.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着人口增长，土地利用做法和气候变化，野火在美国和世界各地都日益增长，均导致风险升高。最极端的野火被称为大火。巨速毁了一个大面积，并推动大多数生态系统，社区和社会的弹性阈值。巨型铁没有时间进行安全的平民撤离，并将连续的规模面积暴露于几天到几周的危险水平上。 This award will bring together individuals representing research, health, emergency management, and fire professionals in a series of three workshops to define the highest priority wildfire research that will result in improvements to public safety, human health, and economic security.Three workshops, two to be held in San Jose, California and the other in Worchester, Massachusetts, will bring together 30-40 interdisciplinary participants from communities such as meteorology, engineering, fire safety, community韧性和人类健康。通过团队科学培训进行的主持人/主持人将有助于在为期两天的研讨会上进行富有成效和包容性的讨论。研讨会的主题是：研讨会1：测量极端火灾行为研究的大型巨型。工作室2：社区规模对极端火灾的韧性 - 新工具和所需的数据。工作室3：为国家模型预测床提供要求。工作坊的初始产品的初始产品将包括：（1）在：（1）跨越范围的范围内的范围内，并在：（1）设计量表，并在：（1）设计量表，并在：（1）设计量表和观察量表，并观察到量表，并观察到量表，并观察到量表，并观察到了量表，并在范围内进行了量表。 （2）开发一个路线图，通过利用野火事件期间对差异社区需求的了解以及参与者专业知识的数据和模型的局限性来提供支持社区规模的应变能力，（3）在包括最终的user和Persective的巨型奖励中，为National Model Model预测床开发了各种计划。 GEO/AGS, Combustion and Fire Systems in ENG/CBET, Engineering for Civil Infrastructure and Humans, Disasters, and the Built Environment in ENG/CMMI, and Human-Environment and Geographical Sciences in SBE/BCS.This award reflects NSF's statutory mission and has been deemed honestly of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.