Planning: FIRE-PLAN: Community Building Toward an Immersive Forest Network to Catalyze Wildland Fire Solutions and Training

规划：FIRE-PLAN：建立沉浸式森林网络的社区，以促进荒地火灾解决方案和培训

• 批准号: 2341120
• 负责人: Ilkay Altintas
• 金额: $ 19.97万
• 依托单位: University of California-San Diego
• 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: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2341120&HistoricalAwards=false
• 关键词: Planning; FIRE; PLAN; Community; Building

One way to proactively address the wildfire crisis is by increasing the resilience of our landscapes through vegetation treatments such as prescribed fires. The outcomes of a prescribed fire depend largely on fuel structure. Yet, many fire models currently are limited to two-dimensional sources of data, and also provide two-dimensional outputs that do not capture important fire dynamics. A key shift is underway in fire models and management: a shift from two-dimensional (2D) to three-dimensional (3D) fire modeling tools. This planning effort lays the foundation for sensing pathways and workflows to improve the characterization of fuels at large spatial extents and fine spatial scales to enhance the representation of fire in modeling and forecasting. Immersive visualizations of fuel and fire modeling will be shared at the World Design Capital 2024 Pavilion in San Diego, California. A series of meetings among a diverse set of stakeholders paves the way for real-time, immersive visualization of scientific data and the AI-readiness of these datasets toward new modes of training, decision making, and public communication related to wildland fire management, including prescribed fires. Overall, the project aims to: (1) identify current gaps in fuel structure representation in models, (2) prototype a workflow from field data collection to fuel and fire models to visualizations of modeling outputs, (3) build real-world use cases with diverse communities, and (4) plan for a national-scale Immersive Forest and Wildland Fire Management Network.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.

主动应对野火危机的一种方法是通过规定的火灾等植被处理来增加我们的景观的弹性。规定火灾的后果在很大程度上取决于燃料结构。然而，许多火灾模型目前仅限于二维数据源，并且还提供了不能捕捉重要火灾动态的二维输出。火灾模型和管理的一个关键转变正在发生：从二维(2D)火灾建模工具向三维(3D)火灾建模工具的转变。这一规划工作为改善燃料在大空间范围和精细空间尺度上的表征的传感路径和工作流程奠定了基础，以增强火灾在建模和预测中的代表性。燃料和火灾模型的身临其境的可视化将在加利福尼亚州圣地亚哥的世界设计之都2024展馆分享。不同利益相关者之间的一系列会议为科学数据的实时、身临其境的可视化以及这些数据集的人工智能准备工作铺平了道路，以实现与荒地火灾管理(包括规定的火灾)相关的培训、决策和公共沟通的新模式。总体而言，该项目的目标是：(1)确定目前在模型中燃料结构表示方面的差距，(2)建立从现场数据收集到燃料和火灾模型再到建模输出的可视化的工作流程的原型，(3)建立与不同社区的真实世界用例，以及(4)国家规模沉浸式森林和荒地火灾管理网络的计划。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。