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强景观的恢复能力。规定火灾的结果很大程度上取决于燃料结构。然而，目前许多火灾模型仅限于二维数据源，并且还提供不捕获重要火灾动态的二维输出。火灾模型和管理正在发生重大转变：从二维 (2D) 火灾建模工具转向三维 (3D) 火灾建模工具。这项规划工作为传感路径和工作流程奠定了基础，以改善大空间范围和精细空间尺度上的燃料表征，从而增强建模和预测中火灾的表现。燃料和火灾模型的沉浸式可视化将在加利福尼亚州圣地亚哥的世界设计之都 2024 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、沉浸式可视化以及这些数据集的人工智能就绪性铺平了道路，以实现与荒地火灾管理相关的培训、决策和公共沟通的新模式，包括规定的火灾。总体而言，该项目的目标是：(1) 确定模型中燃料结构表示的当前差距，(2) 构建从现场数据收集到燃料和火灾模型再到建模输出可视化的工作流程原型，(3) 构建真实世界的用例与不同的社区合作，以及 (4) 规划全国范围的沉浸式森林和荒地火灾管理网络。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。