AccelNet-Design: iFireNet: An international network of networks for prediction and management of wildland fires

AccelNet-Design:iFireNet:用于预测和管理荒地火灾的国际网络

基本信息

  • 批准号:
    2114740
  • 负责人:
  • 金额:
    $ 25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

Changes in temperature and rainfall patterns, increasingly complex wildland-urban interfaces, and human-induced land-use changes have led to unprecedented, enhanced wildfire activities across the world. This design project, iFireNet, will connect clusters of expertise nationally and internationally to accelerate interdisciplinary actionable research on wildfires among academia, agencies, non-profit organizations and stakeholders. The drivers of wildfire behavior are local in nature, yet there are predictive models and management practices that can be applied in different geographic settings. iFireNet will act as a catalyst to integrate the scientific expertise and unique facilities and resources from the U.S., Australia, Canada, Netherlands, and the United Kingdom to address knowledge gaps in the science, engineering, as well as management aspects of wildfires. The international coordination of wildfire researchers will advance capacities to predict and manage wildland fires, thereby minimizing damage to life, nature, and property. This network of networks will bring an approach currently missing in the wildfire research community that is needed to advance understanding of wildfire behavior, integrated fire risk management, design of prescribed fires, canopy-to-landscape scale forest disturbance, and fire-weather/climate coupling. iFireNet will create (1) synergy among complementary experiments in different geographical settings, (2) a standardized protocol to collect, interpret and share data from these experiments, (3) the basis of model intercomparisons in the context of multi-fidelity fire modeling, (4) a protocol for benchmarking wildfire simulations across multiple scales, and (5) a unified training module that adapts the best practices of local knowledge, yet can be translated in the international setting. The iFireNet web portal will host state-of-the-art predictive models, a comprehensive global database of protocols and standards for multiscale fire experiments, a catalogue of equipment, infrastructure and models, and a knowledge platform providing mentors, collaborators, training tools and opportunities for students and practitioners. iFireNet will train the next generation of wildland fire managers and scientists through the organization of student exchange programs, summer schools, conference chapters and joint mentoring of graduate and professional students. It is envisioned that the diversity of expertise and cross-disciplinary collaborations across academic researchers, federal agencies, non-profit organizations and industries of the participating countries will help solve some of the long-standing questions in the science of wildland fires.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.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.
温度和降雨模式的变化,越来越复杂的荒野界面以及人类引起的土地利用变化导致了世界上空前的,增强的野火活动。 该设计项目Ifirenet将在国内和国际上连接专业知识群,以加快学术界,机构,非营利组织和利益相关者之间对野火的跨学科行动研究。 野火行为的驱动因素本质上是局部的,但是有一些预测模型和管理实践可以在不同的地理环境中应用。 Ifirenet将充当催化剂,以整合美国,澳大利亚,加拿大,荷兰和英国的科学专业知识和独特的设施和资源,以解决科学,工程以及野火管理方面的知识差距。 野火研究人员的国际协调将提高能力,以预测和管理野外大火,从而最大程度地减少对生命,自然和财产的损害。该网络网络将带来野火研究社区中目前缺少的一种方法,以提高人们对野火行为的了解,综合的火灾风险管理,规定的火灾设计,面具到地面景观规模的森林干扰以及火山/气候耦合。 IFIRENET将在不同地理环境中的互补实验之间创建(1)在这些实验中收集,解释和共享数据的标准化协议,((3)模型相对于多保体火灾建模的背景下的模型培训的基础,(4)(4)跨越多个范围的范围训练的范围,该协议是在多个范围内训练的范围,该阶段可以训练一个统一的范围,该阶段的模拟是统一的,该模型构成了(5),该模型构成了一个统一的(5),该模型构成了一个统一的(5),该模型构成了一个统一的,该模型既可以统一,并且sop the Insip a pos in a Adifor the Insif the Insif a in local over(5)在国际环境中翻译。 Ifirenet Web门户将托管最先进的预测模型,这是一个全面的全球数据库,用于多尺度消防实验的协议和标准,设备,基础设施和模型的目录,以及一个知识平台,为学生和实践者提供了导师,合作者,培训工具和机会。 Ifirenet将通过组织学生交流计划,暑期学校,会议章节以及研究生和专业学生的共同指导来培训下一代野外消防经理和科学家。 It is envisioned that the diversity of expertise and cross-disciplinary collaborations across academic researchers, federal agencies, non-profit organizations and industries of the participating countries will help solve some of the long-standing questions in the science of wildland fires.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. Accelnet计划支持美国研究网络和国外互补网络之间的战略联系,这些联系将利用研究和教育资源来应对需要重大协调的国际努力的宏伟科学挑战。该奖项反映了NSF的法定使命,并认为通过使用该基金会的智力和更广泛的影响来评估CRITERIA的评估。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Historical spatiotemporal changes in fire danger potential across biomes
生物群落潜在火灾危险的历史时空变化
  • DOI:
    10.1016/j.scitotenv.2023.161954
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Baijnath-Rodino, Janine A.;Le, Phong V.V.;Foufoula-Georgiou, Efi;Banerjee, Tirtha
  • 通讯作者:
    Banerjee, Tirtha
Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations
  • DOI:
    10.1016/j.foreco.2023.121142
  • 发表时间:
    2023-09
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    J. Baijnath-Rodino;Alexandre Martinez;R. York;E. Foufoula‐Georgiou;A. Aghakouchak;T. Banerjee
  • 通讯作者:
    J. Baijnath-Rodino;Alexandre Martinez;R. York;E. Foufoula‐Georgiou;A. Aghakouchak;T. Banerjee
Historical seasonal changes in prescribed burn windows in California
加利福尼亚州规定燃烧窗口的历史季节变化
  • DOI:
    10.1016/j.scitotenv.2022.155723
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Baijnath-Rodino, Janine A.;Li, Shu;Martinez, Alexandre;Kumar, Mukesh;Quinn-Davidson, Lenya N.;York, Robert A.;Banerjee, Tirtha
  • 通讯作者:
    Banerjee, Tirtha
Examining the existing definitions of wildland‐urban interface for California
检查加州荒地与城市界面的现有定义
  • DOI:
    10.1002/ecs2.4306
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Kumar, Mukesh;Li, Shu;Nguyen, Phu;Banerjee, Tirtha
  • 通讯作者:
    Banerjee, Tirtha
Revisiting “bursts” in wall-bounded turbulent flows
  • DOI:
    10.1103/physrevfluids.8.044606
  • 发表时间:
    2023-01
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    S. Chowdhuri;T. Banerjee
  • 通讯作者:
    S. Chowdhuri;T. Banerjee
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Tirtha Banerjee其他文献

Quantifying small-scale anisotropy in turbulent flows
量化湍流中的小尺度各向异性
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    S. Chowdhuri;Tirtha Banerjee
  • 通讯作者:
    Tirtha Banerjee

Tirtha Banerjee的其他文献

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{{ truncateString('Tirtha Banerjee', 18)}}的其他基金

Collaborative Research: Planning: FIRE-PLAN: Advancing Wildland Fire Analytics for Actuarial Applications and Beyond
协作研究:规划:FIRE-PLAN:推进荒地火灾分析的精算应用及其他领域
  • 批准号:
    2335847
  • 财政年份:
    2023
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
ECO-CBET: Collaborative Research: Effect of surface-fuel attributes and forest-thinning patterns on wildfire, carbon storage, and advancing forest restoration
ECO-CBET:合作研究:地表燃料属性和森林间伐模式对野火、碳储存和推进森林恢复的影响
  • 批准号:
    2318718
  • 财政年份:
    2023
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CAREER: CONIFER: Role of Canopy Turbulence in Wildland Fire Behavior
职业:针叶树:树冠湍流在荒地火灾行为中的作用
  • 批准号:
    2146520
  • 财政年份:
    2022
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant

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