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PREEVENTS Track 2: Fire Spread at the Wildland-Urban Interface (WUI) Modeling and Data Assimilation for Prediction and Risk assessment (WUI MAPR)

PREEVENTS Track 2: Fire Spread at the Wildland-Urban Interface (WUI) Modeling and Data Assimilation for Prediction and Risk assessment (WUI MAPR)
预防轨道 2:荒地与城市交界处的火灾蔓延 (WUI) 用于预测和风险评估的建模和数据同化 (WUI MAPR)
批准号:
1854952
负责人:
Arnaud Trouve
金额:
$137.77万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2024-06-30

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中文摘要
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英文摘要
Large wildland fires threaten communities at the margins of wildlands and the urban environment. For example, the Northern California wildland fires in October 2017 destroyed over 8900 structures and killed 44 civilians with projected losses exceeding $9.4 billion. The rate of destruction from these types of fires has increased over the last decade. The investigators will use numerical models to simulate the spread of wildland fires into communities. They will test these models using data from the National Institute for Standards and Technology (NIST) and the California Department of Forest and Fire Protection (CalFIRE). The findings will be shared with the research community, federal incident managers, local community planners, and the public. The project will encourage people to engage in wildland fire research through outreach events and undergraduate research opportunities. The investigators will promote international collaboration by presenting their results at international meetings, such as the European Geophysical Union (EGU), the International Symposium on Combustion (Adelaide, Australia, 2020) and International Symposium on Fire Safety Science (Waterloo, Canada, 2020).This project will model brands or embers and how they contribute to the spread of fires at the Wildland-Urban Interface. This is a challenging research problem because there are different fuels, different types of brands, winds, and the pile up of brands in specific locations. The research plan is to modify an existing stochastic wildland fire model (FIREFLY) using information synthesized from the recent literature. The investigators will examine observational data of fire perimeters and observed fire spread, and use these observations to validate model improvements. The improved predictive capability of the FIREFLY model could be useful in society for planning and emergency response during real fire events.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.
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Towards a collaborative research infrastructure for fundamental studies of turbulent fire phenomena
GOALI: Towards Predicting Fire Suppression Performance: Quantifying Fire-Spray Interactions
Collaborative Research: Petascale Computing, Visualization, and Science Discovery of Turbulent Sooting Flames
  • 批准号:
    0904480
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.25万
  • 财政年份:
    2009
  • 负责人:
    Arnaud Trouve
  • 依托单位:
A National Science Foundation - Workshop on Cyber-Based Combustion Science
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