I-Corps: Context-specific scientific simulation models to mitigate wildfire risks
I-Corps: Context-specific scientific simulation models to mitigate wildfire risks
批准号:
2228128
负责人:
Kenichi Soga
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-07-01 至 2023-06-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The broader impact/commercial potential of this I-Corps project is the potential development of dynamic and community-oriented wildfire preparedness solutions for the Wildland-Urban Interface (WUI) areas, which constitute a third of US households. Current wildfire evacuation plans rely heavily on static zoning and often lack a regional or system-level perspective. These plans fall short when it comes to understanding and addressing practical challenges, such as the unpredictability of the wildfire progression, the general lack of awareness/collaboration by the residents, and the difficulty in communication and resource mobilization in emergency situations. By incorporating the dynamic elements as well as community efforts in the planning process, the proposed solution (software and service) aims at supporting government agencies at various jurisdiction levels (e.g., fire department, planning department, and offices of emergency services) in potentially safeguarding the WUI residents’ safety and properties, as well as possibly creating positive community images. Private sector companies such as insurance providers or large resorts also may benefit from the proposed solution to develop better services/products for their customers and increase company returns. Once validated in the wildfire sector, the proposed solution may be used to mitigate the losses of other natural disasters, such as hurricanes and earthquakes. This I-Corps project is based on the development of two core innovations: a suite of scientific simulation models that capture the holistic process of wildfire evacuations, as well as an advanced visualization platform that stimulates awareness-raising and bottom-up collaborations through hands-on experiences. On the modeling side, the integrated simulation framework captures the dynamics in wildfire evacuation through the inclusion of the wildfire progression, the organizational communication flow, and traffic evacuation sub-modules. The models are developed to be efficient and highly scalable, which helps to identify the evacuation bottlenecks beyond the boundary limits of a small jurisdiction or a single infrastructure type. On the visualization side, the results from the simulation module are converted to 3D animations, including the fire flames, traffic congestion, and communication disruptions. The simulation-visualization procedure enables endless scenarios to be generated and presented to the users, effectively facilitating the enhancements of the residents’ situational awareness and ensuring smoother two-way communications between the local community members and the wildfire management experts. The models and visualizations have been prototyped at various case study locations, showing the potential of possible improved preparedness through scientific and social innovations.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
PFI-RP: Fiber Optic Sensing System for Smart Infrastructure Monitoring
-
批准号:2234542
-
项目类别:Standard Grant
-
资助金额:$54.71万
-
财政年份:2023
-
负责人:Kenichi Soga
-
依托单位:
SCC-IRG Track 1 Designing Smart, Sustainable Risk Reduction in Hazard-Prone Communities: Modeling Risk Across Scales of Time and Space
-
批准号:2230636
-
项目类别:Standard Grant
-
资助金额:$250.0万
-
财政年份:2022
-
负责人:Kenichi Soga
-
依托单位:
SitS NSF-UKRI: Collaborative Research: Dynamic Coupling of Soil Structure and Gas Fluxes Measured with Distributed Sensor Systems: Implications for Carbon Modeling
-
批准号:1935551
-
项目类别:Standard Grant
-
资助金额:$45.0万
-
财政年份:2020
-
负责人:Kenichi Soga
-
依托单位:
CMMI-EPSRC: Modeling and Monitoring of Urban Underground Climate Change (MUC2)
-
批准号:1903296
-
项目类别:Standard Grant
-
资助金额:$55.0万
-
财政年份:2019
-
负责人:Kenichi Soga
-
依托单位:
I-Corps: Dynamic Distributed Fiber Optic Sensor System
-
批准号:1931704
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2019
-
负责人:Kenichi Soga
-
依托单位:
EAGER: Deformation Induced Soil Fracturing - Multi-Scale Multi-Physics Mechanism and Early Detection
-
批准号:1741042
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2017
-
负责人:Kenichi Soga
-
依托单位:
Commercialisation of Smart Foundation System
-
批准号:EP/H007423/1
-
项目类别:Research Grant
-
资助金额:$11.28万
-
财政年份:2010
-
负责人:Kenichi Soga
-
依托单位:
Smart Foundations with Distributed Fibre Optics Technology
-
批准号:EP/D040000/1
-
项目类别:Research Grant
-
资助金额:$35.84万
-
财政年份:2006
-
负责人:Kenichi Soga
-
依托单位:
UK-US workshop on Bio-Soil Interactions and Engineering
-
批准号:EP/E031935/1
-
项目类别:Research Grant
-
资助金额:$3.94万
-
财政年份:2006
-
负责人:Kenichi Soga
-
依托单位:
Smart Infrastructure: Wireless sensor network system for condition assessment and monitoring of infrastructure
-
批准号:EP/D076870/1
-
项目类别:Research Grant
-
资助金额:$100.69万
-
财政年份:2006
-
负责人:Kenichi Soga
-
依托单位:
Micro-Measurement and Monitoring System for Ageing Underground Infrastructures (Underground M3)
-
批准号:EP/E003338/1
-
项目类别:Research Grant
-
资助金额:$56.3万
-
财政年份:2006
-
负责人:Kenichi Soga
-
依托单位:
国内基金
海外基金
基于Context建模的基因组数据压缩研究
-
批准号:61861045
-
项目类别:地区科学基金项目
-
资助金额:35.0万元
-
批准年份:2018
-
负责人:陈建华
-
依托单位:
Focus+Context支持的群集三维对象变形可视化
-
批准号:41671381
-
项目类别:面上项目
-
资助金额:65.0万元
-
批准年份:2016
-
负责人:应申
-
依托单位:
基于Context建模的熵编码及其应用研究
-
批准号:61062005
-
项目类别:地区科学基金项目
-
资助金额:22.0万元
-
批准年份:2010
-
负责人:陈建华
-
依托单位: