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MRI: Development of a Shared-Use Experimental Platform to Study Wind, Hydrodynamic, and Biochemical Conditions in the Littoral Zone During Extreme Coastal Storms

MRI: Development of a Shared-Use Experimental Platform to Study Wind, Hydrodynamic, and Biochemical Conditions in the Littoral Zone During Extreme Coastal Storms
MRI:开发共享实验平台来研究极端沿海风暴期间沿海地区的风、水动力和生化条件
批准号:
2215297
负责人:
Brian Phillips
金额:
$98.17万
依托单位:
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:
未结题
起止时间:
2022-08-15 至 2025-07-31

项目摘要

项目成果

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中文摘要
翻译
该主要研究仪器(MRI)奖支持仪器平台的开发,用于研究飓风期间沿海地区的风、流体动力学和生化条件。最先进的监测站将用于临时安装,以监测极端风、风暴潮、海浪、海滩侵蚀和危险的水质条件。减少沿海灾害造成的生命和财产损失是国家的当务之急。登陆时对风和水的直接测量将帮助工程师设计出具有成本效益的抗风暴社区。数据和视频将与研究人员、业务小组、媒体机构、商业伙伴以及当地反应和恢复实体共享。通过与佛罗里达大学nsf赞助的自然灾害工程研究基础设施(NHERI)实验设施的合作,将在培训、推广和招聘方面产生更广泛的影响。NHERI协调全面的K-12教师专业发展培训计划,涵盖工程设计,探究和设计思维。将利用该工具的视频、数据和分析,开发有关飓风登陆和建设韧性海岸线重要性的内容。这次核磁共振成像的目标是填补热带气旋(飓风)在沿海地区(沿海水域与陆地相遇的地方)从水域向陆地过渡时沿海地区长期以来的观测空白。便携式监测站队(称为“哨兵”)将在登陆前不久安装,以确保理想的位置;能够抵抗极端的风、风暴潮和水动力载荷;并将持续传输实时,高保真测量和视频馈送。哨兵号将提供一个多功能的测试平台,以满足研究人员对沿海基础设施的风和水动力载荷、边界层气象学、数值天气预报、海气相互作用、地面风和波场遥感、风暴潮和浅波行为、海岸形态动力学、生物地球化学等方面的不同需求。许多nsf支持的设施和研究项目将受益于复合的、同步的数据集,这些数据集量化了风速、水深、波高/方向、侵蚀以及与热带气旋相关的水质变化。这些数据将有助于为极端风暴提供更完整的气候记录,并加速旨在改进风、风暴潮和波浪对民用/沿海基础设施影响的表征、对近岸水陆系统影响的预测、水质监测以及通过数值天气预报和遥感估计地面风强度的研究。设计、仪器选择和部署策略将由一个由风能、海岸和环境工程专家组成的多学科咨询小组指导;生态学;大气科学;和海洋学。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Major Research Instrumentation (MRI) award supports the development of an instrumentation platform to study wind, hydrodynamic, and biochemical conditions in coastal areas during hurricanes. State-of-the-art monitoring stations will be engineered for temporary installation to monitor extreme wind, storm surge, waves, beach erosion, and hazardous water quality conditions. Reducing the loss of life and property from coastal hazards is a national imperative. The direct measurements of wind and water at landfall will help engineers design cost-effective storm-resilient communities. Data and video will be shared with researchers, operational groups, media outlets, commercial partners, and local response and recovery entities. Broader impacts on training, outreach, and recruiting will be achieved through collaboration with the University of Florida’s NSF-sponsored Natural Hazards Engineering Research Infrastructure (NHERI) Experimental Facility. NHERI coordinates a comprehensive K-12 teacher professional development training program covering engineering design, inquiry, and design thinking. Content will be developed on landfalling hurricanes and the importance of building resilient coastlines by leveraging video, data, and analysis from this instrument.The goal of this MRI is to fill in a longstanding observational gap at the coast as tropical cyclones (hurricanes) transition from water to land in the littoral zone — where coastal waters meet the land. The fleet of portable monitoring stations (called “Sentinels”) will be installed shortly before landfall to ensure ideal placement; will resist extreme wind, storm surge, and hydrodynamic loads; and will continuously transmit live, high-fidelity measurements and video feeds. Sentinels will provide a versatile testbed to meet the diverse needs of researchers studying wind and hydrodynamic loading of coastal infrastructure, boundary layer meteorology, numerical weather prediction, air-sea interaction, remote sensing of surface wind and wave fields, storm surge and shallow wave behavior, coastal morphodynamics, biogeochemistry, among others. Numerous NSF-supported facilities and research projects will benefit from composite, synchronized datasets that quantify wind speed, water depth, wave height/direction, erosion, and changes in water quality associated with tropical cyclones. The data will help produce a more complete climate record for extreme storms and accelerate research directed at improving the characterization of wind, storm surge, and wave impacts to civil/coastal infrastructure, prediction of impacts to the nearshore water-land system, water quality monitoring, and estimation of surface wind intensity through numerical weather prediction and remote sensing. Design, instrumentation selection, and deployment strategies will be guided by a multi-disciplinary advisory group consisting of experts in wind, coastal, and environmental engineering; ecology; atmospheric science; and oceanography.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(1)
专著(0)
科研奖励(0)
会议论文
An Experimental Platform to Study Wind, Hydrodynamic, and Biochemical Conditions in the Littoral Zone During Extreme Coastal Storms
研究极端沿海风暴期间沿海地区风、水动力和生化条件的实验平台
DOI: 10.5670/oceanog.2023.s1.19
发表时间: 2023
期刊: Oceanography
影响因子: 2.8
作者: [Phillips, Brian, Masters, Forrest, Raubenheimer, Britt, Olabarrieta, Maitane, Morrison, Elise, Fernández-Cabán, Pedro, Ferraro, Christopher, Davis, Justin, Rawlinson, Taylor, Rodgers, Michael]
通讯作者: Rodgers, Michael
Collaborative Research: Aerodynamic Shape Optimization of Tall Buildings using Automated Cyber-Physical Testing
  • 批准号:
    2028762
  • 项目类别:
    Standard Grant
  • 资助金额:
    $53.09万
  • 财政年份:
    2021
  • 负责人:
    Brian Phillips
  • 依托单位:
Cyber-Physical Systems Approach to the Optimal Design of Structures for Wind Hazards
  • 批准号:
    1636039
  • 项目类别:
    Standard Grant
  • 资助金额:
    $51.89万
  • 财政年份:
    2016
  • 负责人:
    Brian Phillips
  • 依托单位:
US-Japan Planning Visit for Complementary Experimental Programs Toward Validated Advanced Damping Systems
  • 批准号:
    1444160
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.88万
  • 财政年份:
    2015
  • 负责人:
    Brian Phillips
  • 依托单位:
How phosphate is incorporated into carbonate minerals and its dependence on crystal growth conditions
  • 批准号:
    0819838
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.74万
  • 财政年份:
    2008
  • 负责人:
    Brian Phillips
  • 依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: