RAPID: Aerial Imaging and Ground-based Surveys for Post-Disaster Assessment of Areas Affected by Hurricane Sandy

RAPID:用于受飓风桑迪影响的地区的灾后评估的航空成像和地面调查

基本信息

  • 批准号:
    1313863
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-01-15 至 2014-06-30
  • 项目状态:
    已结题

项目摘要

This Rapid Response Research Grant (RAPID) will collect perishable damage data to electrical power system caused by Hurricane Sandy that made landfall on October 29, 2012. It was a very large storm (almost 800 miles in diameter according to National Oceanic and Atmospheric Administration) that affected large areas of coastlines of New York and New Jersey. The storm was judged to be Category 1 based on its wind speed. However, the hurricane affected millions of people living along the east coast of the United States and was responsible for 7.5 million power-outages. Even after two weeks since the landfall of the hurricane, thousands of people were still without power. The research will document damage to power line system and trees that affected electrical power. The investigation will use a combination of close-range airborne and terrestrial techniques to perform rapid condition assessment of critical civil infrastructure of electrical power and identify factors that caused power failures. The novelty of this research resides in: 1) the investigation with high-quality aerial images captured from manned/unmanned systems, and 2) the development of novel methods for the analysis of both aerial and ground-based data. The research will provide understanding of the causes of power failure and can provide direction to research in mitigation of infrastructure failures in natural hazards. It is envisioned that the research effort will significantly advance scientific and engineering knowledge in the area of post disaster rapid assessment of electric power lines, and will further enhance ability to mitigate, react and intervene in major natural disasters targeting critical infrastructure.
这项快速反应研究基金(RAPID)将收集2012年10月29日登陆的飓风桑迪对电力系统造成的易腐损害数据。这是一场非常大的风暴(根据国家海洋和大气管理局的数据,直径近800英里),影响了纽约和新泽西的大面积海岸线。根据风速,风暴被判定为1级。然而,飓风影响了居住在美国东海岸沿着的数百万人,造成750万人断电。即使在飓风登陆两周后,数千人仍然没有电力供应。这项研究将记录电力线路系统和影响电力的树木的损坏情况。调查将使用近距离空中和地面技术相结合,对关键民用电力基础设施进行快速状态评估,并确定导致电力故障的因素。这项研究的新奇在于:1)从有人/无人系统捕获的高质量航空图像进行调查,以及2)开发用于分析空中和地面数据的新方法。该研究将提供电力故障的原因的理解,并可以提供方向的研究,在减轻基础设施故障的自然灾害。据设想,这项研究工作将大大提高电力线路灾后快速评估领域的科学和工程知识,并将进一步提高减轻、应对和干预针对关键基础设施的重大自然灾害的能力。

项目成果

期刊论文数量(0)
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Anu Pradhan其他文献

Resiliency of Intelligent Transportation Systems to Critical Disruptions: An Eigenvalue-Based Viewpoint
智能交通系统对严重中断的弹性:基于特征值的观点
  • DOI:
    10.1061/9780784413616.215
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    S. Nourzad;Anu Pradhan
  • 通讯作者:
    Anu Pradhan
Investigation on Bridge Assessment Using Unmanned Aerial Systems
利用无人机系统进行桥梁评估的研究
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Fuad Khan;Andrew Ellenberg;M. Mazzotti;A. Kontsos;F. Moon;Anu Pradhan;I. Bartoli
  • 通讯作者:
    I. Bartoli
CAD and GIS interoperability through semantic web services
通过语义 Web 服务实现 CAD 和 GIS 互操作性
Computational Modeling of Driver Distraction by Integrating Cognitive and Agent-Based Traffic Simulation Models
通过集成认知和基于代理的交通仿真模型对驾驶员分心进行计算建模
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    S. Nourzad;Dario D. Salvucci;Anu Pradhan
  • 通讯作者:
    Anu Pradhan
Harmonics estimation in stressed electric power networks
受压电力网络中的谐波估计

Anu Pradhan的其他文献

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