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RAPID Flood Extent/Depth Data Identification, Acquisition, Cataloguing, and Processing

RAPID Flood Extent/Depth Data Identification, Acquisition, Cataloguing, and Processing
快速洪水范围/深度数据识别、采集、编目和处理
批准号:
1660502
负责人:
Scott Hagen
金额:
$7.37万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-12-01 至 2018-11-30

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中文摘要
翻译
摘要 解释该项目更广泛意义的非技术性描述2016年8月路易斯安那州的极端降雨事件让许多人感到意外。洪水图和应急准备是为密西西比河及其支流的溢流而设计的,但直接降水的范围和速度在当地河流流域造成了意想不到的行为。这个快速项目将研究洪水的范围和时间,以建立一个有效的模型,该区域对降雨的反应。然后,这些数据将被纳入现有的风暴潮造成的沿海洪水模型,以制定对该地区不同类型影响的情景。这项研究将有助于未来的规划和应急管理的各种天气相关的影响。该项目的技术说明这个快速项目将产生三个关键产品:1)时间无关的表示最远程度和最大深度的洪水; 2)时间相关的表示的程度和深度的洪水;以及3)将数据直接和快速地纳入飓风风暴潮模型的方法的文档。实地工作将收集短暂的数据,以验证从遥感技术得出的洪水范围和深度。将在三个关键领域推进科学:1)近实时洪水探测的遥感算法; 2)耦合水文和飓风风暴潮模型的数值实现; 3)大区域水文和风暴潮相互作用的流动物理学。
英文摘要
ABSTRACT A non-technical description explaining the broader significance of the projectThe extreme rainfall event in Louisiana in August 2016 caught many people by surprise. Flood maps and emergency preparations were designed for overflow from the Mississippi River and tributaries, but the extent and rapidity of direct precipitation caused unanticipated behaviors in the local stream watersheds. This RAPID project will examine the extent and the timing of the flooding in order to develop an effective model of the regional response to the rainfall. These data then will be incorporated into existing models of coastal flooding caused by storm surges to develop scenarios for different types of impacts on the region. This research will help in future planning and emergency management for various weather-related impacts.A technical description of the projectThis RAPID project will generate three key products: 1) A time-independent representation of the furthest extents and maximum depths of flooding; 2) Time-dependent representations of the extent and depth of flooding; and, 3) Documentation of the methodology to directly and quickly incorporate the data into a hurricane storm surge model. The field effort will collect ephemeral data to validate flood extents and depths derived from remote sensing technologies. Science will be advanced in three key areas: 1) remote sensing algorithms for near real-time flood detection; 2) numerical implementation of coupled hydrologic and hurricane storm-surge models; and 3) the geophysics of flow for hydrologic and surge interactions over a large region.
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会议论文
Coastal SEES Collaborative Research: Changes in actual and perceived coastal flood risks due to river management strategies
  • 批准号:
    1533979
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $26.97万
  • 财政年份:
    2015
  • 负责人:
    Scott Hagen
  • 依托单位:
Coastal SEES Collaborative Research: Changes in actual and perceived coastal flood risks due to river management strategies
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