globalchange  > 全球变化的国际研究计划
项目编号: 1660502
项目名称:
RAPID Flood Extent/Depth Data Identification, Acquisition, Cataloguing, and Processing
作者: Scott Hagen
承担单位: Louisiana State University & Agricultural and Mechanical College
批准年: 2016
开始日期: 2016-12-01
结束日期: 2018-11-30
资助金额: 73678
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Earth Sciences
英文关键词: flooding ; extent ; flood extent ; flood map ; coastal flooding ; near real-time flood detection
英文摘要: ABSTRACT

A non-technical description explaining the broader significance of the project

The 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 project

This 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.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/90771
Appears in Collections:全球变化的国际研究计划
科学计划与规划

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Recommended Citation:
Scott Hagen. RAPID Flood Extent/Depth Data Identification, Acquisition, Cataloguing, and Processing. 2016-01-01.
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