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Title: A National Scale Real Time Data Analytics Application for Assessing the Potential Impacts of Flooding on Communities
Successive hurricane events have brought new challenges to human life, critical infrastructure and the environment in the United States. This study introduced Flood Analytics Information System (FAIS) as a national scale data analytics application for real-time flood data collection and analysis. FAIS has been Beta tested across a mixed urban and rural basin in the Carolinas where Hurricane Florence made extensive damages and disruption. Our research aim was to develop and test an integrated solution based on real time Big data for stakeholder map-based dashboard visualizations that can be applicable to other countries and a range of weather-driven emergency situations. The prototype successfully identifies a dynamic set of at-risk locations using web-based river level and flood information. The list of prioritized locations can be updated every 15 minutes, as the environmental information and condition change. FAIS will be extended to collect data from other countries and other kinds of weather-related hazards such as snowstorms and wildfires.  more » « less
Award ID(s):
2035685
NSF-PAR ID:
10183167
Author(s) / Creator(s):
Date Published:
Journal Name:
the American Geophysical Union
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Abstract

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  5. null (Ed.)
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