CI-FLOW: Evaluating and Testing New Technologies for Accurate and Timely Identification of Inland and Coastal Floods in the Tar-Pamlico and Neuse River Basins of Coastal North Carolina

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

Robert Bacon (Creator)

Jack Thigpen (Creator)

Cooten Suzanne Van (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: CI-FLOW is a new technology being utilized to identify flood hazards. CI-FLOW stands for the Coastal and Inland Flooding Observation and Warning project. CI-FLOW was implemented ten years ago by the directors of Sea Grant and NOAA along with other North Carolina partners and state agencies. The National Weather Service has one forecast point in Louisburg NC on the Tar River. The addition of additional USGS gauges is important for effective identification of flood hazards. The accurate and timely identification of flood hazards is important given the growing and seasonally fluctuating population of Dare County. Approximately one-half of the housing in Dare County is seasonal and emergency mangers must account for this. For instance it is estimated that in 2030 if a category three hurricane hit during a time of peak tourism emergency managers would need to clear 30 000 vehicles in 31 hours. Given the importance flood identification an integrated approach is needed for accurate and timely identification. The utilization of storm surge models and observations of weather and river levels is key in flood identification. Three-dimensional images linked with real-time data can help assess the dangers of a flood and aid in emergency management decisions. CI-FLOW is being used to time crests and discharges along with a coupled model which links water and storm surge discharge. In conclusion the CI-FLOW project is a multi-agency evaluation of new technologies to better identify floods in the Tar-Pamlico and Neuse river basins.

Additional Information

Publication

Other

Greenville NC: East Carolina University

Language: English

Date: 2013

Keywords

NCEM, Hurricane, emergency management, emergency disaster

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