Data Science Work That Matters
Coastal communities rely on predictions of waves and flooding, which are used during storms by emergency managers to make decisions about resource deployment and evacuation, and between storms by planners to design communities and by engineers to set insurance rates for homeowners. How can we communicate the forecasts of winds, waves and water levels in a meaningful way? In a project supported by the NCDS, researchers in the Coastal & Computational Hydraulics Team are connecting these forecast data to the needs of emergency managers in NC. For the first time, coastal flooding forecasts will be mapped and visualized at the same resolution as geospatial databases with information about local buildings, roads and utilities. Efficient visualizations of coastal flooding data will allow end users to promptly identify, analyze and disseminate information about high-risk areas. The graphic above shows the maximum storm surge due to Hurricane Arthur (2014). Localized flooding occurred first in the west and south sides of Pamlico Sound, and then surge was pushed eastward against the sound-side of Hatteras Island, where it reached a peak value of about 2.5 m above sea level.
- The 4th International Workshop on Big Data and Social Networking Management and Security coming to Barcelona, Spain in December. For more information, see DSI News.