Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015
Process-Based and Data-Based Storm Surge Models for Rhode Island Coastal Flooding within the STORMTOOLS Framework
Publication: Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities
ABSTRACT
Here, we present two approaches for storm surge forecasting in coastal areas of Rhode Island: a regional ADCIRC model, and artificial intelligence (AI). Recent numerical modeling results published by north atlantic coast comprehensive study (NACSS) were employed as the basis. Using a downscaling approach, a high resolution ADCIRC hydrodynamic model was developed and interfaced with the NACCS model along the open boundaries. Although this model could effectively predict storm surges for the past historical/synthetic storms, it was numerically very expensive to provide boundary information for any storm surge forecasting scenario. To address this issue, an efficient AI data-based model was developed. The AI model predicts the storm surge using tropical storm parameters (i.e. central pressure, radius to maximum winds, forward velocity, and storm track). The AI model was validated using a set of randomly selected synthetic storms as well as real extreme storms in this region, and the performance was found satisfactory.
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ACKNOWLEDGMENTS
This work was under taken with funding support from a Rhode Island Community Development Block Grant (4712) from the U.S. Department of Housing and Urban Development and the State of Rhode Island Division of Planning Office of Housing and Community Development. Thanks to US Army Corps of Engineers (USACE) for sharing the North Atlantic Coastal Comprehensive Studies’ dataset.
Thanks to National Hurricane Center (NHC) and Center for Operational Oceanographic Products and Services (CO OPS) from NOAA for supplying hurricane and water level data. Thanks to Alex Shaw, for working on the NACCS dataset.
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Published In
Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities
Pages: 266 - 274
Editors: Louise Wallendorf, U.S. Naval Academy and Daniel T. Cox, Ph.D., Oregon State University
ISBN (Online): 978-0-7844-8030-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Jul 11, 2017
Published in print: Jul 11, 2017
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