Chapter
Jul 11, 2017
Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015

Application of STORMTOOLS’ Simplified Flood Inundation Model with and without Sea Level Rise to RI Coastal Waters

Publication: Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities

ABSTRACT

The vision for STORMTOOLS is to provide access a suite of coastal planning tools (numerical models, etc.), available as a web service, that allows wide spread accessibly and applicability at high resolution for user selected coastal areas of interest. The first tool developed under this framework was a simplified flood inundation model, with and without sea level rise, for varying return periods. The methodology is based on using the water level vs return periods at a primary NOAA water level gauging station and then spatially scaling these values to generate a map. The spatial scaling was performed using predictions of high resolution storm simulations performed by NOAA using their sea, lake, and overland surges from hurricanes (SLOSH) model for various hurricane categories and by the U.S. Army Corps of Engineers (USACE) ADCIRC/WAM/STWAVE numerical hydrodynamic/wave model predictions performed as part of the north atlantic coast comprehensive study (NACCS) for synthetic tropical storms, to estimate inundation levels for varying return periods for coastal waters. The mapping methodology follows the NOAA sea level rise protocol and is applicable to any coastal region. The scaling for the RI application used Newport, RI, water levels as the reference point. The predicted flooding based on NACCS model predictions were comparable and within the range of uncertainty to that based on the SLOSH-NOAA based method. Predictions are provided for once in 25, 50, and 100 yr return periods (at the upper 95% confidence level), with sea level rises of 1, 2, 3, and 5 ft. Simulations were also performed for historical hurricane events including: 1938, Carol (1954), Bob (1991), and Sandy (2012) and nuisance flooding events with return periods of 1, 3, 5, and 10 yr. The maps are web accessible via ArcGIS and being widely used in municipal and state wide planning (http://www.beachsamp.org/resources/stormtools/).

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ACKNOWLEDGEMENT

Thanks is extended to US Army Corp of Engineers (USACE) for sharing the data sets generated as part of the North Atlantic Coast Comprehensive Study (NACCS). In particular, we appreciate the help of Noberto C. Nadal Caraballo, Debra Green, and Jeffrey Melby in accessing the data sets and in their interpretation. This work was supported by the State of RI, within the overall framework of developing flooding maps for the state.

REFERENCES

Cialone, Mary A., T. Chris Massey, Mary E. Anderson, Alison S. Grzegorzewski, Robert E. Jensen, Alan Cialone, David J. Mark, Kimberly C. Pevey, Brittany L. Gunkel, Tate O. McAlpin, Norberto N. Nadal-Caraballo, Jeffrey A. Melby, and Jay J. Ratcliff, 2015. North Atlantic Coast Comprehensive Study (NACCS) Coastal Storm Model Simulations: Waves and Water Levels, Coastal and Hydraulics Laboratory U.S. Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180-6199, Report: ERDC/CHL TR-XX-DRAFT.
Hashemi, R., M. L. Spaulding, A. Shaw, H. Farhadi, and M. Lewis, 2015. An efficient artificial intelligence model for prediction of tropical storm surge, Journal of Natural Hazards (in review, October 2015).
FEMA, 2012. Flood Insurance Study, Washington County, RI, FEMA Flood Insurance Study Number 44009CV001B.
NOAA, 2012. Detailed methodology for mapping sea level rise inundation, NOAA, Coastal Services Center, May 2012.
Spaulding, M. L., 2014, STORMTOOLS: Web tools to support coastal resilience analysis and planning for storms and sea level rise, http://www.beachsamp.org/maps/stormtools/
Spaulding, M. L., A. Grilli, T. Isaji, C. Damon, R. Hashemi, L. Schumbach, and A. Shaw, 2015. Development of flood inundation and wave maps for the Washington County, RI using high resolution, fully coupled surge and wave (ADCIRC and STWAVE) models, prepared for RI Coastal Resources Management Council, South Kingstown, RI.

Information & Authors

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Published In

Go to Coastal Structures and Solutions to Coastal Disasters 2015
Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities
Pages: 126 - 134
Editors: Louise Wallendorf, U.S. Naval Academy and Daniel T. Cox, Ph.D., Oregon State University
ISBN (Online): 978-0-7844-8030-4

History

Published online: Jul 11, 2017
Published in print: Jul 11, 2017

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Authors

Affiliations

Malcolm L. Spaulding [email protected]
Ocean Engineering, Univ. of RI, Narragansett, RI, 02882, and Spaulding Environmental Associates, LLC, Wakefield, RI 02879. E-mail: [email protected]
Tatsu Isaji [email protected]
ASA RPS, 55 Village Square Drive, South Kingstown, RI 02879. E-mail: [email protected]
Chris Damon [email protected]
Environmental Data Center, Univ. of RI, Kingston, RI 02881. E-mail: [email protected]
Grover Fugate [email protected]
RI Coastal Resources Management Council, 4808 Tower Hill Rd., South Kingstown, RI 02879. E-mail: [email protected]

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