Technical Papers
May 30, 2017

Integrated Hydrologic-Hydrodynamic Modeling of Estuarine-Riverine Flooding: 2008 Tropical Storm Fay

Publication: Journal of Hydrologic Engineering
Volume 22, Issue 8

Abstract

Soil and water assessment tool (SWAT) and advanced circulation (ADCIRC) models were integrated to generate a hydrologic (SWAT)–hydrodynamic (ADCIRC) model applicable for flood prediction in coastal areas. The model is applied to the lower St. Johns River Basin for a holistic postevent analysis of Tropical Storm Fay (2008). Validation of the model is presented, followed by physical-forcing and temporal assessments of inundation within the river-adjacent watershed basins. The model validation and inundation assessment demonstrates the need to apply watershed runoff as an additional boundary condition in order to more fully capture the peak surge and recession, which added 0.5  m to storm tide elevation in the lower St. Johns River, extended the surge recession by nearly 5 days, and increased the inundated watershed area by almost 50%. Watershed inundation ranges between 33  km2 for normal tide conditions and 150  km2 for an approximate 1-in-100-year event (Tropical Storm Fay). Implementation of the approach requires careful definition of the SWAT-ADCIRC interfaces at tributaries and river offshoots, which for the case of the lower St. Johns River Basin was accomplished with 8 inflow boundary condition locations. Other details of the approach are discussed, and general guidance for application to other estuaries is provided.

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Acknowledgments

This research was funded in part under Award No. NA10OAR4170079 from Florida Sea Grant (FSG), Award No. NA10NOS4780146 from the National Oceanic and Atmospheric Administration (NOAA) Center for Sponsored Coastal Ocean Research (CSCOR), and the St. Johns River Economic Impact Study: Phase 1—Ecosystem Services Valuation project from the St. Johns River Water Management District (SJRWMD). The STOKES Advanced Research Computing Center (ARCC) and the University of North Florida (UNF) College of Computing, Engineering and Construction (CCEC) contributed time in their high-performance computing facilities to perform the model simulations. The authors thank Peter V. Sucsy and Timothy B. Cera of the SJRWMD for providing a wealth of information on the lower St. Johns River Basin. The statements and conclusions are those of the authors and do not necessarily reflect the views of FSG, NOAA-CSCOR, SJRWMD, STOKES-ARCC, UNF-CCEC, or their affiliates.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 22Issue 8August 2017

History

Received: Apr 7, 2016
Accepted: Mar 2, 2017
Published online: May 30, 2017
Published in print: Aug 1, 2017
Discussion open until: Oct 30, 2017

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Independent Subcontractor, 1431 Riverplace Blvd. 1201, Jacksonville, FL 32207 (corresponding author). ORCID: https://orcid.org/0000-0002-5954-0429. E-mail: [email protected]
Yin Tang, S.M.ASCE
Graduate Student, Dept. of Civil, Environmental and Construction Engineering, Univ. of Central Florida, 4000 Central Florida Blvd., P.O. Box 162450, Orlando, FL 32816.
Dingbao Wang, A.M.ASCE
Associate Professor, Dept. of Civil, Environmental and Construction Engineering, Univ. of Central Florida, 4000 Central Florida Blvd., P.O. Box 162450, Orlando, FL 32816.
Scott C. Hagen, F.ASCE
Louisiana Sea Grant Laborde Chair/Professor, Dept. of Civil and Environmental Engineering and Center for Computation and Technology; Director, Center for Coastal Resiliency, Louisiana State Univ., 124 C Sea Grant Hall, Baton Rouge, LA 70803.

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