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Nested Hydrodynamic Modeling of a Coastal River Applying Dynamic-Coupling

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Listed:
  • V. Alarcon
  • D. Johnson
  • W. McAnally
  • J. Zwaag
  • D. Irby
  • J. Cartwright

Abstract

This paper presents a nested hydrodynamic model of the Fish River, a tributary of the sub-estuary Weeks Bay located in Mobile Bay, Alabama. The Environmental Fluid Dynamics Code (EFDC) and a novel dynamic-coupling tool were used to link three EFDC hydrodynamic models corresponding to Mobile Bay, Weeks Bay, and the Fish River. The dynamically-coupled models were used to simulate inundation scenarios for combinations of 2-, 7.5-, 10-, 25-, and 100-year floods, and the hurricane surge that occurred during hurricane Katrina. The nested and dynamically-coupled model was developed using available public-access bathymetry and topography databases (National Elevation Dataset, and NOAA bathymetry), and run without recurring to calibration techniques. The simulation of combined scenarios showed that inundated areas increase from 0.07 % up to 189 % with respect to the actual flood that took place during the Katrina event (Katrina + 1-year flood). The results suggest that increases in inundated area are relatively much higher from a 1-year flood to a 7.5 year-flood (128 % flooded area increase) than for higher return periods. For the 25-year and the 100-year floods, inundated areas almost triple from the area corresponding to the base-case (Katrina event), with percent increases of 182 % and 189 % respectively. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • V. Alarcon & D. Johnson & W. McAnally & J. Zwaag & D. Irby & J. Cartwright, 2014. "Nested Hydrodynamic Modeling of a Coastal River Applying Dynamic-Coupling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3227-3240, August.
  • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:3227-3240
    DOI: 10.1007/s11269-014-0671-6
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    References listed on IDEAS

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    1. Atthanan Lekuthai & Suphat Vongvisessomjai, 2001. "Intangible Flood Damage Quantification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(5), pages 343-362, October.
    2. Sajjad Ahmad & Slobodan Simonovic, 2006. "An Intelligent Decision Support System for Management of Floods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(3), pages 391-410, June.
    3. A. Ireson & C. Makropoulos & C. Maksimovic, 2006. "Water Resources Modelling under Data Scarcity: Coupling MIKE BASIN and ASM Groundwater Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 567-590, August.
    4. Y. Murty & S. Bhallamudi & K. Srinivasan, 2006. "Non-Uniform Flow Effect on Optimal Waste Load Allocation in Rivers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 509-530, August.
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    Cited by:

    1. Vladimir J. Alarcon, 2021. "Hindcasting and Forecasting Total Suspended Sediment Concentrations Using a NARX Neural Network," Sustainability, MDPI, vol. 13(1), pages 1-18, January.
    2. Vladimir J. Alarcon & Anna C. Linhoss & Christopher R. Kelble & Paul F. Mickle & Gonzalo F. Sanchez-Banda & Fernando E. Mardonez-Meza & Joseph Bishop & Steven L. Ashby, 2022. "Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(3), pages 2933-2962, April.

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