Cascade impact of hurricane movement, storm tidal surge, sea level rise and precipitation variability on flood assessment in a coastal urban watershed

  • Justin Joyce
  • Ni-Bin Chang
  • Rahim Harji
  • Thomas Ruppert
  • Peter Singhofen


For comprehensive flood assessment, complex systems, both natural and man-made, must be accounted for due to prevailing cascade effects from the upper atmosphere to the subsurface with hydrological and hydraulic interactions in between. This study aims to demonstrate such cascade effects via an integrated nearshore oceanic and coastal watershed model. Such an integrated modeling system consists of a coupled hydrodynamic circulation and wave driven model [the ADvanced CIRCulation (ADCIRC) and Simulating WAves Nearshore (SWAN) models], which can combine storm surge, astronomic tide levels and wave interaction, as well as an integrated hydrological/hydraulic model, namely the Interconnected Channel and Pond Routing (ICPR) model for coastal urban watershed simulation. In order to explore the worst scenario of coastal flooding impacts on a low-lying coastal watershed, the Cross Bayou Watershed within the Tampa Bay area of Florida was chosen for a multi-scale simulation analysis. To assess hurricane-induced storm tide, precipitation variability, and sea level rise collectively this multi-scale simulation analysis combines ADCIRC/SWAN and ICPR integratively. Findings indicate that such consideration of complex interactions at the coastal ocean, land surface, and sub-surface levels can provide useful flood assessments which are sensitive to slight changes in natural hazard characteristics such as storm intensity, radius of maximum winds, storm track, and landfall location.


Hurricane Flood Coastal sustainability Multi-scale modeling Complex large-scale system 


  1. Aquaveo LLC (2016) Surface-water modeling system, version 12.1. Reference manual & tutorials, Provo, UTGoogle Scholar
  2. Bedient PB, Hoblit BC, Gladwell DC, Vieux BE (2000) NexRAD radar for flood prediction in Houston. J Hydrol Eng 5(3):269–277CrossRefGoogle Scholar
  3. Blake E, Kimberlain T, Berg R, Cangialosi J, Beven J II (2013) Tropical cyclone report: Hurricane Sandy. National Hurricane Center, National Oceanic and Atmospheric Administration, MiamiGoogle Scholar
  4. Booij N, Ris RC, Holthuijsen LH (1999) A third-generation wave model for coastal regions, Part 1: model description and validation. J Geophys Res Oceans 104(C4):7649e7666. doi:10.1029/98JC02622 CrossRefGoogle Scholar
  5. Brunner P, Simmons CT (2012) HydroGeoSphere: a fully integrated, physically based hydrological model. Groundwater 50(2):170–176CrossRefGoogle Scholar
  6. Canuti P, Casagli N, Catani F, Falorni G (2002) Modeling of the Guagua Pichincha Volcano (Ecuador) Lahars. Phys Chem Earth 27(36):1587–1599CrossRefGoogle Scholar
  7. Cheng H-P, Cheng J.-R. C., Hunter RM, Lin H-C (2010) Demonstration of a coupled watershed-nearshore model. ERDC TN-SWWRP-10-XX. US Army Engineer Research and Development Center, Vicksburg. Assessed July 2016
  8. Condon AJ, Sheng YP (2012) Evaluation of coastal inundation hazard for present and future climates. Nat Hazards 62:345–373CrossRefGoogle Scholar
  9. Deltares Systems (2014) Accessed Jan 2016
  10. Dietrich JC, Tanaka S, Westerink JJ, Dawson CN, Luettich RA Jr, Zijlema M, Holthuijsen LH, Smith JM, Westerink LG, Westerlink HJ (2012) Performance of the unstructured-mesh, SWAN + ADCIRC model in computing hurricane waves and surge. J Sci Comput 52:468–497. doi:10.1007/s10915-011-9555-6 CrossRefGoogle Scholar
  11. Downer CW, Ogden FL (2004) GSSHA: a model for simulating diverse streamflow generating processes. J Hydrol Eng 9(3):161–174CrossRefGoogle Scholar
  12. Feuer SE, Landsea CW, Woolcock L, Berkeley J (2004) The reanalysis of Atlantic basin tropical cyclones from the 1920’s: a re-examination of three catastrophic hurricanes that impacted Florida. Preprints of the 26th conference on hurricanes and tropical meteorology. American Meteorological Society, Miami BeachGoogle Scholar
  13. Fleming JG, Fulcher CW, Luettich RA, Estrade BD, Allen GD, Winer HS (2007) A real time storm surge forecasting system using ADCIRC. In: Estuarine and coastal modeling: proceedings of the 10th international conference. American Society of Civil Engineers, Newport, RI, 5–7 Nov 2007, pp 893–912Google Scholar
  14. Garratt JR (1977) Review of drag coefficients over oceans and continents. Mon Weather Rev 105:915–929CrossRefGoogle Scholar
  15. Hervouet JM (2007) Hydrodynamics of free surface flows modelling with the finite element method. Wiley. doi:10.1002/9780470319628 Google Scholar
  16. Holland GJ (1980) An analytic model of the wind and pressure profiles in hurricanes. Mon Weather Rev 108(8):1212–1218CrossRefGoogle Scholar
  17. Huang Y, Weisberg RH, Zheng LY (2010) Coupling of surge and waves for an Ivan-like hurricane impacting the Tampa Bay, Florida region. J Geophys Res. doi:10.1029/2009JC006090 Google Scholar
  18. Hübl J, Steinwendtner H (2001) Two-dimensional simulation of two viscous debris flows in Austria. Phys Chem Earth 26(9):639–644Google Scholar
  19. IPCC (2014) Summary for policymakers. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds.) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 1–32Google Scholar
  20. Knabb R, Rhome J, Brown D (2005) Hurricane Katrina: 23–30 August 2005. Tropical cyclone reportGoogle Scholar
  21. Knebl MR, Yang ZL, Hutchison K, Maidment DR (2005) Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio river basin Summer 2002 storm event. J Environ Manag 75:325–336CrossRefGoogle Scholar
  22. Le Provost C, Lyard F, Molines JM, Genco ML, Rabilloud F (1998) A hydro-dynamic ocean tide model improved by assimilating a satellite altimeter-derived data set. J Geophys Res 103:5513–5529CrossRefGoogle Scholar
  23. Luettich RA, Westerink JJ, Scheffner NW (1992) ADCIRC: an advanced three-dimensional circulation model for shelves, coasts and estuaries. Report 1: theory and methodology of ADCIRC-2DDI and ADCIRC-3DL. Department of the US Army Corps of Engineers, Washington, DCGoogle Scholar
  24. Luettich RA, Westerink JJ, Muccino JC (1994) Modeling tides in the Western North Atlantic using unstructured graded grids. Tellus 46(A):178–199Google Scholar
  25. National Weather Service (2015) 1921 Tarpon springs hurricane. Accessed Sept 2015
  26. NOAA (2015) Tropical cyclone climatology. Accessed Sept 2015
  27. NOAA (2016) Sea level trends. Accessed Aug 2016
  28. NOAA Office of Coast Survey (2017) Datums and transformations. Accessed Aug 2015
  29. Ris RC, Holthuijsen LH, Booij N (1999) A third-generation wave model for coastal regions, Part 2: Model description and validation. J Geophys Res Oceans 104(C4):7649e7666. doi:10.1029/1998JC900123 CrossRefGoogle Scholar
  30. Streamline Technologies, Inc. (2014) ICPR version 4 users manual. Winter Springs, FLGoogle Scholar
  31. Streamline Technologies Inc. (2015) An integrated surface water–groundwater model of the Cross Bayou watershedGoogle Scholar
  32. Tampa Bay Climate Science Advisory Panel (2015) Recommended projection of sea level rise in the Tampa Bay region. Accessed Jan 2016
  33. Tampa Bay Regional Planning Council (2009) The Tampa Bay catastrophic plan: project phoenix. agendas/2015/ 101215/8c.pdf. Accessed Jan 2016
  34. Tang HS, Chien SI, Temimi M, Blain CA, Ke Q, Zhao L, Kraatz S (2013) Vulnerability of population and transportation infrastructure at the east bank of Delaware Bay due to coastal flooding in sea-level rise conditions. Nat Hazards 69:141. doi:10.1007/s11069-013-0691-1 CrossRefGoogle Scholar
  35. Thompson CM, Frazier TG (2014) Deterministic and probabilistic flood modeling for contemporary and future coastal and inland precipitation inundation. Appl Geogr 50:1–14CrossRefGoogle Scholar
  36. Tootle GA, Mirti T, Piechota TC (2005) Magnitude and return period of 2004 hurricane rainfall in Florida. J Floodplain Manag 5(1):32–37Google Scholar
  37. UN-Habitat (2012) State of the world’s cities 2012/2013, prosperity of cities. Routledge, New York, NYGoogle Scholar
  38. UNISDR (2015) The human coast of weather related disasters 1995–2015. UNISDR, GenevaGoogle Scholar
  39. United States Department of Agriculture (USDA) (1986) NRCS technical report 55Google Scholar
  40. Weisberg RH, Zheng LY (2006) Hurricane storm surge simulations for Tampa Bay. Estuar Coasts 29(6A):899–913CrossRefGoogle Scholar
  41. Weisberg RH, Zheng LY (2008) Hurricane storm surge simulations comparing three-dimensional with two-dimensional formulations based on an Ivan-like storm over the Tampa Bay, Florida region. J Geophys Res. doi:10.1029/2008JC005115 Google Scholar
  42. Westerink JJ, Luettich RA, Blain CA, Scheffner NW (1994) ADCIRC: an advanced three-dimensional circulation model for shelves, coasts, and estuaries. Report 2: user’s manualGoogle Scholar
  43. Yeh GT, Huang GB, Zhang F, Cheng HP, Lin HC (2005) WASH123D: a numerical model of flow, thermal transport, and salinity, sediment, and water quality transport in WAterSHed systems of 1-D Stream-river Network, 2-D Overland Regime, and 3-D Subsurface Media. Technical Report Submitted to US EPA. Department of Civil and Environmental Engineering, University of Central Florida, OrlandoGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Justin Joyce
    • 1
  • Ni-Bin Chang
    • 1
  • Rahim Harji
    • 2
  • Thomas Ruppert
    • 3
  • Peter Singhofen
    • 4
  1. 1.Civil, Environmental, and Construction Engineering DepartmentUniversity of Central FloridaOrlandoUSA
  2. 2.Watershed Management SectionPinellas County GovernmentClearwaterUSA
  3. 3.Florida Sea Grant College ProgramMiamiUSA
  4. 4.Streamline Technologies, Inc.Winter SpringsUSA

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