SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Integrated hydrologic-hydrodynamic modeling of estuarine-riverine flooding: 2008 Tropical Storm Fay 
Authors:Bacopoulos, P., Y. Tang, D. Wang and S.C. Hagen 
Journal:Journal of Hydrologic Engineering 
Article ID:04017022 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:model interface 
Secondary Application Category:hydrologic assessment 
Watershed Description:7000 km^2 St. Johns River, which drains to the Atlantic Ocean in northeast Florida, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
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. 
Keywords:Flooding; Estuaries; Storm tide; Watershed runoff; Numerical modeling; Coupling