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Modeling and data assessment of longitudinal salinity in a low-gradient estuarine river
Authors:Peter Bacopoulos  Ethan J. Kubatko  Scott C. Hagen  Andrew T. Cox  Teddy Mulamba
Affiliation:1.Jacksonville,USA;2.Department of CivilEnvironmental and Geodetic Engineering,The Ohio State University,Columbus,USA;3.Department of Civil and Environmental Engineering/Center for Computation & Technology,Louisiana State University,Baton Rouge,USA;4.Oceanweather Inc.,Cos Cob,USA;5.School of Engineering,University of North Florida,Jacksonville,USA
Abstract:
Continuous data of vertical-profile salinity were analyzed for four stations located successively upriver in a macrotidal estuary, the lower St. Johns River (Northeast Florida, USA). The data analysis confirmed well-mixed salinity conditions in the river with at most 1.3 ppt of vertical variability at Dames Point (river km 20), where the main variations of salinity are along the longitudinal axis of the river. Given the well-mixed salinity conditions and dominant horizontal structure of salinity variations in the river, we present and apply a barotropic, two-dimensional modeling approach for hydrodynamic-salinity transport simulation in the lower St. Johns River. When properly forced by offshore surge, high-resolution wind fields and freshwater river inflows, the model replicated the salinity measurements remarkably well, including the separation into tidal and sub-tidal components. The data and model results show that, at times, offshore winds and surge can be more influential on longitudinal salinity variations than local winds over the river. We demonstrate the importance of using proper boundary conditions to force the model relative to the minimal sensitivity of the model to parameter adjustment of horizontal mixing and uncertainty-based perturbation of wind and inflow forcings.
Keywords:
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