4.2 Article

Modeling and data assessment of longitudinal salinity in a low-gradient estuarine river

Journal

ENVIRONMENTAL FLUID MECHANICS
Volume 17, Issue 2, Pages 323-353

Publisher

SPRINGER
DOI: 10.1007/s10652-016-9486-8

Keywords

Salinity; Hydrodynamics; Estuary; Macrotidal; Winds; Freshwater river inflow

Funding

  1. National Science Foundation (NSF) [1045151]
  2. NSF-Division of Mathematical Sciences (DMS) [0915118]
  3. Taylor Engineering, Inc. [W912EP-06-D-0012]
  4. U.S. Army Corps of Engineers (USACE)
  5. Louisiana Sea Grant Laborde Chair endowment
  6. Direct For Mathematical & Physical Scien
  7. Division Of Mathematical Sciences [1045151] Funding Source: National Science Foundation
  8. Division Of Mathematical Sciences
  9. Direct For Mathematical & Physical Scien [0915118] Funding Source: National Science Foundation

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available