OS040-05
Coupled hydrodynamic-vegetation growth model to predict Submerged Aquatic Vegetation (SAV) distribution in an estuary.
Abstract:
In this work we use the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system with a SAV growth model to better understand the driving mechanisms for the distribution of SAV biomass (growth/dieback) in Chesapeake Bay. Increased temperature, and high precipitation/sediment suspension events/storms within the model are hypothesized to cause increased SAV mortality while low suspended sediment and average water temperatures cause increased the SAV growth. Therefore, model simulations are run for various hydrodynamic and water quality conditions and comprise: 1) a high SAV stress year (2010/2011) with above average water temperatures and high nutrient loading events and 2) a low SAV stress year (2018) with average hydrodynamic and water quality conditions, favoring SAV growth. Resulting modeled SAV distributions are compared with the Virginia Institute of Marine Science (VIMS) SAV maps for those corresponding years. Ongoing modeling development includes the evaluation of SAV growth parameters (temperature, nutrients, runoff, etc.) on a multi-year scale to improve SAV distribution predictions.