Meeting:Abstract 2011 CSDMS meeting-053

From CSDMS
Revision as of 16:47, 4 October 2011 by Mscully (talk | contribs)

"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country member" property.

Browse  abstracts

CSDMS all hands meeting 2011


Malcolm Scully choose to not submit an abstract for this conference.



[[Image:|300px|right|link=File:]]The seasonal depletion of oxygen (hypoxia) is a significant water quality issue in Chesapeake Bay. Billions of dollars have been spent on nutrient reduction with the goal of decreasing the extent and severity of summer hypoxia. However, assessing the effectiveness of these efforts is often confounded by the complexity and variability of the physical processes that control the distribution of dissolved oxygen in the Bay. The goal of this presentation is to assess the importance of the variations in physical forcing on modulating dissolved oxygen in Chesapeake Bay using a 3-D circulation model with an extremely simple formulation for oxygen dynamics. The model uses a depth-dependent oxygen utilization (respiration) that is constant in time and exchanges oxygen with the atmosphere via a surface flux. Despite the simplicity of the approach, this model can accurately simulate the observed seasonal cycle of hypoxia in the Bay. Further, because the biological utilization of oxygen is constant in time, the model effectively isolates the role of physical processes in modulating dissolved oxygen in this system. Model runs demonstrate that variations in wind speed and direction are the most important physical variables in controlling seasonal hypoxia. Secondary effects are attributed to variations in water temperature. Surprisingly, the model suggests that the magnitude of river discharge has little impact on the extent and severity of seasonal hypoxia in the Bay. A 15-year simulation with this model demonstrates some skill, but fails to capture much of the observed inter-annual variability in hypoxic volume. Model residuals are statistically correlated with integrated nitrogen loading, emphasizing the importance of biological processes in controlling the inter-annual variability.