2019 REUs presented at the CERF Conference in Mobile, AL
Investigating How Oyster Filtration Model Simulations Vary with Different Filtration Rate Functions
This article outlines an investigation of oyster filtration formulations, which analyzed the changes in biogeochemical model simulations that resulted from different parameterizations of oyster filtration. Through controlled sensitivity analysis on the different aspects of modeled oyster filtration, we were able to identify and quantify variations in the model response that result directly from different expressions of the filtration rate. With numerical models being widely used to investigate the Chesapeake Bay region, this analysis yields further insight into their robustness and the necessity of accurate representations of the oysters’ physical processes.
Keohane, I.*, R. Gawde, J. Tay, E. North, and R. Hood. 2017. Variation in oyster influenced water quality simulations in response to different filtration rate functions. ASLO Aquatic Sciences Meeting, Honolulu, Hawaii.