Using ADCIRC to extend the time period of the Neuse River Estuary eutrophication model
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Date
2021-08-30
Authors
Advisors
Journal Title
Series/Report No.
UNC-WRRI;482
WRRI Project;18-06-W
WRRI Project;18-06-W
Journal ISSN
Volume Title
Publisher
NC Water Resources Research Institute
Abstract
The previously developed two-dimensional, laterally-averaged mechanistic CE-QUAL-W2 was
updated and extended with all the input files needed to run the model through to the end of
calendar year 2016. In order to extend the previous model past 2009, a new method had to be
created to estimate the elevation downstream head (EDH) of the Neuse River Estuary. A
meteorological forcing ADCIRC model of the Pamlico and Albemarle sound was created to
predict the needed elevation time history. However, the ADCIRC model was only able to predict
known EDH values with a coefficient of determination of 0.03 and a correlation of -0.187. This
level of performance was considered inadequate for simulating the downstream elevation
boundary condition for the model. An alternative method had to be used to extend the elevation
time history. Known water elevations from Oregon Inlet were manipulated using a variance
factor and a time shift to predict the needed water level time history. A two-year time period of
elevation data were available to test the method. Over the 2006-2008 time period, this method
was able to predict the EDH with a coefficient of determination value of 0.078 and a correlation
of 0.28. This was a significantly higher level of prediction accuracy that was considered suitable
for generating the necessary elevation boundary condition. Additional work was done to develop
the other model input files for the 2012 – 2016 time period. With updated input files, two new
CE-QUAL-W2 model time periods were created: 2012-2014 and 2015-2016. Model predictions
of temperature, salinity, nitrate, ammonia, orthophosphate, dissolved oxygen and chlorophyll-a
were compared to available monitoring data. Additional work is needed to fully calibrate the
model. Once calibrated, the model may be used to simulate nitrogen reduction scenarios in the
estuary.