Water Quality Model Calibration via a Full-Factorial Analysis of Algal Growth Kinetic Parameters
AbstractThe two-dimensional, laterally-averaged mechanistic eutrophication model CE-QUAL-W2 version 3.72 was used to predict chlorophyll-a concentrations across two different time periods in the Neuse River Estuary, North Carolina. Chlorophyll calibration was performed for two time periods simultaneously by performing a full-factorial experiment that tested seven algal kinetic growth parameters over three levels for a single algal group. A cluster of up to six computers each running between two and ten instances of the program was used to complete and manage the data for 2187 runs for each period. Six numeric criteria were used to determine which runs performed acceptably, yielding a group of 27 cases that met all of the criteria. Calibration performance of the set of cases outperformed a previously calibrated model using three algal groups that met only four of the six selection criteria. Calibration performed this way allowed for a more rational specification of model calibration performance and provided uncertainty estimates of model predictions, albeit at the cost of a considerable increase in computational requirements that necessitated the use of a computer cluster. View Full-Text
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Bowen, J.D.; Harrigan, N.B. Water Quality Model Calibration via a Full-Factorial Analysis of Algal Growth Kinetic Parameters. J. Mar. Sci. Eng. 2018, 6, 137.
Bowen JD, Harrigan NB. Water Quality Model Calibration via a Full-Factorial Analysis of Algal Growth Kinetic Parameters. Journal of Marine Science and Engineering. 2018; 6(4):137.Chicago/Turabian Style
Bowen, James D.; Harrigan, Noyes B. 2018. "Water Quality Model Calibration via a Full-Factorial Analysis of Algal Growth Kinetic Parameters." J. Mar. Sci. Eng. 6, no. 4: 137.
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