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http://dx.doi.org/10.14249/eia.2014.23.6.432

Calibration of WASP7 Model using a Genetic Algorithm and Application to a Drinking Water Resource Reservoir  

Bae, Sang-Mok (Department of Health and Environment, Catholic Kwandong University)
Cho, Jae-Heon (Department of Health and Environment, Catholic Kwandong University)
Publication Information
Journal of Environmental Impact Assessment / v.23, no.6, 2014 , pp. 432-444 More about this Journal
Abstract
When the water quality modelling is done with a manual calibration, it is possible that the researcher's opinion may affect the objectivity of the research. Hence, the role of the automatic calibration is highly important. This research applies a technique to automatically calibrate the water quality parameters by implementing an optimization method. This involves estimating the optimum water quality parameters targeting influential parameters towards the lake's BOD, DO, Phosphorus, Nitrogen and Phytoplankton. To accurately calculate the water temperature and hydraulic characteristics of a deep, stratifying lake, EFDC, a 3-dimensional hydraulic model which can be linked to the WASP7 was applied. With EFDC, the segment of the lake is formed and utilized as an input data of the WASP7. For the calibration of the water quality parameters of the WASP7, an influence coefficient algorithm and a genetic algorithm was applied. Of the five water quality variables for calibration, the normalized residuals of the observed and calculated values of DO, TN, CBOD were relatively small and the three water quality variables were calibrated properly. Yet the accuracy of the calibration of TP and Chl-a was relatively low.
Keywords
WASP7; automatic calibration; genetic algorithm; influence coefficient algorithm;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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