Application of genetic algorithms for calibration and verification of QUAL2E model

2004-07-01
Göktaş, Recep Kaya
Aksoy, Ayşegül
Traditional trial-and-error methods make the calibration and verification of a model considerably time consuming. In addition, it is doubtful whether the best results will be achieved. However, by use of optimization techniques in calibration and verification, the best kinetic parameter estimates can be obtained in a shorter time period. In this study, a genetic algorithm (GA) is used to determine the reaeration coefficients for QUAL2E. An objective function, defined by sum-of-least-squares, is used in order to describe the difference between the observed and simulated dissolved oxygen concentrations. Simultaneous calibration and verification is carried out by treating the verification of the calibrated parameters as a constraint. The efficacy of GAs in predicting the model parameters is evaluated for perfect and biased measurements. The results show that GAs can successfully carry out simultaneous calibration and verification, and estimate the best set of reaeration coefficients to be used in stream water quality modeling with QUAL2E, especially for the accurate observation data.
Citation Formats
R. K. Göktaş and A. Aksoy, “Application of genetic algorithms for calibration and verification of QUAL2E model,” presented at the Application of genetic algorithms for calibration and verification of QUAL2E model”, Application of genetic algorithms for calibration and verification of QUAL2E model, Salt Lake City, Amerika Birleşik Devletleri, 27 Haziran - 01 Temmuz 2004, Salt Lake City, Amerika Birleşik Devletleri, 2004, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/82710.