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Critical Transitions in Water and Environmental Resources Management
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, isdoi:10.1061/40737(2004)252 fatcat:4idaf2q5wnd6zim6f2pa3vl744