عنوان مقاله [English]
River water quality models are commonly used to study the response of river quality, due to different management strategies.
In this paper, a genetic algorithm is used to calibrate for the kinetic constants, including biochemical decay rate (k$_1$), re-aeration rate coefficient (k$_2$), and BOD settling rate (k$_3$), with reference to BOD and DO observation data. For this purpose, the QUAL2K is used as a simulation model. An objective function, defined by the sum-of-least squares, is used in order to describe the difference between the observed and simulated BOD and DO concentrations. The constraints include search spaces of kinetic rates. The results show that GAs can successfully carry out calibration and verification and estimate the best set of kinetic coefficients, with minimum RMSE, to be used in river water quality modeling with QUAL2K as an embedded model. In the case study for the Zayandehrood river, the results show 0.02$