Shtsnjy calibration and quality models of river using genetic algorithms, case study: Zayande

Generally the growing use of river quality models and calibration and Shtsnjy extends these models to predict the status of a particular matter coming right on the river and how to manage them. In this paper a genetic algorithm to determine the optimal reaction coefficients of quality parameters of BOD and DO in Zayande simulation model is presented K2 QUAL. Minimize sum of squares objective function difference between the data viewed to etermine the constants with the values simulated synthetic biochemical reactions) $ k_1 $ (, aerated) $ k_2 $ accumulation and decrease deposition) $ k_3 $ (is. Constraints related to any fixed space search and model Amalshdh ptimizing basis due Drvngzar Drdstrsbvdn simulator models K2QUAL pages Widely implemented. Biochemical synthetic fixed) $ k_1 $ (during different intervals of 0.02 to Zayande) day $ ^ {-1} $ (3.27, constant aeration) $ k_2 $ (up from 0.082) day $ ^ {-1} $ (22.13 and stable reduction of deposition) $ k_3 $ (up from 0.06) day $ ^ {-1} $ (4.27 changes. Shtsnjy stage also indicates the use of plausible values of precision constants Kalybrhshdh Zayande model is qualitative.