Abstract
This paper presents a genetic programming (GP) approach to predict the longitudinal dispersion coefficients in natural streams. Published data were compiled from the literature for the dispersion coefficient for a wide range of flow conditions, and they were used for the development and testing of the proposed method. The proposed GP approach produced excellent results (R2 = 0.98 and RMSE = 0.085) compared to the existing predictors (Rajeev and Dutta, Hydrol Res 40(6):544–552, 2009, R2 = 0.345 and RMSE = 1778.6) for dispersion coefficient.
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