Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams
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- Azamathulla, H.M. & Ghani, A.A. Water Resour Manage (2011) 25: 1537. doi:10.1007/s11269-010-9759-9
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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.