Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams

Hazi Azamathulla () and Aminuddin Ghani ()

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2011, vol. 25, issue 6, 1537-1544

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 (R 2 = 0.98 and RMSE=0.085) compared to the existing predictors (Rajeev and Dutta, Hydrol Res 40(6):544–552, 2009 , R 2 = 0.345 and RMSE=1778.6) for dispersion coefficient. Copyright Springer Science+Business Media B.V. 2011

Keywords: Streams; Rivers; Dispersion; Pollutants; GP (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/s11269-010-9759-9

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