Water Resources Management

, Volume 25, Issue 6, pp 1537–1544 | Cite as

Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams

  • Hazi Mohammad Azamathulla
  • Aminuddin Ab. Ghani
Article

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.

Keywords

Streams Rivers Dispersion Pollutants GP 

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Hazi Mohammad Azamathulla
    • 1
  • Aminuddin Ab. Ghani
    • 1
  1. 1.River Engineering and Urban Drainage Research Centre (REDAC)Universiti Sains MalaysiaNibongTebalMalaysia

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