Water Resources Management

, Volume 25, Issue 6, pp 1537–1544

Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams

  • Hazi Mohammad Azamathulla
  • Aminuddin Ab. Ghani
Article

DOI: 10.1007/s11269-010-9759-9

Cite this article as:
Azamathulla, H.M. & Ghani, A.A. Water Resour Manage (2011) 25: 1537. doi:10.1007/s11269-010-9759-9

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 

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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