| Article ID: | iaor20113719 |
| Volume: | 25 |
| Issue: | 6 |
| Start Page Number: | 1537 |
| End Page Number: | 1544 |
| Publication Date: | Apr 2011 |
| Journal: | Water Resources Management |
| Authors: | Azamathulla Mohammad, Ghani Ab |
| Keywords: | geography & environment, heuristics: genetic algorithms, forecasting: applications |
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.