MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN

Abdelazim M. Negm, M. M. Elfiky, T. M. Owais, M. H. Nassar

Abstract

Artificial neural network (ANN) prediction models can be considered as an efficient tool in predictions once they are trained from examples or patterns. These types of ANN models need large amount of data which should be at hand before thinking to develop such models. In this paper, the capability of ANN model to predict suspended sediment in 2-D flow field is investigated. The data used for training the network are generated from a pre-verified 2-D hydrodynamic and a 2-D suspended sediment models which were recently developed by the authors. About two-thirds of the data are used for training the network while the rest of the data are used for validating and testing the developed ANN model. Field data measured by hydraulic research Institute are used to compare the results of the ANN model. The conjugate gradient learning algorithm is adopted. The results of the developed ANN model proved that the technique is reliable in such field compared to both the results of the previously developed models and the field data provided that the trained network is used to generate prediction within the range of training data.

References

  1. Thomas, W.A. and Prasuhn, A.L. (1977). "Mathematical Modeling of Scour and Deposition." J. Hyd. Div., ASCE, Vol. 103, No. 8, PP.851-863.
  2. Bhallaamudi, S.M. and Chaaudhry, M.H. (1991). "Numerical Modeling of Aggradation and Degradation in Alluvial Channels.", J. of Hyd. Engrg., Vol. 117, No. 9, Sep., PP.1145-1164.
  3. Guo, Q.-C. and Jin, Y.-C. (1999). "Modeling Sediment Transport Using Depth Averaged and Moment Equations.", J. Hyd. Engrg., Vol.. 125, No.12, Dec., PP. 1262-1269.
  4. Lin, P. and Shen, H. W. (1984), “Two-D Flow with Sediment by Characteristics Method”, J. Hyd. Engrg., Vol. 110, No. 5, PP.615-626.
  5. Van Rijn, L. C. (1986) “Mathematical Modeling of Suspended Sediment in Non-uniform Flows.” J. of Hyd. Engrg., Vol. 112, No. 6, PP.589-600.
  6. Celik, I. and Rodi, W. (1988). "Modeling Suspended Sediment Transport in Nonequilibrium Situations.", J. of Hyd. Engrg., Vol. 114, No. 10, Oct., PP.1157-1191.
  7. Van Rijn, L. C., Rossum, H. and Thermes, P. (1990). "Field Verification of 2-D and 3-D Suspended Sediment Models." J. of Hyd. Engrg., Vol. 116, No. 10, PP.1270-1288.
  8. Elfiky, MM., Negm, A.M., Owais, T.M. and Nassar, M.H. (2003). "Development of A 2-D Sediment Transport Model For The Nile River" Proc. Of 6th Int. Conference on River Engineering, 28-30 Jan., Ahvaz, Iran.
  9. Dawdy, D.R. and Vanoni, V.A. (1986). "Modeling alluvial Channels.", J. Water Resour. Res., Vol. 22, No. 9, PP. 71s-81s.
  10. Schalkoff, R.J. (1997). "Artificial Neural Networks." Computer Science Series, McGraw-Hill Co., Inc., New York.
  11. Negm, A.M. (2002). "Prediction of Hydraulic Design Parameters of Expanding Stilling Basins Using Artificial Neural Network." Egyptian Journal for Engineering Science and Technology (EJEST), Faculty of Engineering, Zagazig University, Egypt, Vol. 6, No.1, PP.1-24.
  12. Karunanithi, N., Grenney, W.J., Whitley, D. and Bovee, K. (1994). "Neural Networks for River Flows Prediction." J. Computing in Civil Engineering, ASCE, Vol.8, No.2, April, pp.201-219 and Discussion Vol.9, No.5, P293.
  13. Dibike, Y.B., Solomatine, D. and Abbott, M.B. (1999), On the Encapsulation of Numerical-Hydraulic Models in Artificial Neural Network”, J. Hyd. Res., IAHR, Vol.37, No.2, PP.147-162.
  14. Nagy, H. M. (1999),“ Sediment Transport Capacity in Open Channels: Neural Network Approach.”, Alex. Engineering Journal, Vol. 38, No. 2.
  15. Jain, S.K. (2001). "Development of Integrated Sediment Rating Curves Using ANNs." J. Hyd. Engrg., Vol. 127, No. 1, Jan., PP.30-37.
  16. Nagy, H.M., Watanabe, K. and Hirano, M. (2002). "Prediction of Sediment Load Concentration in Rivers Using Artificial Neural Network Model.", J. Hyd. Engrg., Vol. 128, No. 6, June, PP.588-593.
  17. Elfiky M.M., Marmoush Y.R. and Abdel-Aal G.M. (1997). "A 2-D Model Simulating the Flow Patterns in Rivers." The Egyptian Journal For Engineering Sciences and Technology (EJEST), Faculty of Eng., Zagazig Univ., Jan., Vol. No.1, PP. 60-67.
  18. Saad, S.A., El-Belasy, A.M. and Amin, A.M. (1999). "Field Studies For Silting Phenomenon at El-Nassr Canal Intake." HRI, Delta Barrages, NWRC, Egypt.
Download


Paper Citation


in Harvard Style

M. Negm A., M. Owais T., M. Elfiky M. and H. Nassar M. (2007). MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN . In Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-07-4, pages 209-214. DOI: 10.5220/0001346202090214


in Bibtex Style

@conference{icsoft07,
author={Abdelazim M. Negm and T. M. Owais and M. M. Elfiky and M. H. Nassar},
title={MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2007},
pages={209-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001346202090214},
isbn={978-989-8111-07-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN
SN - 978-989-8111-07-4
AU - M. Negm A.
AU - M. Owais T.
AU - M. Elfiky M.
AU - H. Nassar M.
PY - 2007
SP - 209
EP - 214
DO - 10.5220/0001346202090214