Gene Expression Programing for Estimating Suspended Sediment Yield in Middle Euphrates Basin, Turkey

Clean - Soil, Air, Water

Volumn 38, Issue 12, 2010, Pages 1159-1168

  Guven, Aytac ^a   Talu, Necip Ersin ^b  

^a GAZIANTEP UNIVERSITY   (Turkey)

^b Turkish State of Hydraulic Works (DSI)   (Turkey)

Author keywords

Gene expression programing; Rating curve; Regression analysis; Rivers; Suspended sediment yield

Indexed keywords

COMPUTER SIMULATION; ESTIMATION METHOD; GENE EXPRESSION; NUMERICAL MODEL; REGRESSION ANALYSIS; RIVER DISCHARGE; SEDIMENT TRANSPORT; SEDIMENT YIELD; SENSITIVITY ANALYSIS; SUSPENDED SEDIMENT;

EUPHRATES BASIN; TURKEY;

EID: 78650237475     PISSN: 18630650     EISSN: 18630669     Source Type: Journal    
DOI: 10.1002/clen.201000003     Document Type: Article

References (33)

1. H. K. Cigizoglu, Suspended Sediment Estimation and Forecasting Using Artificial Neural Networks, Turkish J. Eng. Env. Sci. 2002, 26, 15.
2. G. Jacoub, B. Westrich, Modeling Transport Dynamics of Contaminated Sediments in the Headwater of a Hydropower Plant at the Upper Rhine River, Clean: Soil, Air, Water 2006, 34 (3), 279.
3. O. Büttner, K. Otte-Witte, F. Krüger, G. Meon, M. Rode, Numerical Modeling of Floodplain Hydraulics and Suspended Sediment Transport and Deposition at the Event Scale in the Middle River Elbe, Germany, Clean: Soil, Air, Water 2006, 34 (3), 265.
4. F. Ozturk, K. Yurekli, H. Apaydin, Stochastic Modeling of Suspended Sediment from Yesilirmak Basin, Turkey, Int. J. Nat. Eng. Sci. 2008, 2 (1), 21- 27.
5. A. Guven, M. Gunal, A. Cevik, Prediction of Pressure Fluctuations on Sloping Stilling Basins, Can. J. Civ. Eng. 2006, 33 (11), 1379.
6. A. Guven, A. Aytek, A New Approach for Stage-Discharge Relationship: Gene-Expression Programming, J. Hydrol. Eng. 2009, 14 (8), 812.
7. A. Aytek, O. Kisi, A Genetic Programming Approach to Suspended Sediment Modeling, J. Hydrol. 2008, 351, 288.
8. E. A. McBean, S. Al-Nassri, Uncertainty in Suspended Sediment Transport Curves, J. Hydraul. Eng. 1988, 114 (1), 63.
9. R. B. Thomas, Estimating Total Suspended Sediment Yield with Probability Sampling, Water Resour. Res. 1985, 21, 1381.
10. N. E. M. Asselman, Fitting and Interpretation of Sediment Rating Curves, J. Hydrol. 2000, 234, 228.
11. C. Picoet, B. Hingray, J. C. Olivry, Empirical and Conceptual Modeling of the Suspended Sediment Dynamics in Large Tropical African River: The Upper Niger River Basin, J. Hydrol. 2001, 250, 19- 1939.
12. D. W. Crowder, M. Demissie, M. Markus, The Accuracy of Sediment Loads when Log-Transformation Produces Nonlinear Sediment Load-Discharge Relationships, J. Hydrol. 2007, 336, 250.
13. O. Kisi, M. Çobaner, Modeling River Stage-Discharge Relationships Using Different Neural Network Computing Techniques, Clean: Soil, Air, Water 2008, 37 (2), 160.
14. A. Guven, Linear Genetic Programming for Time-Series Modeling of Daily Flow Rate, J. Earth Syst. Sci. 2009, 118 (2), 137.
15. N. Hamidi, N. Kayaalp, Estimation of the Amount of Suspended Sediment in the Tigris River Using Artificial Neural Networks, Clean: Soil, Air, Water 2008, 36 (4), 380.
16. O. Kisi, Suspended Sediment Estimation Using Neuro-Fuzzy and Neural Network Approaches, Hydrol. Sci. 2005, 50 (4), 683- 696.
17. O. Kisi, M. E. Karahan, Z. Sen, River Suspended Sediment Modeling Using Fuzzy Logic Approach, Hydrol. Processes 2006, 20 (20), 4351- 4362.
18. A. K. Lohani, N. K. Goel, K. K. S. Bhatia, Deriving Stage-Discharge-Sediment Concentration Relationships Using Fuzzy Logic, Hydrol. Sci. 2007, 52 (4), 793- 807.
19. M. Cobaner, B. Unal, O. Kisi, Suspended Sediment Concentration Estimation by an Adaptive Neuro-Fuzzy and Neural Network Approaches Using Hydro-Meteorological Data, J. Hydrol. 2009, 367 (1-2), 52- 61.
20. V. Babovic, Data Mining and Knowledge Discovery in Sediment Transport, Comput.-Aided Civ. Infrastruct. Eng. 2000, 15 (5), 383.
21. J. A. Zyserman, J. Fredsøe, Data Analysis of Bed Concentration of Suspended Sediment, J. Hydrol. Eng. 1994, 120 (9), 1021.
22. A. S. Kizhisseri, D. Simmonds, Y. Rafiq, M. Borthwick, An Evolutionary Computation Approach to Sediment Transport Modeling, in Proceedings of the Fifth International Conference on Coastal Dynamics, Barcelona, Spain 2005.
23. A. K. Singh, M. C. Deo, V. Sanil Kumar, Neural Network-Genetic Programming for Sediment Transport, ICE J. Marit. Eng. 2007, 160 (3), 113.
24. H. M. Azamathulla, C. K. Chang, A. Ab Ghani, Z. A. Hasan, N. A. Zakaria, An ANFIS-Based Approach for Predicting the Bed Load for Moderately-Sized Rivers, J. Hydro-environ. Res. 2010, 3 (1), 35- 344.
25. H. M. Azamathulla, A. Ab Ghani, N. A. Zakaria, C. K. Chang, Z. A. Hassan, Genetic Programming Approach to Predict Sediment Concentration for Malaysian Rivers, Int. J. Ecol. Econ. Stat. 2010, 16 (10), 53- 64.
26. O. Kisi, A. Guven, A Machine-Coded Genetic Programming for Suspended Sediment Concentration Estimation, Adv. Eng. Software 2010, 41 (7-8), 939- 945.
27. J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA 1992.
28. A. Guven, A. Aytek, M. I. Yuce, H. Aksoy, Genetic Programming-Based Empirical Model for Daily Reference Evapotranspiration Estimation, Clean: Soil, Air, Water 2008, 36 (10-11), 905.
29. C. Ferreira, in Soft Computing and Industry-Recent Applications (Eds.: R. Roy, M. Köppen, S. Ovaska, T. Furuhashi, F. Hoffmann), Springer, London 2001.
30. C. Ferreira, Gene Expression Programming: A New Adaptive Algorithm for Solving Problems, Complex Syst. 2001, 13 (2), 87.
31. R. I. Ferguson, River Loads Underestimated by Rating Curves, Water Resour. Res. 1986, 22 (1), 74.
32. A. Guven, M. Gunal, A Genetic Programming Approach for Prediction of Local Scour Downstream Hydraulic Structures, J. Irrig. Drain. Eng. 2008, 132 (4), 241.
33. H. M. Azamathulla, A. Ab Ghani, N. A. Zakaria, A. Guven, Genetic Programming to Predict Bridge Pier Scour, J. Hydraul. Eng. 2010, 136 (3), 165- 169.