HYDRAULICS. ENGINEERING HYDROLOGY. HYDRAULIC ENGINEERING

An alternative approach to assessing feasibility of flushing sediment from reservoirs

Vestnik MGSU 6/2014
  • Elfimov Valeriy Ivanovich - Peoples Friendship University of Russia (PFUR) Candidate of Technical Sciences, Associate Professor, Department of Hydraulics and Hydraulic Engineering Structures, Peoples Friendship University of Russia (PFUR), 6 Miklukho-Maklaya str., Moscow, 117198, Russian Federation; +7 (495) 9520831; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Khakzad Hamid - Peoples Friendship University of Russia (PFUR) postgraduate student, Department of Hydraulics and Hydraulic Engineering Structures, Peoples Friendship University of Russia (PFUR), 6 Miklukho-Maklaya str., Moscow, 117198, Russian Federation; +7 (495) 9520831; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 126-136

Effective parameters on feasibility of sediment flushing through reservoirs include hydrological, hydraulic, and topographic properties of the reservoirs. In this study, the performances of the Decision tree forest (DTF) and Group method of data handling (GMDH) for assessing feasibility of flushing sediment from reservoirs, were investigated. In this way, Decision tree Forest, that combines multiple Decision tree, used to evaluate the relative importance of factors affecting flushing sediment. At the second step, GMDH deployed to predict the feasibility of flushing sediment from reservoirs. Results indicate that these models, as an efficient novel approach with an acceptable range of error, can be used successfully for assessing feasibility of flushing sediment from reservoirs.

DOI: 10.22227/1997-0935.2014.6.126-136

References
  1. Muhammad A.C., Habib U.R. Worldwide Experience of Sediment Flushing Through Reservoirs. Journal of Engineering & Technology Mehran University Research. 2012, no. 31 (3), pp. 395—408.
  2. Morris G., Fan J. Reservoir Sedimentation Handbook; Design and Management of Dams, Reservoirs and Watersheds for Sustainable Use. New York, McGraw Hill, 1997.
  3. D’Rohan W. The Silting Up of Reservoirs and Canals and Some Methods for Preventing Same. Engin. and Contract. 1911, vol. 35, pp. 56—58.
  4. White W.R. A Review of Current Knowledge World Water Storage in Man-Made Reservoirs, FR/R0012. The Listons, Liston Road, Marlow, Foundation for Water Research Allen House, 2005, p. 40.
  5. Qian N. Reservoir sedimentation and slope stability; technical and environmental effects. Fourteenth International Congress on Large Dams, Transactions. Rio de Janeiro, Brazil, 1982, 3-7 May, vol. III, pp. 639—690.
  6. Ackers P. and Thompson G. Reservoir sedimentation and influence of flushing. In Sediment Transport in Gravel-bed Rivers, C.R. Thorne, J.C. Bathurst, and R.D. Hey, eds, John Wiley & Sons, Chichester, 1987, pp. 845—868.
  7. Mahmood K. Reservoir Sedimentation: Impact, Extent, and Mitigation. World Bank Technical. Washington, D.C., 1987, рр. 71, 118.
  8. Atkinson E. The Feasibility of Flushing Sediment from Reservoirs. HR Wallingford, UK, 1996, Report no. OD 137, pp. 21.
  9. Lai J.S. and Shen H.W. Flushing sediment through reservoirs. Journal of Hydraulic Research. 1996, vol. 34, no. 2, pp. 237—255.
  10. Kunwar P.S., Shikha G., Premanjali R. Identifying Pollution Sources and Predicting Urban Air Quality Using Ensemble Learning Methods. Atmospheric Environment. 2013, vol. 80, pp. 426—437. DOI: 10.1016/j.atmosenv.2013.08.023.
  11. Efron B. Bootstrap Methods: another Look at the Jackknife. The Annals of Statistics. 1979, vol. 7, no. 1, pp. 1—26.
  12. Erdal H.I., Karakurt O. Advancing Monthly Stream Flow Prediction Accuracy of CART Models Using Ensemble Learning Paradigms. Journal of Hydrology, 2013, vol. 477, pp. 119—128. DOI: 10.1016/j.jhydrol.2012.11.015.
  13. Wang G., Hao J., Ma J., Jiang H. A comparative assessment of ensemble learning for credit scoring. Expert Systems with Applications. 2011, vol. 38, no. 1, рр. 223—230.
  14. Ivahnenko A.G. Polynomial Theory of Complex Systems. IEEE Transactions on Systems, Man, and Cybernetics. 1971, pp. 364—378. DOI: 10.1109/TSMC.1971.4308320.
  15. Farlow SJ, editor. Self-organizing Method in Modeling: GMDH Type Algorithm. Marcel Dekker Inc., New York, 1984.

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