Sediment transport modeling in circular smooth and rough rainwater transport pipes using factorial analysis, intelligence and empirical methods

Document Type : Research Article

Authors

1 Water resource engineering and management, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran

2 Civil Engineering Department, Tabriz University, Tabriz, Iran.

Abstract

Sedimentation is one of the serious problems in water and urban wastewater transport pipes, which disturbs the transport of water flow. In this study, the capability of the intelligence Gaussian Process Regression (GPR) approach was investigated in predicting sediment transport in circular rainwater transport pipes with smooth and rough beds. In this regard, at first, the hydraulic and sediment parameters which had the most correlation with sediment transport were determined using factorial analysis. Then, different models were developed using these parameters and were investigated via three experimental data series. Also, the accuracy of the obtained results was compared with the traditional techniques. The results showed the high efficiency of the intelligent GPR model in the prediction of sediment transport in rainwater transport pipes compared to the empirical methods based on non-linear regression techniques. For the two-mentioned hydraulic conditions of pipes, the model with input parameters λs, Fm, Dgr, d50/y, which are relative sediment size, non-dimensional sediment size, Froude number of sediments, and total roughness coefficient, respectively, was obtained as a superior model. The factorial and omitted sensitivity analysis showed that d50/y was the most effective parameter in the estimation of sediment transport in both smooth and rough pipes.

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Main Subjects


[1] R. W. P. May, Sediment transport in sewers, Hydraulic Research Station, Wallingford, England, Report IT 222, (1983).
[2] J. Bertrand, P. Briat, O. Scrivener, Sewer sediment production and transport modeling: A literature review, Journal of Hydraulic Research. 5 (2010) 24-32.
[3] D.S. Renaat, Validation of existing bed load transport formulas using in-sewer sediment. Journal of Hydraulic Engineering, 325 (2013) 37-48.
 [4] N. Vongvisessomjai, T. Tingsanchali, M. Babel, Non-deposition design criteria for sewers with part-full flow, Journal of Urban Water, 7(1) (2010) 61–77.
[5] J. J. Ota, G. S. Perrusquia, Particle velocity and sediment transport at the limit of deposition in sewers, Water Science and Technology, 67(5) (2013) 959-967.
[6] C. H. Bong, C. Chau, L. Qiu, Self-cleansing design of rectangular open storm sewer, 13th International Conference on Urban Drainage, Sarawak, Malaysia (2014). 
[7] K. Roushangar, R. Ghasempour, Monthly precipitation prediction improving using the integrated model based on kernel-wavelet and complementary ensemble empirical mode decomposition, Amirkabir Journal of Civil Engineering, DOI: 10.22060/ceej.2019.16043.6109, (2019). [in Persian]
[8] C. Siviapragasam, S. Liong, M.F.K. Pasha, Rainfall and runoff forcasting with SSA-SVM approach, Journal of Hydroinformatics, 3(3) (2001) 141-152.
 [9] K. Roushangar, R. Ghasempour, The study of the performance of classical and artificial intelligence methods in the estimation of roughness coefficients in meander rivers, Irrigation and Drainage Journal of Iran, 12(4) (2019) 811-822. [in Persian]
[10] W. Wang, K. Chau, C. T. Cheng, L. Qiu, A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series, Journal of Hydrology, 374(3-4) (2009) 294-306.
[11] Z. Razzaghzadeh, V. Nourani, N. Behfar, The conjunction of feature extraction method with AI-based ensemble statistical downscaling models, Amirkabir Journal of Civil Engineering, DOI: 10.22060/ceej.2018.14986.5806, (2018). [in Persian]
[12] S. Kumar, D. Tripathy, S. Nayak, S. Mohaparta, Prediction of rainfall in India using artificial neural network models, International Journal of Intelligent System and Applications, 12 (2013) 1-22.
[13] D. Nayak, A. Mahapatra, P. Mishra, A survey on rainfall prediction using artificial neural network, International Journal of Computer Applications, 72(16) (2013) 32-40.             
[14] ASCE, Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial Neural Networks in hydrology. I: Preliminary concepts, Hydrological Engineering, ASCE. 5(2) (2000) 115-123.
[15] I. Ebtehaj, B. Bonakdari, Evaluation of sediment transport in sewer using artificial neural network. Engineering Applications of Computational Fluid Mechanics, 7(3) (2013) 382–392.
[16] B. Bonakdari, I. Ebtehaj, I, Comparison of two data-driven approaches in estimation of sediment transport in sewer pipe. In E-proceedings of the 36th IAHR World Congress (pp. 1-11) (2015)..
[17] I. Ebtehaj, B. Bonakdari, M. Safari, B. Gharabaghi, A. Zaji, H. Madavar, Z. Khozani, M. Es-haghi, A. Shishegaran, A. Mehr, Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes. International Journal of Sediment Research, 35(2) (2020) 157-170.
[18] A. Ghani, Sediment Transport in Sewers, Ph.D Thesis, University of Newcastle Upon Tyne, UK, (1993).
[19] R. W. P. May, P. M. Brown,  G. R. Hare, K. D. Jones, Self-cleansing conditions for sewers carrying sediment, Report SR 221, Hydraulics Research Ltd., Wallingford, England, (1989).
[20] C.E. Rasmussen, C.K.I. Williams, Gaussian Processes for Machine Learning. The MIT Press, Cambridge, MA, (2006).
[21] C. Ferreria, 2001. Gene expression programming: a new adaptive algorithm for solving problems, Journal of Complex System 13(2) (2001) 87–129.
[22] U.  Tezcan, F. Ates, N. Erginel, O. Ozcan, E. Oduncu, Adsorption of disperse orange 30 dye onto activated carbon derived from Holm Oak (Quercus Ilex) acorns: A 3k factorial design and analysis, Environmental Management, 155 (2015) 77- 89.
[23] P. Neilson, 1992. Coastal bottom boundary layers and sediment transport, Advanced Series on Ocean Engineering, Vol.4, World Scientific, Singapore, (1992).
[24] P. Ackers, Sediment aspects of drainage and outfall design. Proc. Intern, Symposium on Environmental Hydraulics, Hong Kong, (1991).
[25] R. Mayerle, Sediment transport in rigid boundary channels, PhD thesis, University of Newcastle upon Tyne, England, (1988).
[26] E. M. Laursen, The hydraulics of a storm-drain system for sediment transporting flow, Bull. No 5, Iowa Institute of Hydraulic Research, (1956).
[27] R. W. P. May, Sediment transport in pipes and sewers with deposited beds. Report SR 320.25. Hydraulic Research Ltd., Wallingford, England, (1993).