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Journal of Hydraulic Research Volume 47, 2009 - Issue 2
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RESEARCH PAPERS

Artificial neural network for bedload estimation in alluvial rivers

Mustafa Sasal Department of Civil Engineering, University of Ottawa, 161 Louis Pasteur St., Ottawa, ON, K1N 6N5, Canada Phone: +1613 5625800 ext. 6875
,
Shalini Kashyap Department of Civil Engineering, University of Ottawa, 161 Louis Pasteur St., Ottawa, ON, K1N 6N5, Canada
,
Colin D. Rennie Department of Civil Engineering, University of Ottawa, 161 Louis Pasteur St., Ottawa, ON, K1N 6N5, Canada
&
Ioan Nistor Department of Civil Engineering, University of Ottawa, 161 Louis Pasteur St., Ottawa, ON, K1N 6N5, Canada
Pages 223-232 | Received 10 Jun 2008, Published online: 26 Apr 2010

Citations (15)

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Read on this site (3)

Shehnaz Ara Rahman & Dibakar Chakrabarty. (2022) Effect of input-target datasets on sediment transport modelling in alluvial rivers using artificial neural network. Hydrological Sciences Journal 67:2, pages 205-221.
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Seyed Abbas Hosseini, Abbas Abbaszadeh Shahri & Reza Asheghi. (2022) Prediction of bedload transport rate using a block combined network structure. Hydrological Sciences Journal 67:1, pages 117-128.
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Bimlesh Kumar. (2012) Neural network prediction of bed material load transport. Hydrological Sciences Journal 57:5, pages 956-966.
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Articles from other publishers (12)

Rohan Kar & Arindam Sarkar. (2023) Assessment of the fraction of bed load concentration towards the sediment transport of a monsoon-dominated river basin of Eastern India. Journal of Geographical Sciences 33:5, pages 1023-1054.
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Kiyoumars Roushangar, Saman Shahnazi & Hazi Mohammad Azamathulla. 2023. River Dynamics and Flood Hazards. River Dynamics and Flood Hazards 223 240 .
Amin Mahdavi-Meymand, Wojciech Sulisz & Mohammad Zounemat-Kermani. (2022) A comprehensive study on the application of firefly algorithm in prediction of energy dissipation on block ramps. Eksploatacja i Niezawodność – Maintenance and Reliability 24:2, pages 200-210.
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Reza Asheghi, Seyed Abbas Hosseini & Mojtaba Sanei. (2021) Intelligent hybridized modeling approach to predict the bedload sediments in gravel-bed rivers. Modeling Earth Systems and Environment 8:2, pages 1991-2000.
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Kiyoumars Roushangar, Saman Shahnazi & Hazi Mohammad Azamathulla. (2022) Partitioning strategy for investigating the prediction capability of bed load transport under varied hydraulic conditions: Application of robust GWO-kernel-based ELM approach. Flow Measurement and Instrumentation 84, pages 102136.
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Reza Asheghi & Seyed Abbas Hosseini. (2020) Prediction of bed load sediments using different artificial neural network models. Frontiers of Structural and Civil Engineering 14:2, pages 374-386.
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K. Roushangar & S. Shahnazi. (2019) Bed load prediction in gravel-bed rivers using wavelet kernel extreme learning machine and meta-heuristic methods. International Journal of Environmental Science and Technology 16:12, pages 8197-8208.
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Ed Gazendam, Bahram Gharabaghi, Josef D. Ackerman & Hugh Whiteley. (2016) Integrative neural networks models for stream assessment in restoration projects. Journal of Hydrology 536, pages 339-350.
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Kiyoumars Roushangar & Ali Koosheh. (2015) Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers. Journal of Hydrology 527, pages 1142-1152.
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Kiyoumars Roushangar, Fatemeh Vojoudi Mehrabani & Jalal Shiri. (2014) Modeling river total bed material load discharge using artificial intelligence approaches (based on conceptual inputs). Journal of Hydrology 514, pages 114-122.
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Arman Haddadchi, Neshat Movahedi, Neshat Vahidi, Mohammad Hossein Omid & Amir Ahmad Dehghani. (2013) Evaluation of suspended load transport rate using transport formulas and artificial neural network models (Case study: Chelchay Catchment). Journal of Hydrodynamics 25:3, pages 459-470.
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M.L. Schmelter, S.O. Erwin & P.R. Wilcock. (2012) Accounting for uncertainty in cumulative sediment transport using Bayesian statistics. Geomorphology 175-176, pages 1-13.
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