Bedload transport of small rivers in Malaysia |
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Authors: | Zahra ZANGENEH SIRDARI Aminuddin AB GHANI Zorkeflee Abu HASSAN |
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Institution: | 1. REDAC, Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Penang, Malaysia 2. Prof. and deputy director of REDAC, Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Penang, Malaysia 3. Senior lecturer, REDAC, Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Penang, Malaysia |
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Abstract: | Numerous time-consuming equations,based on the relationship between the reliability and representativeness of the data utilized in defining variables and constants,require complex parameters to estimate bedload transport.In this study the easily accessible data including flow discharge,water depth,water surface slope,and surface grain diameter(d_(50)) from small rivers in Malaysia were used to estimate bedload transport.Genetic programming(GP)and artificial neural network(ANN) models are applied as complementary tools to estimate bed load transport based on a balance between simplicity and accuracy in small rivers.The developed models demonstrate higher performance with an overall accuracy of 97%and 93%for ANN and GP,respectively compared with other traditional methods and empirical equations. |
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Keywords: | Bedload transport Small rivers Genetic programming Artificial neural network |
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