Estimation of suspended sediment yield flowing into Inanda Dam using genetic programming
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- @MastersThesis{Jaiyeola:masters,
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author = "Adesoji Tunbosun Jaiyeola",
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title = "Estimation of suspended sediment yield flowing into
{Inanda Dam} using genetic programming",
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school = "Durban University of Technology",
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year = "2016",
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type = "Master of Engineering",
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address = "Durban, South Africa",
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month = dec,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://hdl.handle.net/10321/1495",
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URL = "http://ir.dut.ac.za/bitstream/handle/10321/1495/JAIYEOLA_2016.pdf",
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size = "175 pages",
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abstract = "Reservoirs are designed to specific volume called the
dead storage to be able to withstand the quantity of
particles in the rivers flowing into it during its
design period called its economic life. Therefore,
accurate calculation of the quantities of sediment
being transported is of great significance in
environment engineering, hydroelectric equipment
longevity, river aesthetics, pollution and channel
navigability. In this study different input combination
of monthly upstream suspended sediment concentration
and upstream flow dataset for Inanda Dam for 15 years
was used to develop a model for each month of the year.
The predictive abilities of each of the developed model
to predict the quantity of suspended sediment flowing
into Inanda Dam were also compared with those of the
corresponding developed Sediment Rating Curves using
two evaluation criteria - Determination of Coefficient
(R 2 ) and Root-Mean-Square Error (RMSE). The results
from this study show that a genetic programming
approach can be used to accurately predict the
relationship between the streamflow and the suspended
sediment load flowing into Inanda Dam. The twelve
developed monthly genetic programming (GP)...",
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notes = "KwaZulu-Natal advisor Josiah Adeyemo",
- }
Genetic Programming entries for
Adesoji Tunbosun Jaiyeola
Citations