Estimation of suspended sediment yield flowing into Inanda Dam using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@MastersThesis{Jaiyeola:masters,
  author =       "Adesoji Tunbosun Jaiyeola",
  title =        "Estimation of suspended sediment yield flowing into
                 Inanda Dam using genetic programming",
  school =       "Durban University of Technology",
  year =         "2016",
  type =         "Master of Engineering",
  address =      "Durban, South Africa",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://hdl.handle.net/10321/1495",
  URL =          "http://ir.dut.ac.za/bitstream/handle/10321/1495/JAIYEOLA_2016.pdf",
  size =         "175 pages",
  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)...",
  notes =        "KwaZulu-Natal advisor Josiah Adeyemo",
}

Genetic Programming entries for Adesoji Tunbosun Jaiyeola

Citations