Bedload Transport for Small Rivers in Malaysia

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@PhdThesis{Zangeneh-Sirdari:thesis,
  author =       "Zahra {Zangeneh Sirdari}",
  title =        "Bedload Transport for Small Rivers in Malaysia",
  school =       "River Engineering and Urban Drainage Research Centre
                 (REDAC), Universiti Sains Malaysia",
  year =         "2013",
  address =      "Malaysia",
  month =        may,
  keywords =     "genetic algorithms, genetic programming, ANN",
  URL =          "http://redac.eng.usm.my/html/postgrad/abstract_zahra.htm",
  URL =          "https://www.academia.edu/4147500/Bed_Load_Transport_of_Small_Rivers_in_Malaysia",
  size =         "311 pages",
  abstract =     "Bedload transport is an essential component of river
                 dynamics and estimation of bed load transport rate is
                 important for practical computations of river
                 morphological variations because the transport of
                 sediment through river channels has major effects on
                 public safety, water resources management and
                 environmental sustainability. Numerous well-known
                 bed-load equations are derived from limited flume
                 experiments or field conditions. These time-consuming
                 equations, based on the relationship between the
                 reliability and representativeness of the data used in
                 defining variables and constants, require complex
                 parameters to estimate bedload transport. Thus, a new
                 simple equation based on a balance between simplicity
                 and accuracy is necessary for using in small rivers. In
                 this study the easily accessible data including flow
                 discharge, water depth, slope, and surface grain
                 diameter d50 from the three small rivers in Malaysia
                 used to predict bedload transport. Genetic programming
                 (GP) and artificial neural network (ANN) models that
                 are particularly useful in data interpretation without
                 any restriction to an extensive database are presented
                 as complementary tools for modelling bed load transport
                 in small streams. The ability of GP and ANN as
                 precipitation predictive tools showed to be acceptable.
                 The developed models demonstrate higher performance
                 with an overall accuracy of 97percent for ANN and
                 93percent for GP compared with other traditional
                 methods and empirical equations.

                 A three-dimensional numerical model was applied to
                 study the bed morphology and bedload transport of the
                 junction of Ara and Kurau rivers for short term event
                 and for high flow with 100 ARI. SSIIM2 a 3D, k-epsilon
                 turbulence computational fluid dynamics model with an
                 adaptive, non-orthogonal and unstructured grid has been
                 used for modelling the hydrodynamic of confluence. The
                 numerical model was tested against field data from
                 Ara-Kurau confluence. Satisfactory agreement was found
                 between computed and measured bedload and bed elevation
                 in the field. The study indicates that numerical models
                 became a useful tool for predicting the bedload
                 transport rate in such complex dynamic environment. The
                 results have demonstrated that the short term
                 hydrologic variability can considerably influence the
                 morphodynamics of Ara-Kurau channel confluence and for
                 the different flow conditions the bedload transported
                 near to edge of shear layer. The coincidence of the
                 shear layer that was generated the considerable
                 turbulence indicated that the increasing turbulence
                 levels contribute substantially to the required
                 increase in bedload transport capacity. The simulation
                 results showed the grain size distribution on the bar
                 at the downstream junction corner is remarkably
                 constant and the particle size in the upstream part of
                 the bar is more affected by the changes in flow
                 conditions than the downstream end where the median
                 diameters not varied during the period.",
  title2 =       "PENGANGKUTAN BEBAN ENDAPAN DASAR UNTUK SUNGAI KECILDI
                 MALAYSIA",
  abstrak =      "Pengangkutan beban endapan dasar merupakan komponen
                 penting prosesdinamik sungai dan pengganggaran kadar
                 pengangkutan beban endapan dasar adalah penting untuk
                 pengiraan variasi morfologi sungai untuk tujuan
                 keselamatan umum, pengurusan sumber air dan alam
                 sekitar yang mampan. Pelbagai persamaan bebanendapan
                 yang terkenal adalah terhad kepada kajian eksperimen
                 saluran dalammakmal atau kajian tapak. Persamaan ini
                 yang dipengaruhi oleh kebolehpercayaandan perwakilan
                 data yang digunakan dalam menentukan pembolehubah dan
                 pemalar memerlukan parameter yang kompleks dalam
                 pengganggaran pengangkutan bebanendapan. Oleh itu, satu
                 persamaan baru yang mudah dan tepat adalah perlu untuk
                 kegunaan di sungai-sungai kecil. Dalam kajian ini, data
                 yang mudah diperolehiseperti kadar alir, kedalaman
                 sungai, kecerunan sungai dan saiz diameter zarahendapan
                 permukaan daripada tiga sungai kecil di Malaysia
                 digunakan untuk meramal pengangkutan endapan dasar.
                 Model genetic programming (GP) danartificial neural
                 network (ANN) adalah berguna dalam menafsir data tanpa
                 sebaranghad untuk pangkalan data yang luas digunakan
                 sebagai alat untuk pemodelan pengangkutan beban endapan
                 untuk sungai-sungai kecil. Keupayaan GP dan ANN untuk
                 meramal data hujan adalah memuaskan. Model yang
                 diperolehi menunjukkankejituan yang tinggi dengan
                 ketepatan keseluruhan sebanyak 97percent untuk ANN
                 dan93percent untuk GP berbanding dengan kaedah
                 konvensional dan persamaan empirical.

                 Satu model numerikal tiga dimensi telah digunakan untuk
                 mengkaji morfologidasar dan pengangkutan beban endapan
                 dasar sungai di pertemuan Sungai Ara dan Kurau untuk
                 jangka masa pendek dengan kadar alir tinggi pada 100
                 ARI. Model tigadimensi SSIIM2 dengan k-epsilon aliran
                 gelora yang merupakan model pengiraan bendalir dinamik
                 dengan grid adaptif, bukan ortogon dan tidak
                 berstruktur telahdigunakan untuk pemodelan hidrodinamik
                 pertemuan sungai. Model numerikal initelah diuji dengan
                 data dari kajian tapak di pertemuan Ara-Kurau.
                 Ketepatan yangmemuaskan telah didapati di antara data
                 endapan dasar dan aras dasar yang dianggar dengan yang
                 dicerap di tapak. Kajian menunjukkan bahawa model
                 numerikalmerupakan alat yang berguna dalam meramal
                 kadar pengangkutan beban dasar dikawasan yang
                 bersekitaran dinamik kompleks. Keputusan menunjukkan
                 bahawa perubahan hidrologi jangka pendek boleh
                 mempengaruhi morfo-dinamik pertemuanAra-Kurau. Untuk
                 keadaan aliran yang berbeza, pengangkutan endapan dasar
                 berhampiran pinggir lapisan ricih dan juga lapisan
                 ricih yang menyebabkan alirangelora menunjukkan
                 peningkatan aliran gelora menyumbang kepada
                 peningkatankapasiti pengangkutan endapan beban dasar
                 sungai. Keputusan simulasimenunjukkan taburan saiz
                 zarah beting pasir di tepi hilir pertemuan sungai
                 adalahtidak berubah dimana saiz median tidak berubah
                 sepanjang tempoh kajian manakalasaiz zarah di hulu
                 beting pasir adalah lebih dipengaruhi oleh keadaan
                 aliran.",
  notes =        "In english. P-RED0005. Case Study of Kurau
                 River

                 Supervisors Prof. Dr. Aminuddin Ab. Ghani and Mr.
                 Zorkeflee Abu Hasan",
}

Genetic Programming entries for Zahra Zangeneh Sirdari

Citations