Bedload Transport for Small Rivers in Malaysia

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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