• Title of article

    A case study of flood dynamic wave simulation in natural waterways using numerical solution of unsteady flows

  • Author/Authors

    ميرزازاده، پ نويسنده Civil Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran Mirzazadeh, P. , اكبري، غ. ع. نويسنده Department of Agronomy, Abooreihan Campus, University of Tehran, Pakdasht Akbari, .GH .Ab

  • Issue Information
    فصلنامه با شماره پیاپی 0 سال 2012
  • Pages
    11
  • From page
    67
  • To page
    77
  • Abstract
    Flood routing has many applications in engineering projects and helps designers in understanding the flood flow characteristics in river flows. Floods are taken unsteady flows that vary by time and location. Equations governing unsteady flows in waterways are continuity and momentum equations which in case of one-dimensional flow the Saint-Venant hypothesis is considered. Dynamic wave model as one of the flood routing methods is used for flooding operations because of its high accuracy. Finding the best numerical methods is the main challenge for optimal modeling of dynamic waves and predicting the flood behavior. In this study, a 78-km reach of Ghare-Aghaj River (between two hydrometric stations) is investigated and in addition to the unsteady flow equations (nonlinear Hyperbolic partial differential equations), Preissman implicit scheme and Mac Cormak explicit scheme which are both based on the finite difference numerical methods have been used. Developed models have also been compared with one of the most reliable Mike series computer program. It is aimed to find the most suitable finite difference scheme by comparing the results of two above schemes with the results of Mike 11 program. The results confirmed the superiority of Preissmann implicit scheme in predicting flood wave characteristics for the studied area.
  • Journal title
    Computational Methods in Civil Engineering(CMCE)
  • Serial Year
    2012
  • Journal title
    Computational Methods in Civil Engineering(CMCE)
  • Record number

    1116743