• DocumentCode
    182962
  • Title

    Simplified approach for flood estimation and propagation

  • Author

    Drobot, Radu ; Dinu, Cristian ; Draghia, Aurelian ; Adler, Mary Jeanne ; Corbus, Ciprian ; Matreata, Marius

  • Author_Institution
    Dept. of Hydrotechnic Eng., Tech. Univ. of Civil Eng., Bucharest, Romania
  • fYear
    2014
  • fDate
    22-24 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The river basins and water management systems are characterized by a high degree of complexity. In order to find the best operation rules of the reservoirs during floods all other time consuming data processing (like flood wave propagation) should be simplified at maximum. For this purpose, the Genetic Programming (GP) approach was used. The GP transfer functions derived for flood propagation provide an excellent agreement with the floods propagation based on Saint Venant equations, but without time and other resources consuming. The synthetic floods of the ungauged tributaries keeping the same probability of exceedance along the main river were derived using regionalization studies. The proposed approach was tested for Sitna and Miletin river, two main tributaries of Jijia river.
  • Keywords
    environmental management; floods; genetic algorithms; reservoirs; rivers; shallow water equations; transfer functions; GP transfer functions; Miletin river; Saint Venant equations; Sitna river; flood estimation; flood management; flood propagation; genetic programming; reservoir operation rules; river basins system; river tributaries; water management system; Discharges (electric); Floods; Genetic programming; Mathematical model; Reservoirs; Rivers; Transfer functions; Genetic Programming; floods; parameters; propagation; regionalisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-3731-8
  • Type

    conf

  • DOI
    10.1109/AQTR.2014.6857921
  • Filename
    6857921