• DocumentCode
    3863248
  • Title

    A review on flood modelling and rainfall-runoff relationships

  • Author

    Khairah Jaafar;Nurlaila Ismail;Mazidah Tajjudin;Ramli Adnan;Mohd Hezri Fazalul Rahiman

  • Author_Institution
    Faculty of Electrical Engineering, UiTM Shah Alam, Selangor, Malaysia
  • fYear
    2015
  • Firstpage
    158
  • Lastpage
    162
  • Abstract
    This paper presents a review on flood modeling and rainfall-runoff relationships. It was found many methods have been used by previous researches to solve the problem in flood modeling. The suitable techniques were applied based on flood modeling parameters and watershed intensity. Understanding on the rainfall-runoff relationships is one of the requirement and necessity in hydrometeorology. Thus, the studies carried out previously provide the significant result contributed to flood modeling. Reviews in this study also contain analyses and comparison between advantages and disadvantages of method used. It also reveals that the characteristics of rainfall-runoff data influence the successful of model application in flood prediction.
  • Keywords
    "Floods","Artificial neural networks","Autoregressive processes","Predictive models","Adaptation models","Data models","Rivers"
  • Publisher
    ieee
  • Conference_Titel
    Control and System Graduate Research Colloquium (ICSGRC), 2015 IEEE 6th
  • Type

    conf

  • DOI
    10.1109/ICSGRC.2015.7412484
  • Filename
    7412484