• DocumentCode
    1703898
  • Title

    The study on runoff series prediction in Middle Yellow River

  • Author

    Tao, Bai ; Jian-xia, Chang ; Huang Qiang ; Xing-li, Tian

  • Author_Institution
    Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xi´an Univ. of Technol., Xi´an, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1028
  • Lastpage
    1031
  • Abstract
    Taking into account the severe impact of human activities, complex utilization requires and sensitive and fragile eco-environment, the Middle Yellow River is selected for runoff prediction object. Based on analysis of runoff characteristics and influencing factors, Threshold Auto-Regressive Model, improved Weng Model and Mixture Regression Model are established for the runoff series prediction of control station on the middle Yellow River, Xiaolangdi station. Through the evaluation of the prediction effect of models, Mixture Regression model´s superiority and rationality are proved. Finally, research trends and implication prospects of annual runoff prediction are reviewed.
  • Keywords
    autoregressive processes; hydrology; regression analysis; rivers; China; Middle Yellow River; Weng model; Xiaolangdi station; ecoenvironment; human activity impact; mixture regression model; runoff characteristics analysis; runoff series prediction; threshold autoregressive model; Adaptation model; Analytical models; Biological system modeling; Humans; Predictive models; Rivers; Water resources; Mixture Regression model; Xiaolangdi station; annual runoff series; prediction effect; the middle Yellow River;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-339-1
  • Type

    conf

  • DOI
    10.1109/ISWREP.2011.5893188
  • Filename
    5893188