IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/573894.html
   My bibliography  Save this article

A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm

Author

Listed:
  • Aijia Ouyang
  • Li-Bin Liu
  • Zhou Sheng
  • Fan Wu

Abstract

Nonlinear Muskingum models are important tools in hydrological forecasting. In this paper, we have come up with a class of new discretization schemes including a parameter to approximate the nonlinear Muskingum model based on general trapezoid formulas. The accuracy of these schemes is second order, if , but interestingly when , the accuracy of the presented scheme gets improved to third order. Then, the present schemes are transformed into an unconstrained optimization problem which can be solved by a hybrid invasive weed optimization (HIWO) algorithm. Finally, a numerical example is provided to illustrate the effectiveness of the present methods. The numerical results substantiate the fact that the presented methods have better precision in estimating the parameters of nonlinear Muskingum models.

Suggested Citation

  • Aijia Ouyang & Li-Bin Liu & Zhou Sheng & Fan Wu, 2015. "A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-15, July.
    • Handle: RePEc:hin:jnlmpe:573894
    DOI: 10.1155/2015/573894
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/573894.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2015/573894.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/573894?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:573894. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.