IDEAS home Printed from https://ideas.repec.org/a/bnu/journl/v9y2017i3p81-89.html
   My bibliography  Save this article

Retrospective analysis of the transformation and forecast of the Dnipro river flow

Author

Listed:
  • V. Pichura

    (Kherson State Agraricultural University)

Abstract

The retrospective analysis and forecast of the Dnipro river flow with the use of multidimensional statistics and adaptive methods of nonlinear time series analysis are presented. Abnormal manifestations were detected using the mean square deviation and wavelet analysis, and the main periods of the water regime transformation for 190 years (1818-2008) were determined. As a result of nonlinear forecasting, it is determined that with the preservation of the tendency of forming the water regime of the Dnipro River with a 90% probability, there will be a small but stable trend-cyclical reduction of the average annual drainage of 1.6 m3/s per year and will be 1120±270 m3/s to 2040

Suggested Citation

  • V. Pichura, 2017. "Retrospective analysis of the transformation and forecast of the Dnipro river flow," Balanced Nature Using, Institute of agroecology and environmental management, vol. 9(3), pages 81-89, September.
    • Handle: RePEc:bnu:journl:v:9:y:2017:i:3:p:81-89
    as

    Download full text from publisher

    File URL: http://natureus.org.ua/repec/archive/3_2017/15.pdf
    Download Restriction: no
    ---><---

    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:bnu:journl:v:9:y:2017:i:3:p:81-89. 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: Olexii Shkuratov (email available below). General contact details of provider: https://edirc.repec.org/data/iaeemua.html .

    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.