IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i4p2255-2263id8361.html
   My bibliography  Save this article

Mathematical model of mudflow breakthrough, taking into account the decrease in the volume of water in the reservoir

Author

Listed:
  • Talgat Mazakov
  • Gulzat Ziyatbekova
  • Sholpan Jomartova
  • Aigerim Mazakova
  • Yestay Mergengali

Abstract

Over the past 15 years, Kazakhstan has experienced numerous devastating floods and mudflows, which have resulted in human casualties and significant economic damage. In particular, events in the Almaty region (2010), the Karaganda region (2014), and the northern and western regions (2024) highlighted the need to create effective monitoring systems for hydraulic structures. The purpose of this work is to determine the parameters of the mathematical model describing the breakthroughs of debris flows through hydraulic structures such as dams and weirs. Achieving this goal will allow us to correlate the developed model with real observations and data. This paper presents a forecasting system capable of assessing the consequences of mudflows. The developed system is based on mathematical modeling methods. Unlike analogues, the proposed model takes into account both the parameters of the reservoir and the features of the river bed. To implement the system in practice, software was created in Python. The experiments showed that the model reliably reflects real conditions and can be successfully applied in various scenarios.

Suggested Citation

  • Talgat Mazakov & Gulzat Ziyatbekova & Sholpan Jomartova & Aigerim Mazakova & Yestay Mergengali, 2025. "Mathematical model of mudflow breakthrough, taking into account the decrease in the volume of water in the reservoir," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(4), pages 2255-2263.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:4:p:2255-2263:id:8361
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/8361/1879
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:aac:ijirss:v:8:y:2025:i:4:p:2255-2263:id:8361. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.