IDEAS home Printed from https://ideas.repec.org/a/vrs/itmasc/v16y2013i1p42-46n6.html
   My bibliography  Save this article

Water Flow Forecasting and River Simulation for Flood Risk Analysis

Author

Listed:
  • Merkuryeva Galina V.

    (Riga Technical University)

  • Kornevs Maksims

    (Royal Institute of Technology Maksims Kornevs earned his Mg.sc.ing in Information Technology in 2013 from Riga Technical University. Currently he is a Doctoral Student and a Research Engineer at the Royal Institute of Technology (Stockholm, Sweden) working on testing the use of life cycle assessment in road procurement using gaming simulation.)

Abstract

The paper presents the state-of-the-art in flood forecasting and simulation applied to a river flood analysis and risk prediction. Different water flow forecasting and river simulation models are analysed. An advanced river flood forecasting and modelling approach developed within the ongoing project INFROM is described. It provides an integrated procedure for river flow forecasting and simulation advanced by integration of different models for improving predictions of the river flood risk outputs. A case study on river flow modelling and simulation for river flood risk analysis is given

Suggested Citation

  • Merkuryeva Galina V. & Kornevs Maksims, 2013. "Water Flow Forecasting and River Simulation for Flood Risk Analysis," Information Technology and Management Science, Sciendo, vol. 16(1), pages 42-46, December.
    • Handle: RePEc:vrs:itmasc:v:16:y:2013:i:1:p:42-46:n:6
    DOI: 10.2478/itms-2013-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/itms-2013-0006
    Download Restriction: no
    File URL: https://libkey.io/10.2478/itms-2013-0006?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:vrs:itmasc:v:16:y:2013:i:1:p:42-46:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.