IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i13d10.1007_s11069-024-06677-z.html
   My bibliography  Save this article

Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing

Author

Listed:
  • Md. Nazir Hossain

    (Ministry of Public Administration, Government of Bangladesh, Currently working as Upazila Nirbahi Officer)

  • Umme Habiba Mumu

    (Government of Bangladesh. Currently working as Upazila Fisheries Officer)

Abstract

The Lower Teesta River basin in northern Bangladesh, which is prone to recurrent annual flooding, requires refined flood susceptibility analysis. In this context, this paper presents a novel approach for quantifying flood susceptibility in the Lower Teesta River Basin through the Analytical hierarchy process (AHP) and Multi-criteria decision analysis (MCDA) using geographic information system (GIS) and remote sensing techniques. Ten flood conditioning parameters were selected for flood susceptibility modelling, based on a comprehensive literature review and expert opinion. These parameters include the topographic wetness index (TWI), elevation, slope, rainfall, proximity to rivers and roads, soil type, drainage density, land use and land cover type, and the normalised difference vegetation index (NDVI). This comprehensive assessment resulted in the creation of an exact flood risk map that delineates areas within the basin that are prone to high or very high flood risk. The model was subjected to rigorous validation using ROC-AUC analysis, yielding an impressive AUC score of 0.848, underscoring its robust predictive capabilities. These results highlight the importance of continued monitoring and targeted flood risk reduction measures in this region, particularly in high-risk areas. Although the study was conducted on a regional scale, it has a broad readership appeal and impact that extends beyond the region. The approach employed in this study is transferable to a range of environmental settings, both within Bangladesh and globally.

Suggested Citation

  • Md. Nazir Hossain & Umme Habiba Mumu, 2024. "Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 12137-12161, October.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:13:d:10.1007_s11069-024-06677-z
    DOI: 10.1007/s11069-024-06677-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06677-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-024-06677-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:nathaz:v:120:y:2024:i:13:d:10.1007_s11069-024-06677-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.