IDEAS home Printed from https://ideas.repec.org/a/aoj/areaes/v12y2025i1p14-27id6936.html
   My bibliography  Save this article

Flood forecasting using HEC-HMS model for Sukkur district, Pakistan

Author

Listed:
  • Fatima Salman Awan
  • Dhananjay Singh
  • Nidhi Nagabhatla

Abstract

This study investigates the applicability of the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) for reliable flood forecasting in the Sukkur District, Pakistan, a lower Indus Basin region that suffers on average three major flood events per decade and experienced catastrophic inundation of over 1,200 km² of cropland during the 2022 monsoon. We delineated the 5,165 km² Sukkur watershed into eight sub-basins using a 30 m SRTM-derived DEM and applied HEC-HMS with locally calibrated parameters—initial and constant loss, SCS unit hydrograph, and constant monthly baseflow—driven by daily rainfall (2018–2022) from Guddu, Sukkur and Kotri stations and six-hourly discharge at the Sukkur gauge. Representing the first calibrated HEC-HMS application with an eight-subbasin configuration in the region, this approach provides improved spatial resolution over lumped models. Calibration on three flood peaks (July 2020, August 2021, August 2022) and validation against an independent September 2022 event yielded a Nash-Sutcliffe Efficiency of 0.92 and a Root Mean Square Error of 55 m³/s, while the model provided an 18-hour lead time for peak discharge forecasts. These results demonstrate HEC-HMS’s strong potential as an operational early-warning tool to enhance emergency preparedness and minimize flood impacts in Sukkur and underscore the value of integrating real-time telemetry networks, coupling with two-dimensional hydraulic models, and conducting comprehensive sensitivity analyses to further improve forecast accuracy and support decision-making.

Suggested Citation

  • Fatima Salman Awan & Dhananjay Singh & Nidhi Nagabhatla, 2025. "Flood forecasting using HEC-HMS model for Sukkur district, Pakistan," Asian Review of Environmental and Earth Sciences, Asian Online Journal Publishing Group, vol. 12(1), pages 14-27.
  • Handle: RePEc:aoj:areaes:v:12:y:2025:i:1:p:14-27:id:6936
    as

    Download full text from publisher

    File URL: https://www.asianonlinejournals.com/index.php/AREES/article/view/6936/3029
    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:aoj:areaes:v:12:y:2025:i:1:p:14-27:id:6936. 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: Sara Lim (email available below). General contact details of provider: http://asianonlinejournals.com/index.php/AREES/ .

    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.