IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i4d10.1007_s11069-024-06928-z.html
   My bibliography  Save this article

Hydrological modeling of the selected flash flood-prone rivers

Author

Listed:
  • Aysha Akter

    (Chittagong University of Engineering &Technology)

  • Fahim Shahriar Sawon

    (Chittagong University of Engineering &Technology)

Abstract

The flash flood of Sylhet in North-Eastern Bangladesh is generally caused by heavy rainfall. The most devastating flash floods occurred in 1988, 2007, 2010, 2017, and 2022. This study comprises three hydrological models using HEC-HMS in this work for the catchments of the Sari-Gowain River, Surma–Meghna River, Piyan River, and Dhala River, with a combined drainage area of around 4405 km2. For this study, the observed rainfall dataset was from the Bangladesh Meteorological Department (BMD), and discharge and water level data were collected from the Bangladesh Water Development Board (BWDB). To develop the HEC-HMS model, the SCS unit hydrograph, SCS Curve number, and the Muskingum method were used as the transform parameter, the loss technique, and the routing parameter. Event-based and continuous hydrologic simulations were tested in hydrological modeling. The hydrologic model was simulated for 2009–2022 and validated with the secondary observed dataset. The event-based validation has carried out Nash–Sutcliffe efficiency and R2 for the Surma–Meghna (0.71 and 0.79), Dhala River (0.40 and 0.46), Piyan River (0.49 and 0.5), and Sari-Gowain River (0.62 and 0.66) respectively. A reasonable model performance was obtained for the Surma–Meghna and Sari-Gowain rivers. Due to the lack of a continuous dataset, continuous hydrologic simulation of this study was not recommended. An event-based model is expected to be helpful in the decision support system for future planning.

Suggested Citation

  • Aysha Akter & Fahim Shahriar Sawon, 2025. "Hydrological modeling of the selected flash flood-prone rivers," 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. 121(4), pages 3997-4021, March.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:4:d:10.1007_s11069-024-06928-z
    DOI: 10.1007/s11069-024-06928-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06928-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/s11069-024-06928-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.

    References listed on IDEAS

    as
    1. Yan Fang & Jie Yin & Bihu Wu, 2016. "Flooding risk assessment of coastal tourist attractions affected by sea level rise and storm surge: a case study in Zhejiang Province, China," 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. 84(1), pages 611-624, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu Duan & Junnan Xiong & Weiming Cheng & Nan Wang & Yi Li & Yufeng He & Jun Liu & Wen He & Gang Yang, 2022. "Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region," 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. 110(1), pages 269-294, January.
    2. Qi Liao & Ge Yu & Wensheng Jiang & Chunxia Lu & Yan Ma & Kexiu Liu & Qun Lin & Yanping Wang, 2019. "Research on the Risk Assessment of Qingdao Marine Disaster Based on Flooding," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    3. Tengjiao Guo & Guosheng Li, 2020. "Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor analysis," 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. 100(2), pages 515-534, January.
    4. Aysha Jennath & Saikat Paul, 2024. "A multi-risk approach for projecting climate change-associated coastal flood, applied to India," 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(5), pages 4581-4600, March.

    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:121:y:2025:i:4:d:10.1007_s11069-024-06928-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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.