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ORIGINAL RESEARCH article

Front. Earth Sci.

Sec. Geohazards and Georisks

Volume 13 - 2025 | doi: 10.3389/feart.2025.1570577

This article is part of the Research Topic Natural Disaster Prediction Based on Experimental and Numerical Methods View all 6 articles

A Riverbank Erosion Early Warning System: A Case Study of the Braided Brahmaputra-Jamuna River

Provisionally accepted
Shampa Shampa Shampa Shampa 1*Hussain Muhammad Muktadir Hussain Muhammad Muktadir 1Israt Jahan Nijum Israt Jahan Nijum 1Md. Majurul Hussain Md. Majurul Hussain 1Anup Bhowmik Anup Bhowmik 2Nazmul Islam Ananto Nazmul Islam Ananto 2Fardin Anam Aungon Fardin Anam Aungon 2Showvik Biswas Showvik Biswas 2Mohammad Muddassir Islam Mohammad Muddassir Islam 1
  • 1 Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
  • 2 Bangladesh University of Engineering and Technology, Dhaka, Dhaka, Bangladesh

The final, formatted version of the article will be published soon.

    Braided rivers are distinguished by numerous bars and channels, along with their regular alterations. This unique character of braided rivers induces bank adjustment through erosion or accretion, and when erosion occurs in populated regions, it results in significant disasters. To address this calamity, we propose an early erosion system called EWS-RE. Here the warning for riverbank erosion was issued utilizing the numerical simulations of a 2D hydro-morphological model of the Brahmaputra-Jamuna. We integrated the GloFAS seasonal forecasts with over sixty years of hydraulic river forcing them to establish the boundary conditions for the forecast model. The high-resolution braided river bathymetry was produced utilizing a modified passive bathymetry technique utilizing satellite imagery and limited measured cross-sectional data. The detailed model results and riverbank erosion were juxtaposed with the actual conditions of the year 2019. The spatial erosion accuracy was assessed at 88%, with a sensitivity of 88%, and falls within a 95% confidence interval. The field testing of the warning was performed for the year 2023 and demonstrated an accuracy of 70% along the river. We expect that our stated framework will help to alleviate the impacts of riverbank erosion disasters through early warning.

    Keywords: Passive bathymetry, braided river, Brahmaputra-Jamuna, numerical modelling, Riverbank erosion early warning

    Received: 03 Feb 2025; Accepted: 03 Apr 2025.

    Copyright: © 2025 Shampa, Muktadir, Nijum, Hussain, Bhowmik, Ananto, Aungon, Biswas and Islam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Shampa Shampa, Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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