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The Role of Channel Modification in Flood Mitigation: A Study Using HEC-RAS

Author

Listed:
  • Anurag Yadav

    (MNNIT Allahabad)

  • Raj Mohan Singh

    (MNNIT Allahabad)

Abstract

Floods frequently threaten settlements near river floodplains, leading to significant loss of life and property. Flood modeling is an essential tool for understanding and managing the risks associated with flooding. Reducing the inundation area within the floodplain is critical for effective flood management, serving as a key indicator of flood mitigation success. In this study, channel modifications are examined as a primary approach to reducing floodplain inundation. The impact of these modifications on flood mitigation was simulated using HEC-RAS (Hydrologic Engineering Centre–River Analysis System) version 6.1.0 software. A 15 km stretch of the Rapti River, a tributary of the Ghaghara River, and its floodplain were selected as the study area. The model was run under various scenarios, incorporating different flow rates and modified channel geometries, including a modified channel and a cutoff channel. For each scenario, flood inundation area, water depth, and flow velocity within the two-dimensional (2D) flow area were analyzed. The results showed a substantial reduction in floodplain inundation area, water depth, and velocity in modified channels compared to the original channel. Specifically, there was a 46% reduction in inundation area for the modified channel and a 49% reduction for the cutoff channel, relative to the original unmodified channel. These findings indicate that this approach could be an effective flood mitigation measure for similar flood-prone areas.

Suggested Citation

  • Anurag Yadav & Raj Mohan Singh, 2025. "The Role of Channel Modification in Flood Mitigation: A Study Using HEC-RAS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(6), pages 2841-2855, April.
  • Handle: RePEc:spr:waterr:v:39:y:2025:i:6:d:10.1007_s11269-025-04094-w
    DOI: 10.1007/s11269-025-04094-w
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    References listed on IDEAS

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    1. Xuan Li & Xiaoping Zhou & Jingming Hou & Yuan Liu & Shuhong Xue & Huan Ma & Bowen Su, 2024. "A Hydrodynamic Model and Data-Driven Evolutionary Multi-Objective Optimization Algorithm Based Optimal Operation Method for Multi-barrage Flood Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(11), pages 4323-4341, September.
    2. Nie Zhou & Jingming Hou & Hua Chen & Guangzhao Chen & Bingyi Liu, 2024. "A Rapid Forecast Method for the Process of Flash Flood Based on Hydrodynamic Model and KNN Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(6), pages 1903-1919, April.
    3. Anurag Yadav & Raj Mohan Singh & Mahesh Kumar Pandey & Shiv Prasad Maurya & Sujeet Kumar Singh, 2024. "Hydrodynamic modelling of river training works for protection of group of villages on the left bank of Ramganga River: a case study," 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(15), pages 14889-14904, December.
    4. Shokoufeh Khojeh & Behzad Ataie-Ashtiani & Seiyed Mossa Hosseini, 2022. "Effect of DEM resolution in flood modeling: a case study of Gorganrood River, Northeastern Iran," 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. 112(3), pages 2673-2693, July.
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