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Floods are among the most frequent and hazardous calamities worldwide. Climate change has intensified extreme precipitation and adversely impacted the health of rivers. One of the most significant flood events occurred in Kerala in 2018, causing devastating damage to many river basins. Among the most affected was the Periyar River. The limited number of gauging stations and the lack of an early warning system exacerbated the situation. To address this gap, we used the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) to analyze the effects of rainfall on surface runoff and peak discharges of the Periyar River in Kerala. Additionally, we developed a flood inundation map for the river basin using HEC-RAS. For modeling, two routing methods, namely the Muskingum-Cunge method and the Kinematic Wave method were employed. The Kinematic Wave method was identified as the most suitable for predicting the flood hydrograph of the Periyar River. The hydrograph and discharge data were predicted for Aluva, a location along the Periyar River that is highly prone to severe flooding. The resulting hydrograph is suitable for flood forecasting and serves as a valuable tool for recommending appropriate mitigation measures to government agencies. Furthermore, the inundation map developed using HEC-RAS through steady and unsteady flow simulations provides a useful resource for zoning the watershed and formulating town planning policies.

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Prediction of Flood Hydrograph of a Flood Affected Ungauged Station in Periyar River, India

  • 会议论文

  • 发表日期：

    2025年

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  • Rugma Sunil,
  • Rebecca Elsa Mathew,
  • Jefrin Joji,
  • Vishakh John Mathews,
  • K. L. Priya,
  • Athul M. Madhu,
  • Soufiane Haddout

摘要

Floods are among the most frequent and hazardous calamities worldwide. Climate change has intensified extreme precipitation and adversely impacted the health of rivers. One of the most significant flood events occurred in Kerala in 2018, causing devastating damage to many river basins. Among the most affected was the Periyar River. The limited number of gauging stations and the lack of an early warning system exacerbated the situation. To address this gap, we used the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) to analyze the effects of rainfall on surface runoff and peak discharges of the Periyar River in Kerala. Additionally, we developed a flood inundation map for the river basin using HEC-RAS. For modeling, two routing methods, namely the Muskingum-Cunge method and the Kinematic Wave method were employed. The Kinematic Wave method was identified as the most suitable for predicting the flood hydrograph of the Periyar River. The hydrograph and discharge data were predicted for Aluva, a location along the Periyar River that is highly prone to severe flooding. The resulting hydrograph is suitable for flood forecasting and serves as a valuable tool for recommending appropriate mitigation measures to government agencies. Furthermore, the inundation map developed using HEC-RAS through steady and unsteady flow simulations provides a useful resource for zoning the watershed and formulating town planning policies.