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Real-time flood forecasting using an integrated hydrologic and hydraulic model for the Vamsadhara and Nagavali basins, Eastern India

Author

Listed:
  • G. Venkata Rao

    (National Institute of Technology Warangal)

  • Nageswara Reddy Nagireddy

    (National Institute of Technology Warangal)

  • Venkata Reddy Keesara

    (National Institute of Technology Warangal)

  • Venkataramana Sridhar

    (Virginia Polytechnic Institute and State University)

  • Raghavan Srinivasan

    (Texas A&M University)

  • N. V. Umamahesh

    (National Institute of Technology Warangal)

  • Deva Pratap

    (National Institute of Technology Warangal)

Abstract

Due to recent rainfall extremes and tropical cyclones that form over the Bay of Bengal during the pre- and post-monsoon seasons, the Nagavali and Vamsadhara basins in India experience frequent floods, causing significant loss of human life and damage to agricultural lands and infrastructure. This study provides an integrated hydrologic and hydraulic modeling system that is based on the Soil and Water Assessment Tool model and the 2-Dimensional Hydrological Engineering Centre-River Analysis System, which simulates floods using Global Forecasting System rainfall forecasts with a 48-h lead time. The integrated model was used to simulate the streamflow, flood area extent, and depth for the historical flood events (i.e., 1991–2018) with peak discharges of 1200 m3/s in the Nagavali basin and 1360 m3/s in the Vamsadhara basin. The integrated model predicted flood inundation depths that were in good agreement with observed inundation depths provided by the Central Water Commission. The inundation maps generated by the integrated modeling system with a 48-h lead time for tropical cyclone Titli demonstrated an accuracy of more than 75%. The insights gained from this study will help the public and government agencies make better decisions and deal with floods.

Suggested Citation

  • G. Venkata Rao & Nageswara Reddy Nagireddy & Venkata Reddy Keesara & Venkataramana Sridhar & Raghavan Srinivasan & N. V. Umamahesh & Deva Pratap, 2024. "Real-time flood forecasting using an integrated hydrologic and hydraulic model for the Vamsadhara and Nagavali basins, Eastern 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(7), pages 6011-6039, May.
  • Handle: RePEc:spr:nathaz:v:120:y:2024:i:7:d:10.1007_s11069-023-06366-3
    DOI: 10.1007/s11069-023-06366-3
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    References listed on IDEAS

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    1. Lariyah Mohd Sidek & Aminah Shakirah Jaafar & Wan Hazdy Azad Wan Abdul Majid & Hidayah Basri & Mohammad Marufuzzaman & Muzad Mohd Fared & Wei Chek Moon, 2021. "High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    2. Koppuravuri Ramabrahmam & Venkata Reddy Keesara & Raghavan Srinivasan & Deva Pratap & Venkataramana Sridhar, 2021. "Flow Simulation and Storage Assessment in an Ungauged Irrigation Tank Cascade System Using the SWAT Model," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    3. Sri Lakshmi Sesha Vani Jayanthi & Venkata Reddy Keesara & Venkataramana Sridhar, 2022. "Prediction of Future Lake Water Availability Using SWAT and Support Vector Regression (SVR)," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    4. Sanjeet Kumar & Mukesh Tiwari & Chandranath Chatterjee & Ashok Mishra, 2015. "Reservoir Inflow Forecasting Using Ensemble Models Based on Neural Networks, Wavelet Analysis and Bootstrap Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4863-4883, October.
    5. R. A. Rigby & D. M. Stasinopoulos, 2005. "Generalized additive models for location, scale and shape," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 507-554, June.
    6. Vinit Sehgal & Venkataramana Sridhar & Luke Juran & Jactone Arogo Ogejo, 2018. "Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S," Sustainability, MDPI, vol. 10(9), pages 1-27, August.
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