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Estimation of Runoff Under Changed Climatic Scenario of a Meso Scale River by Neural Network Based Gridded Model Approach

Author

Listed:
  • Debajit Das

    (NIT, Agartala (Hydro-Informatics Engineering))

  • Tilottama Chakraborty

    (NIT, Agartala (Hydro-Informatics Engineering))

  • Mrinmoy Majumder

    (NIT, Agartala (Hydro-Informatics Engineering))

  • Tarun Kanti Bandyopadhyay

    (NIT, Agartala, (Chemical Engineering))

Abstract

Climate change is linked with change in precipitation, evapotranspiration, and other climatological parameters, and therefore the runoff of a river basin will be affected. The Gomati River basin is the largest in Tripura. The increased settlement in the Gomati River basin and climate change may threaten the natural flow patterns that enable its diversity. This study assesses the impact of climate change on total flow from a catchment in northeast India (the Gomati River catchment). For this assessment, the Group Method of Data Handling (GMDH) model was used to simulate the rainfall–runoff relationship in the catchment with respect to the observed data during 2008–2009. The statistically downscaled outputs of the Hadley Centre Global Environment Model version 2 (HadGEM2-ES) general circulation model scenario was used to assess the impacts of climate change on the Gomati River basin. Future projections were developed for the 2030s, 2040s, and 2050s. The results of this study may contribute to the development of adaptive strategies and future policies for the sustainable management of water resources in northeast Tripura.

Suggested Citation

  • Debajit Das & Tilottama Chakraborty & Mrinmoy Majumder & Tarun Kanti Bandyopadhyay, 2023. "Estimation of Runoff Under Changed Climatic Scenario of a Meso Scale River by Neural Network Based Gridded Model Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 2891-2907, June.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:8:d:10.1007_s11269-022-03211-3
    DOI: 10.1007/s11269-022-03211-3
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    References listed on IDEAS

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    1. Ioanna Zotou & Vasilis Bellos & Angeliki Gkouma & Vassilia Karathanassi & Vassilios A. Tsihrintzis, 2020. "Using Sentinel-1 Imagery to Assess Predictive Performance of a Hydraulic Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4415-4430, November.
    2. Erasmo Rodríguez & Inés Sánchez & Nicolás Duque & Pedro Arboleda & Carolina Vega & David Zamora & Patricia López & Alexander Kaune & Micha Werner & Camila García & Sophia Burke, 2020. "Combined Use of Local and Global Hydro Meteorological Data with Hydrological Models for Water Resources Management in the Magdalena - Cauca Macro Basin – Colombia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2179-2199, May.
    3. A. C. Oscar-Júnior, 2021. "Precipitation Trends and Variability in River Basins in Urban Expansion Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 661-674, January.
    4. Bano Mehdi & Julie Dekens & Mathew Herrnegger, 2021. "Climatic impacts on water resources in a tropical catchment in Uganda and adaptation measures proposed by resident stakeholders," Climatic Change, Springer, vol. 164(1), pages 1-22, January.
    5. Stefan Strohmeier & Patricia López López & Mira Haddad & Vinay Nangia & Mohammed Karrou & Gianni Montanaro & Abdelghani Boudhar & Clara Linés & Ted Veldkamp & Geert Sterk, 2020. "Surface Runoff and Drought Assessment Using Global Water Resources Datasets - from Oum Er Rbia Basin to the Moroccan Country Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2117-2133, May.
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