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      Integrated hydrological modeling and water resource assessment in the Mayurakshi River Basin: A comprehensive study from historical data to future predictions

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          Abstract

          This study employs the SWAT hydrologic model to integrate climatological and hydrological processes for an in-depth analysis of the Mayurakshi River Basin. Utilizing the Markov chain model, the study evaluates water availability, flow patterns, and the basin’s response to various climatic and land-use scenarios. Over 30 years of daily observed river discharge data were rigorously calibrated, validated, and analyzed for uncertainty, with critical data from the Massanjore Dam and Tilpara Barrage gauge stations characterizing the river’s hydrological behavior. The result suggests the watershed received an average annual precipitation of 1432.4 mm, with evapotranspiration accounting for 40% of total water loss (578.4 mm). Surface runoffconstituted over 90% of the total discharge, highlighting its importance for agricultural practices, particularly during the dry season. However future projections (2021–2031) indicate a significant decrease in mean annual precipitation (1404.7 mm) and a drop in evapotranspiration (542.1 mm or 38% of mean precipitation), attributed to reduced vegetation cover and increased settlement, leading to enhanced surface runoff. By quantifying internal renewable blue water, evapotranspiration, and soil water, this research provides crucial data for long-term water resource planning and assessment. The findings are valuable for national, regional, and transboundary water management agencies, offering insights into sustainable water resource management under changing climatic and different land-use conditions.

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          Author and article information

          Journal
          GG
          Geosystems and Geoenvironment
          Elsevier (United Kingdom )
          2772-8838
          01 November 2024
          22 February 2025
          : 3
          : 4
          : e100308
          Affiliations
          [1] aSchool of Water Resources Engineering, Jadavpur University, Kolkata, West Bengal, India
          [2] bDepartment of Geography, Women’s College, Calcutta, Kolkata, West Bengal, India
          Author notes
          *Corresponding author. E-mail address: pankaj.kroy@ 123456jadavpuruniversity.in (P.K. Roy).
          Article
          j.geogeo.2024.100308
          10.1016/j.geogeo.2024.100308
          d6d6b946-9c62-47fd-97ce-877bad7d6669
          © 2024 The Author(s). Published by Elsevier Ltd on behalf of Ocean University of China

          This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/)

          History
          : 26 October 2023
          : 12 July 2024
          : 15 July 2024

          Earth & Environmental sciences,Databases,Environmental chemistry,General astronomy,Geosciences,Soil
          Bluewater resources,SUFI-2 algorithm,SWAT hydrological model,Watershed management,Markov chain model

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