Faculty Publications

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    Identifying the Potential Impacts of Climate Change on Streamflow in a Humid Tropical Basin
    (Springer Science and Business Media Deutschland GmbH, 2023) Abraham, A.; Kundapura, S.
    The preservation of ecosystems in a river is based upon the replication of its original pristine conditions in the river regime. One of the main variables influencing a region’s hydrology is climate change. The research investigated the impact of climate change on the streamflow within the Meenachil River basin located in Kerala, India. The present study employed the Soil and Water Assessment Tool (SWAT) model to simulate the hydrological processes of the basin. The calibration and validation of the model are done, and the model performance is determined considering the Nash Sutcliffe Efficiency (NSE), coefficient of determination (R2), and percentage bias (PBIAS), and it is observed to be good. The data for the future climate are taken from National Aeronautics and Space Administration (NASA) Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) data for Representative Concentration Pathway (RCP) 4.5. The response of streamflow to the climate in the future time period (2025–2099) is evaluated by considering three scenarios, S1, S2, and S3, with reference to a baseline scenario. In order to analyze the impact of climate change in the basin, the high and low flow indices (Q5 and Q95) of the scenarios under consideration are established using the flow duration curve of annual streamflow. Q5 showed a reduction of 20, 8.3, and 1.6% for the considered scenarios compared to the baseline period. The low flow index, Q95, showed an increase of 9.8, 15.3, and 15.1% in the scenarios concerning the baseline period. The findings of the present study will aid in developing adaption techniques for improved basin-wide management of water resources. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Assessment of hydropower potential in Nethravathi river basin using SWAT model
    (CAFET INNOVA Technical Society cafetinnova@gmail.com 1-2-18/103, Mohini Mansion, Gagan Mahal Road, Domalguda, Hyderabad 500029, 2015) Babar, S.; Shobhita, M.P.; Ramesh, H.
    Hydropower plants have the advantage of producing renewable and clean power, the renewable and reliable energy source that serves national environmental and energy policy objectives. Therefore, the development of hydropower plant and improvements of water management have essential in contributing to sustainable growth and energy production in developing countries like India. The present study is concerned with the development of methodology and assessment of hydropower potential in the Nethravathi River basin with the help of Remote Sensing and GIS. The drainage area covers about 3190 km2 at Bantwal gauging point, and most of the land cover of the basin is dominated by forest. The basin was divided into six sub-basins based on hydrology and topography using GIS tools. The climate over the basin is coastal humid tropical and receives an average annual rainfall of about 4000 mm. sub-basin discharges were estimated using the Soil Conservation Services (SCS) curve number method. To ensure the total discharge from six sub-basins computed from SCS curve number method, the flows were routed and simulated at the gauging location using Soil and Water Assessment Tool (SWAT). SWAT model was calibrated for monthly time steps from 1998–2001, and validated for 2002–2003. Flow-duration curves (FDC) were generated for each sub-basin to assess the dependable yield. The results have shown a good agreement between observed and the simulated flows. The available discharge at 75%, 80% and 90% of time for each sub-basin were extracted from the FDC. This result were used to calculate the hydropower potential in all the six sub-basins at Q75, Q80 and Q90, by integrating thematic layers using ArcSWAT. © 2015 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.
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    Regionalization of flow duration curves for catchments in southern India using a hierarchical cluster approach
    (IWA Publishing, 2023) Hiremath, C.G.; Nandagiri, L.
    The present study on the hydrologic regionalization was taken up to evaluate the utility of hierarchical cluster analysis for the delineation of hydrologically homogeneous regions and multiple linear regression (MLR) models for information transfer to derive flow duration curve (FDC) in ungauged basins. For this purpose, 50 catchments with largely unregulated flows located in South India were identified and a dataset of historical streamflow records and 16 catchment attributes was created. Using selected catchment attributes, three hydrologically homogenous regions were delineated using a hierarchical agglomerative cluster approach, and nine flow quantiles (10–90%) for each of the catchments in the respective clusters was derived. Regionalization approach was then adopted, whereby using step-wise regression, flow quantiles were related with readily derived basin-physical characteristics through MLR models. Cluster-wise performance analysis of the developed models indicated excellent performance with an average coefficient of determination (R2) values of 0.85, 0.97, and 0.8 for Cluster-1,-2, and-3, respectively, in comparison to poor performance when all 50 stations were considered to be in a single region. However, Jackknife cross-validation showed mixed performances with regard to the reliability of developed models with performance being good for high-flow quantiles and poor for low-flow quantiles. © 2023 The Authors.