Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/10473
Title: Assessment of hydropower potential in Nethravathi river basin using SWAT model
Authors: Babar, S.
Shobhita, M.P.
Ramesh, H.
Issue Date: 2015
Citation: International Journal of Earth Sciences and Engineering, 2015, Vol.8, 2, pp.696-702
Abstract: 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 Q<inf>75</inf>, Q<inf>80</inf> and Q<inf>90</inf>, by integrating thematic layers using ArcSWAT. 2015 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/10473
Appears in Collections:1. Journal Articles

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