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Remote Sensing and GIS Innovation with Hydrologic Modelling for Hydroelectric Power Plant (HPP) in Poorly Gauged Basins

Author

Listed:
  • H. Coskun
  • Ugur Alganci
  • Ebru Eris
  • Necati Agıralioglu
  • H. Cigizoglu
  • Levent Yilmaz
  • Z. Toprak

Abstract

Within the last two decades, modelling of rainfall–runoff has become an important topic in water resources assessment due to increasing water demand and energy, particularly in the determination of hydropower potential. In addition to remote sensing (RS) and geographical information systems (GIS), with the development on satellite technologies, it becomes possible to asses rapid and economic solutions to determine a practical rainfall–runoff relation, particularly poorly gauged or ungauged basins. In this paper, Solakli Watershed which is located in Eastern Black Sea Region of Turkey is selected as the study area. To determine the hydroelectric water potential in a poorly gauged basin, basin boundary and area, minimum maximum and mean elevation, slope information of the basin have been derived from the digital elevation model (DEM) using remote sensing (RS) and geographical information systems (GIS) techniques. IRS P5 stereo satellite data with 2.5-m spatial resolution has been used for deriving the DEM. This DEM is used to produce the flow direction and flow accumulation maps of the basin. Afterward, synthetic drainage network is obtained with the analysis of these maps. Using topographical data such as area, mean basin elevation and limited point observations of rainfall data; a regression model was derived for the whole watershed. This regression model was validated on a sub-basin with satisfactory results using mean areal rainfall which was calculated isohyetal map produced by kriging method. Suggested hydropower station points are also determined. Copyright Springer Science+Business Media B.V. 2010

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  • H. Coskun & Ugur Alganci & Ebru Eris & Necati Agıralioglu & H. Cigizoglu & Levent Yilmaz & Z. Toprak, 2010. "Remote Sensing and GIS Innovation with Hydrologic Modelling for Hydroelectric Power Plant (HPP) in Poorly Gauged Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3757-3772, November.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:14:p:3757-3772
    DOI: 10.1007/s11269-010-9632-x
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    References listed on IDEAS

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    1. Dudhani, Surekha & Sinha, A.K. & Inamdar, S.S., 2006. "Assessment of small hydropower potential using remote sensing data for sustainable development in India," Energy Policy, Elsevier, vol. 34(17), pages 3195-3205, November.
    2. Ashoke Basistha & D. Arya & N. Goel, 2008. "Spatial Distribution of Rainfall in Indian Himalayas – A Case Study of Uttarakhand Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1325-1346, October.
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    2. Anas Mahmood Al-Juboori & Aytac Guven, 2016. "Hydropower Plant Site Assessment by Integrated Hydrological Modeling, Gene Expression Programming and Visual Basic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2517-2530, May.
    3. Soulis, Konstantinos X. & Manolakos, Dimitris & Anagnostopoulos, John & Papantonis, Dimitris, 2016. "Development of a geo-information system embedding a spatially distributed hydrological model for the preliminary assessment of the hydropower potential of historical hydro sites in poorly gauged areas," Renewable Energy, Elsevier, vol. 92(C), pages 222-232.
    4. Tamm, Ottar & Tamm, Toomas, 2020. "Verification of a robust method for sizing and siting the small hydropower run-of-river plant potential by using GIS," Renewable Energy, Elsevier, vol. 155(C), pages 153-159.
    5. Palomino Cuya, Daly Grace & Brandimarte, Luigia & Popescu, Ioana & Alterach, Julio & Peviani, Maximo, 2013. "A GIS-based assessment of maximum potential hydropower production in La Plata basin under global changes," Renewable Energy, Elsevier, vol. 50(C), pages 103-114.
    6. Ioannidou, Christina & O’Hanley, Jesse R., 2018. "Eco-friendly location of small hydropower," European Journal of Operational Research, Elsevier, vol. 264(3), pages 907-918.
    7. Alexandros Korkovelos & Dimitrios Mentis & Shahid Hussain Siyal & Christopher Arderne & Holger Rogner & Morgan Bazilian & Mark Howells & Hylke Beck & Ad De Roo, 2018. "A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa," Energies, MDPI, vol. 11(11), pages 1-21, November.

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