Skip to main content

Advertisement

SpringerLink
Log in

Hydropower Plant Site Assessment by Integrated Hydrological Modeling, Gene Expression Programming and Visual Basic Programming

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

The integrated hydrological modeling techniques were used to create a conceptual rainfall-runoff model for Hurman River watershed. The HEC-HMS and water modeling system (WMS) were used to generate the required runoff data at any location within the watershed based on the flow duration curve (FDC) analysis. The modeling results showed a good agreement between the observed and the simulated runoff data. The model accuracy was confirmed through four well statistical indicators, Nash–Sutcliffe efficiency (NSE), coefficient of determination (R2), mean error (ME) and root mean square error (RMSE). The watershed was divided into 130 sub-basins by adding outlet at each 1 km distance along the stream network and runoff was simulated by using daily rainfall data. The 130 flow duration curves were estimated. Gene expression programming was used to develop a mathematical expression based on the results of rainfall-runoff model to generate flow duration curve at any location along the stream network. A Visual Basic Computer Program was developed with visual interface in Microsoft Excel software to run-of-the river type hydropower plant site assessment. A searching algorithm to select optimum site to install the hydropower project was developed according to the power or head criteria. The results showed that 1 MW as input power criteria revealed optimum hydroelectricity generation compared to other alternative design criteria.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Aytek A, Kisi O, Guven A (2014) A genetic programming technique for lake level modeling. Hydrol Res 45(4–5):529–539

    Article  Google Scholar 

  • Azamathulla HM (2012) Gene expression programming for prediction of scour depth downstream of sills. J Hydrol 460–461:169–172

    Google Scholar 

  • Azamathulla HM, Jarrett RD (2013) Use of gene-expression programming to estimate Manning’s Roufgness Coefficent for high gradient streams. Water Resour Manag 27:715–729

    Article  Google Scholar 

  • Azamathulla HM, Ghani AA, Leow CS, Chang CK, Zakaria NA (2011) Gene-expression programming for the development of a stage discharge curve of the Pahang river. Water Resour Manag 25:2901–2916

    Article  Google Scholar 

  • Booker D, Snelder T (2012) Comparing methods for estimating flow duration curves at ungauged sites. J Hydrol 434:78–94

    Article  Google Scholar 

  • Coskun HG, Alganci U, Eris E, Agıralioglu N, Cigizoglu HK, Yilmaz LZ, Toprak ZF (2010) Remote sensing and GIS innovation with hydrologic modelling for hydroelectric power plant (HPP) in poorly gauged basins. Water Resour Manag 24:3757–3772

    Article  Google Scholar 

  • Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13(2):7–129

    Google Scholar 

  • Ferreira C (2006) Gene expression programming: mathematical modeling by an artificial intelligence, 2nd edn. Springer, Berlin (DE)

    Google Scholar 

  • García A, Sainz A, Revilla J, Álvarez C, Juanes J, Puente A (2008) Surface water resources assessment in scarcely gauged basins in the north of Spain. J Hydrol 356:312–326

    Article  Google Scholar 

  • Guven A (2009) Linear genetic programming for time-series modeling of daily flow rate. J Earth Syst 118(2):137–146

    Article  Google Scholar 

  • Guven A, Kisi O (2011) Estimation of suspended sediment yield in natural rivers using machine-coded linear genetic programming. Water Resour Manag 25:691–704

    Article  Google Scholar 

  • Halwatura D, Najim M (2013) Application of the HEC-HMS model for runoff simulation in a tropical Catchment. Environ Model Softw 46:155–162

    Article  Google Scholar 

  • Karbasi M, Azamathulla HM (2015) GEP to predict characteristics of a hydraulic jump over a rough bed. KSCE J Civ Eng. doi:10.1007/s12205-016-0821-x

    Google Scholar 

  • Kisi O, Guven A (2010) A machine code-based genetic programming for suspended sediment concentration estimation. Adv Eng Softw 41(7–8):939–945

    Article  Google Scholar 

  • Kisi O, Emiroğlu ME, Bilhan O, Guven A (2012) Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches. Expert Syst Appl 39(3):3454–3460

    Article  Google Scholar 

  • Kusrea BC, Baruah DC, Bordoloi PK, Patra SC (2010) Assessment of hydropower potential using GIS and hydrological modeling technique in Kopili River basin in Assam (India). Appl Energy 1:298–309

    Article  Google Scholar 

  • Laouachria F, Mansouri R (2015) Comparison of WBNM and HEC-HMS for runoff hydrograph prediction in a small urban catchment. Water Resour Manag 29:2485–2501

    Article  Google Scholar 

  • Lins C, Laguna M (2005) Runway potential: small hydro in Europe and beyond. Renew Energy World 37(2):248–253

  • Liucci L, Valigi D, Casadei S (2014) A new application of flow duration curve (FDC) in designing run-of-river power plants. Water Resour Manag 28:881–895

    Article  Google Scholar 

  • Longobardi A, Villani P (2013) A statistical, parsimonious, empirical framework for regional flow duration curve shape prediction in high permeability Mediterranean region. J Hydrol 507:174–185

    Article  Google Scholar 

  • Mehr AD, Kahya E, Olyaie E (2013) Streamflow predication using linear genetic programming in comparison with a neuro-wavelet technique. J Hydrol 505:240–249

    Article  Google Scholar 

  • Mehr A, Kahya E, Yerdelem C (2014) Linear genetic programming application for successive-station monthly streamflow predication. Comput Geosci 70:63–72

    Article  Google Scholar 

  • Melikoglu M (2013) Hydropower in turkey: analysis in the view of vision 2023. Renew Sust Energ Rev 25:503–510

    Article  Google Scholar 

  • Mendicino G, Senatore A (2013) Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes. J Hydrol 480:19–32

    Article  Google Scholar 

  • Niadas A (2005) Regional flow duration curve estimation in small ungauged catchments using instantaneous flow measurements and a censored data approach. J Hydrol 314:48–66

    Article  Google Scholar 

  • Oleyiblo J, Li Z (2010) Application of HEC-HMS for flood forecasting in Misai and Wan’an catchments in China. Water Sci Eng 3:14–22

    Google Scholar 

  • Pandey A, Lalrempuia D, Jain SK (2015) Assessment of hydropower potential using spatial technology and SWAT modelling in the Mat River, southern Mizoram, India. Hydrol Sci J 60(10):1651–1665

    Article  Google Scholar 

  • Punys P, Dumbrauskas A, Kavraciejus A, Vyciene G (2011) Tools for small hydropower plant resources planning and development: a review of technology and applications. Energies 4:1258–1277

    Article  Google Scholar 

  • Rojanamon P, Chaisomphob T, Bureekul T (2009) Application of geographical information system to site selection of small run-of-river hydropower project by considering engineering/economic/environmental criteria and social impact. Renew Sust Energ Rev 13:2336–2348

    Article  Google Scholar 

  • Seckin N, Guven A (2012) Estimation of peak flood discharges at ungauged sites across turkey. Water Resour Manag 26:2569–2581

    Article  Google Scholar 

  • Shresta S, Khatiwada M, Babel MS, Parajuli K (2014) Impact of climate change on river flow and hydropower production in Kulekhani hydropower project of Nepal. Environ Process 1(3):231–250

    Article  Google Scholar 

  • Soil Conservation Service (1986) Urban hydrology for small watershed. Technical releases 55, 2nd edn. U.S. Dept. of Agriculture, Washington D.C

    Google Scholar 

  • Tofiq F, Guven A (2014) Prediction of design flood discharge by statistical downscaling and General Circulation Models. J Hydrol 517:1145–1153

    Article  Google Scholar 

  • Traore S, Guven A (2013) New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa. Irrig Sci 31:1–10

    Article  Google Scholar 

  • US Army Corps of Engineers (2000) Hydrologic modeling system HEC-HMS technical reference manual. Hydrologic Engineering Center, Davis, CA

  • Yi C, Lee J, Shim M (2010) Site location analysis for small hydropower using geo-spatial information system. Renew Energy 35:852–886

    Article  Google Scholar 

  • Zorn CR, Shameldin AY (2015) Peak flood estimation using gene expression programming. J Hydrol 531:1122–1128

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Civil Engineering Department, University of Gaziantep, 27310, Gaziantep, Turkey

    Anas Mahmood Al-Juboori & Aytac Guven

  2. Dams and Water Resources Research Center, Mosul University, Mosul, Iraq

    Anas Mahmood Al-Juboori

Authors
  1. Anas Mahmood Al-Juboori
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aytac Guven
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aytac Guven.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Al-Juboori, A.M., Guven, A. Hydropower Plant Site Assessment by Integrated Hydrological Modeling, Gene Expression Programming and Visual Basic Programming. Water Resour Manage 30, 2517–2530 (2016). https://doi.org/10.1007/s11269-016-1300-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-016-1300-3

Keywords

Search

Navigation