Hydropower Plant Site Assessment by Integrated Hydrological Modeling, Gene Expression Programming and Visual Basic Programming
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  • 作者:Anas Mahmood Al-Juboori ; Aytac Guven
  • 关键词:Rainfall ; runoff modeling ; HEC ; HMS ; Gene expression programming ; Visual Basic ; Flow duration curve ; Hydropower plant
  • 刊名:Water Resources Management
  • 出版年:2016
  • 出版时间:May 2016
  • 年:2016
  • 卷:30
  • 期:7
  • 页码:2517-2530
  • 全文大小:792 KB
  • 参考文献:Aytek A, Kisi O, Guven A (2014) A genetic programming technique for lake level modeling. Hydrol Res 45(4–5):529–539CrossRef
    Azamathulla HM (2012) Gene expression programming for prediction of scour depth downstream of sills. J Hydrol 460–461:169–172
    Azamathulla HM, Jarrett RD (2013) Use of gene-expression programming to estimate Manning’s Roufgness Coefficent for high gradient streams. Water Resour Manag 27:715–729CrossRef
    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 25:2901–2916CrossRef
    Booker D, Snelder T (2012) Comparing methods for estimating flow duration curves at ungauged sites. J Hydrol 434:78–94CrossRef
    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 24:3757–3772CrossRef
    Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13(2):7–129
    Ferreira C (2006) Gene expression programming: mathematical modeling by an artificial intelligence, 2nd edn. Springer, Berlin (DE)
    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 356:312–326CrossRef
    Guven A (2009) Linear genetic programming for time-series modeling of daily flow rate. J Earth Syst 118(2):137–146CrossRef
    Guven A, Kisi O (2011) Estimation of suspended sediment yield in natural rivers using machine-coded linear genetic programming. Water Resour Manag 25:691–704CrossRef
    Halwatura D, Najim M (2013) Application of the HEC-HMS model for runoff simulation in a tropical Catchment. Environ Model Softw 46:155–162CrossRef
    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
    Kisi O, Guven A (2010) A machine code-based genetic programming for suspended sediment concentration estimation. Adv Eng Softw 41(7–8):939–945CrossRef
    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):3454–3460CrossRef
    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 1:298–309CrossRef
    Laouachria F, Mansouri R (2015) Comparison of WBNM and HEC-HMS for runoff hydrograph prediction in a small urban catchment. Water Resour Manag 29:2485–2501CrossRef
    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 28:881–895CrossRef
    Longobardi A, Villani P (2013) A statistical, parsimonious, empirical framework for regional flow duration curve shape prediction in high permeability Mediterranean region. J Hydrol 507:174–185CrossRef
    Mehr AD, Kahya E, Olyaie E (2013) Streamflow predication using linear genetic programming in comparison with a neuro-wavelet technique. J Hydrol 505:240–249CrossRef
    Mehr A, Kahya E, Yerdelem C (2014) Linear genetic programming application for successive-station monthly streamflow predication. Comput Geosci 70:63–72CrossRef
    Melikoglu M (2013) Hydropower in turkey: analysis in the view of vision 2023. Renew Sust Energ Rev 25:503–510CrossRef
    Mendicino G, Senatore A (2013) Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes. J Hydrol 480:19–32CrossRef
    Niadas A (2005) Regional flow duration curve estimation in small ungauged catchments using instantaneous flow measurements and a censored data approach. J Hydrol 314:48–66CrossRef
    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
    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):1651–1665CrossRef
    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 4:1258–1277CrossRef
    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 13:2336–2348CrossRef
    Seckin N, Guven A (2012) Estimation of peak flood discharges at ungauged sites across turkey. Water Resour Manag 26:2569–2581CrossRef
    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):231–250CrossRef
    Soil Conservation Service (1986) Urban hydrology for small watershed. Technical releases 55, 2nd edn. U.S. Dept. of Agriculture, Washington D.C
    Tofiq F, Guven A (2014) Prediction of design flood discharge by statistical downscaling and General Circulation Models. J Hydrol 517:1145–1153CrossRef
    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 31:1–10CrossRef
    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 35:852–886CrossRef
    Zorn CR, Shameldin AY (2015) Peak flood estimation using gene expression programming. J Hydrol 531:1122–1128CrossRef
  • 作者单位:Anas Mahmood Al-Juboori (1) (2)
    Aytac Guven (1)

    1. Civil Engineering Department, University of Gaziantep, 27310, Gaziantep, Turkey
    2. Dams and Water Resources Research Center, Mosul University, Mosul, Iraq
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Hydrogeology
    Geotechnical Engineering
    Meteorology and Climatology
    Civil Engineering
    Environment
  • 出版者:Springer Netherlands
  • ISSN:1573-1650
文摘
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.

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