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Estimating Sediment Yield At Tarbela Dam And Flood Forecasting Through Continuous Precipitation-Runoff Modeling Of Upper Indus Basin

Author

Listed:
  • Rana Muhammad Amir

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan)

  • Sikandar Ali

    (Department of Zoology, Wildlife and Fisheries, University of Agriculture Faisalabad, Pakistan)

  • Muhammad Jehanzeb Masud Cheema

    (Faculty of Agricultural Engineering and Technology, PMAS-Arid Agriculture University, Rawalpindi, Pakistan)

  • Saddam Hussain

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad, PakistanAuthor-Name: Muhammad Mohsin Waqas
    Department of Agricultural Engineering, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan)

  • Muhammad Sohail Waqas

    (Soil Conservation Group, Punjab Agriculture Department (Field Wing), Rawalpindi, Pakistan)

  • Rao Husnain Arshad

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan)

  • Muhammad Salam

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan)

  • Ahsan Raza

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan)

  • Muhammad Aslam

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan)

Abstract

The live water storage of the reservoirs is decreasing by the sedimentation, which is affecting the reservoir’s capacity and cause a severe problem for the irrigation system at the downstream side. Floods occur at the downstream by the poor management at upstream due to the heavy rainfall and snow melting. For annual accumulations of sediment load and estimation of the peak flow at Tarbela reservoir near Besham Qila station having area of 170,000 km2 was selected. Estimation of the peak flow and sediment yield at the Tarbela reservoir, SWAT (distributed hydrological model) was used. The expected decrease in reservoir storage capacity was also estimated with the SWAT model. For runoff modelling, calibration was done for three years (2004-2006) and validation was also done for three years (2007-2009). Nash-Sutcliffe Efficiency (NSE) and Standard Error of Estimate existed the statistical indices to evaluate the results. Coefficient of determination (R2) was found as 0.75 for the calibration period and 0.80 for the validation. Whereas, NSE for calibration was observed 0.69 and 0.70 for the validation. Monthly mean sediment yield was about 0.13 BCM estimated at the Tarbela reservoir near Besham Qila.

Suggested Citation

  • Rana Muhammad Amir & Sikandar Ali & Muhammad Jehanzeb Masud Cheema & Saddam Hussain & Muhammad Sohail Waqas & Rao Husnain Arshad & Muhammad Salam & Ahsan Raza & Muhammad Aslam, 2020. "Estimating Sediment Yield At Tarbela Dam And Flood Forecasting Through Continuous Precipitation-Runoff Modeling Of Upper Indus Basin," Big Data In Water Resources Engineering (BDWRE), Zibeline International Publishing, vol. 1(2), pages 43-48, March.
  • Handle: RePEc:zib:zbdwre:v:1:y:2020:i:2:p:43-48
    DOI: 10.26480/bdwre.02.2020.43.48
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    References listed on IDEAS

    as
    1. Cheema, M.J.M. & Bastiaanssen, W.G.M., 2010. "Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis," Agricultural Water Management, Elsevier, vol. 97(10), pages 1541-1552, October.
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    Cited by:

    1. Muhammad Shafeeque & Abid Sarwar & Abdul Basit & Abdelmoneim Zakaria Mohamed & Muhammad Waseem Rasheed & Muhammad Usman Khan & Noman Ali Buttar & Naeem Saddique & Mohammad Irfan Asim & Rehan Mehmood S, 2022. "Quantifying the Impact of the Billion Tree Afforestation Project (BTAP) on the Water Yield and Sediment Load in the Tarbela Reservoir of Pakistan Using the SWAT Model," Land, MDPI, vol. 11(10), pages 1-20, September.

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