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

Rana Muhammad Amir, Sikandar Ali, Muhammad Jehanzeb Masud Cheema, Saddam Hussain, Muhammad Sohail Waqas, Rao Husnain Arshad, Muhammad Salam, Ahsan Raza and Muhammad Aslam
Additional contact information
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
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

Big Data In Water Resources Engineering (BDWRE), 2020, vol. 1, issue 2, 43-48

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.

Keywords: Upper Indus Basin; SWAT; Sedimentation; Calibration; Tarbela Dam; Validation; Runoff. (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://bdwre.com.my//download/14064/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbdwre:v:1:y:2020:i:2:p:43-48

DOI: 10.26480/bdwre.02.2020.43.48

Access Statistics for this article

Big Data In Water Resources Engineering (BDWRE) is currently edited by Engr. Saddam Hussain Wahla

More articles in Big Data In Water Resources Engineering (BDWRE) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).