Performance evaluation of correction coefficients to optimize sediment rating curves on the basis of the Karkheh dam reservoir hydrography, west Iran

• Published in: Arabian journal of geosciences Vol. 11; no. 19; pp. 1 - 9
• Main Authors: Hassanzadeh, Haideh, Shafai Bajestan, Mahmood, Rostami Paydar, Ghodratollah
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-10-2018; Springer Nature B.V
• Subjects: Coefficients; Dams; Data processing; Discharge; Earth and Environmental Science; Earth science; Earth Sciences; Fluvial sediments; Galling; Hydrography; Methods; Optimization; Original Paper; Performance evaluation; Reservoirs; Rivers; Sediment; Sediments; Correction coefficient; Flow discharge; Sediment; Rating curve; Hydrography
• ISSN: 1866-7511; 1866-7538
• DOI: 10.1007/s12517-018-3964-x

The prediction of useful lifetime of a dam is estimated through accurate estimate of river sediments which mostly depend on sediment rating curve. Over the past decades, various methods have been developed by investigators. With respect to the importance of this issue, in the present study, the best discharge-sediment relationship for Jelogir hydrometric station located at the upstream of Karkheh reservoir dam is presented. In the first step, sediment rating curves in annual, seasonal, monthly, wet and dry, and middle of the classes linear ways and applying 3 correction coefficients that include Smearing, FAO, and QMILE were obtained; then, their performance was evaluated. Comparison of these results with data obtained from hydrographical operation of Karkheh dam reservoir showed that the optimal equation of discharge-sediment at this hydrometric station follows annual linear sediment rating curve with QMILE correction coefficient. According to the results, annual method has estimated sediment volume less than the actual volume, about 98.7% of the actual sediment, while other evaluated methods have showed sediment volume more than the actual one, and among correction coefficients, the application of QMILE correction coefficient is more reasonable than other coefficients.