Evaluation of quasi-maximum likelihood and smearing estimator to improve sediment rating curve estimation
by Meysam Salarijazi; Mohammad Abdolhosseini; Khalil Ghorbani; Saeid Eslamian
International Journal of Hydrology Science and Technology (IJHST), Vol. 6, No. 4, 2016

Abstract: The basic sediment rating curve (SRC) method suffers from the lack of accuracy in most cases. Two estimation methods including quasi-maximum likelihood estimator (QMLE) and non-parametric or smearing estimator are investigated in this study to consider changes in basic SRC estimations. Four hydrometric stations datasets in Gorgan Gulf basin in northern part of Iran are selected as case study and graphical assessment, RMSE and Nash-Sutcliff statistics are applied for evaluation of different methods. Graphical assessment shows that the correction methods tend to decrease the distance between observed and predicted sediment load by basic method in three of four cases. In addition, goodness of fit statistics implies better results for the application of quasi-maximum likelihood estimator method compared to basic SRC and smearing methods.

Online publication date: Tue, 27-Sep-2016

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