ORIGINAL RESEARCH
Developing a Sediment Rating Curve Model
Using the Curve Slope
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1
Department of Water Resources and Harbor Engineering, College of Civil Engineering, Fuzhou University,
Fuzhou, China.
2
Department of Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
3
Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran
4
University of Malaya, Kuala Lumpur, Malaysia
5
Department of Water Resources and Harbor Engineering, College of Civil Engineering, Fuzhou University,
Fuzhou, China
Submission date: 2018-09-14
Acceptance date: 2019-01-30
Online publication date: 2019-10-30
Publication date: 2020-01-16
Pol. J. Environ. Stud. 2020;29(2):1151-1159
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ABSTRACT
There are different ways to estimate suspended sediment load of a river. The conventional
sediment rating curve model has been used widely due to its simplicity and required parameters.
The most important limitation of the conventional SRC model is its relatively low precision and
underestimation of the suspended sediment load in most studies. However, in this study, the concept
of SRC model segmentation is introduced based on the curve slope under the title of developed
SRC-S model. The most important feature is the simplicity of the presented application. To compare
the conventional SRC and the developed SRC-S models, data from two hydrometry stations in northern
Iran were selected. Graphical study of the models shows that the developed SRC-S model enjoys
more fitting precision in comparison with the conventional SRC model, and also has improved
underestimation error of suspended sediment load in higher rates of river flow discharge. Six numerical
criteria for model accuracy (Nash-Sutcliffe, root-mean-square error, and mean absolute error, difference
ratio, efficiency ratio improved and index of agreement) are used for quantitative comparison of the
results of conventional and developed models. Accordingly, we found that the mentioned criteria have
improved significantly compared to the conventional model.