Determining the essential parameters of bed load and suspended sediment load
by Ali Osman Pektaş
International Journal of Global Warming (IJGW), Vol. 8, No. 3, 2015

Abstract: Appropriate prediction of sediment load concentration being carried by streams has a vital importance of water resources quantity and quality studies. In most studies some dimensionless parameters are derived by using observed variables of sediment system and then used as inputs of predictive models. In this study, instead of deriving new variables, widely used non-dimensional sediment model parameters have been compiled and examined. The main purpose of the study is to decide the essential parameters to establish effective models in predicting for both bed load and suspended sediment load. Cluster analysis, principal component analysis, multiple regression analysis and sensitivity analysis in artificial neural networks are used to determine the most influential parameters. The results of all methods are evaluated together and the parameters that are found significant are detected as the most relevant parameters.

Online publication date: Fri, 23-Oct-2015

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