Modeling of the average daily total suspendede solids (TSS), entering Dez dam reservoir (Iran)
One part of water quality, total suspended solids (TSS), is a reliable indicator of other pollutants, particularly nutrients and metals that carried on the surfaces of sediment in suspension. In practice, there are various models are used for modeling and prediction TSS entering reservoirs; model from: a relationship between water discharge and TSS, to a use complex statistical models. In this study, the performances of linear time series models for forecasting TSS entering Dez dam reservoir, were investigated. Many studies in recent years show that this type of model is an appropriate approach to predict TSS (Huixin. C, Dyk. P. 1996, 1998, Owens S. A etd. 2013). A random study conducted from Jan 2002 to July 2003 in Dez dam reservoir. STATGRAPHICS Plus software, are used for modeling and analyzing data to determine the best possible linear time series models. Results indicate that the simple exponential smoothing model, is the most efficient novel approach with an acceptable range of error, can be used successfully for forecasting TSS entering Dez dam reservoir.