Managers always consider the precise estimation of sediments in watersheds due to various conditions, such as soil and water resources management, construction, infrastructure and economical and social issues. In this condition, an optimized determination of sediment rating equation (typical method until now for sediment yield estimation) is essential to investigate sediment yield in rivers. In this study, the best sediment rating equation was determined for four hydrometric stations of Pol-Doab watershed in Markazi province using sediment rating curves types (singlelinear, multi-linear, mean loads) together with bias correction factors (FAO, Quasi-Maximum Likelihood Estimator [QMLE], Smearing, Minimum Variance Unbiased Estimator [MVUE] and β). The results showed that the optimized equation in stations is the mean loads (MVUE), which can used for prediction of sediment yield in annual scale.Moreover, FAO factor is more accurate for the estimation of sediment yield in high variability conditions for monthly, weekly and daily scales. According to the obtained results, accurate representation of variability intensity of sediment yield is associated with the rating curves types, since the monthly rating curve is more accurate. Also, the results indicated that the watershed average slope has direct relation withb coefficient of rating equation, and when using this parameter, the rate of sediment yield can be determined for month, season and hydrological periods. Based on the obtained results, with increase in the watershed average slope, the slope of suspended sediment concentration (SSC) equation is also increased.