Assessment of Atrak River Sediment at the Hydrometric Stations with Data Using Hydrological Methods

In a catchment, deposition of the erosion process is influenced by factors such as degraded pastures, land use change, agriculture non-normative and others may occur. That causes problems such as sedimentation in reservoirs, reducing their, effective volume reduction and water quality. For sustainable and watershed management and to prevent soil loss and sediment in the river and basin, It also plans to build watershed protection is required to estimate suspended sediments in rivers. In the present study, in order to select the most appropriate method for estimating suspended sediment in hydrometric stations Barzu, Babaaman, Ghatlesh, Darband, Aghmazar, Tabarok Abad on the river Atrak, The corresponding data flow and sediment discharge during the period were collected and analyzed. The relationship between water discharge and sediment load values based on five linear model, linear combination (multi-line), linear correction FAO, middle class and graphical methods (tangent to the line of maximum concentration), to select the appropriate model the best prediction based on the statistical indicators. In order to, the index of root mean square error (RMSE), coefficient of determination (R2), the estimated mean of the observations (r), coefficient of variation (Cv), the root mean square error of the estimated mean (GSD), the correlation coefficient between estimated and observed sediment (R), mean absolute error (MAE) and mean bias error (MBE) was used. Results showed intermediate model categories in Tabarok abad station, linear model in aghmazar and barzu station, Model drawing (maximum concentration) in Babaaman and Ghatlesh station, hybrid model (multi-line) in Darband station, among the models tested was the lowest rates and the best mean square error in estimating the predicted precipitation stations is studied.