Using Intelligence Models to Estimate Suspended sediment system case study: Jagin Dam

Sediments are transferred by the rivers due to passing from sedimentary basins and cause erosion of the sides and bottom and also sedimentation throughout its course. Simulation and sediment assessment of the river are of the significant and practical issues in water resource management. To estimate the suspended sediment concentration of Jagin dam in this study, simultaneous water discharge data(Q), Scale water (H) and sediment density(Qs) of Penhan Station located at Jask dock entry have been used. fuzzy rule base, Artificial Neural Network (ANN) and FLR Sediment Rating Curve (SRC) modeling was used. Correlation coefficient (R) and Root Mean Square Error (RMSE) are considered the model's assessment criteria The results show a higher accuracy of fuzzy rule base model assessments in comparison with neural networks and FLR sediment rating curve assessments.