University of Tabriz Water and Soil Science 2008-5133 23 3 2013 10 23 Estimation of Solid Load Inflow to Shahriar Dam Reservoir Estimation of Solid Load Inflow to Shahriar Dam Reservoir 135 150 534 FA Kiumars Roshanghar Behzad Rohparvar Shahbaz Hasani Journal Article 2014 01 11 Soil erosion and sediment transport occur due to surface runoff and flow in channels and rivers. Sediment input rate into dam reservoirs not only decreases effective volume of reservoirs, but also has non desirable influence on intake structures, gates, stability and water quality. Thus, estimation of sediment transport input into reservoirs is an important factor. Due to complexity and effect of different parameters on erosion and sediment transport Phenomenon, the mathematical simulations of sediment transport have not enough accuracy. In this research, for predicting of solid inflow to reservoir of Shahriar dam firstly, sediment rating curve and classic methods are used. Then, the applicability of data driven and artificial intelligent approaches like feed forward, radial basis, generalized regression neural  networks and neuro-fuzzy systems are evaluated. Results indicate the high capability and workability of neural network and neuro fuzzy methods and low accuracy of sediment rating curve and classic methods in simulation of sediment transport rate. Soil erosion and sediment transport occur due to surface runoff and flow in channels and rivers. Sediment input rate into dam reservoirs not only decreases effective volume of reservoirs, but also has non desirable influence on intake structures, gates, stability and water quality. Thus, estimation of sediment transport input into reservoirs is an important factor. Due to complexity and effect of different parameters on erosion and sediment transport Phenomenon, the mathematical simulations of sediment transport have not enough accuracy. In this research, for predicting of solid inflow to reservoir of Shahriar dam firstly, sediment rating curve and classic methods are used. Then, the applicability of data driven and artificial intelligent approaches like feed forward, radial basis, generalized regression neural  networks and neuro-fuzzy systems are evaluated. Results indicate the high capability and workability of neural network and neuro fuzzy methods and low accuracy of sediment rating curve and classic methods in simulation of sediment transport rate. https://water-soil.tabrizu.ac.ir/article_534_e9e63b982a32ad7f2bcc90cda95405a2.pdf