Estimate of sediment load is required in a wide spectrum of water resources engineering problems. The nonlinear nature of suspended sediment load series necessitates the utilization of nonlinear methods to simulate the suspended sediment load. In this study Artificial Neural Networks (ANNs) are employed to estimate daily suspended sediment load. Two different ANN algorithms, Multi Layer Perce...

background: given the increasing importance of suspended particles and reporting weather conditions in the amount of ultraviolet radiation in many countries, in this study, the data of the maximum amounts of pollution by suspended particles with the size of 10, 2.5 and1 microns (pm10, pm2.5, pm1) which were reported in 1-hour time-series and global ultraviolet index (uvi) were used to predict t...

the offered approach is based on the establishment of the functional dependence between river water discharge (q) and suspended ms ,in a number of observations, which noticeably differs from the mean value (r) of subsequent allocated period(s). the earliest period anthropogenic component during the subsequent period(s) is the difference between an actual suspended sediment yield and its hypothe...

correct estimation of suspended sediment transported by a river is an important practice in water structure design, environmental problems and water quality issues. conventionally, sediment rating curve used for suspended sediment estimation in rivers. in this method discharge and sediment discharge or concentration related using regression relation that generally is exponential model. respect ...