Stochastic Modeling to Prediction of River Morphological Changes

In this paper, a new stochastic method for predicting of river morphological changes in the future is presented in the braided river. The model procedure is as follows: 1-It is to apply regression equation with bed height as a dependent parameter and three independent parameters of maximum daily flow, and its corresponding sediment discharge and bed slope, these equations were derived at certain points along the river cross-sections over a specific time. 2- By applying observed data, sediment rating curve equation as well as a relationship between slope, water and sediment discharge were derived.3- Simulation of maximum monthly flow by ARIMA stochastic modeling. 4-By substituting values obtained from step 3 into 2 and 1, respectively, river bed height was predicted along the cross-sections. The values of the deepest bed height is selected maximum scour hole depth. Yahagi River in Japan was selected as a case study due to comprehensive and accessible data base. A comparison of observed data and predicted values indicate a seasonable agreement between them.