stochastic modeling to prediction of local scour depht on the basis river morphologhical changes in braided river

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.