Stochastic Generation of Rainfall Pattern with RPG Model

The existence of random variables is the major reason for uncertainty in flood modeling. One of the major random variables that can affect the shape of flood hydrographs is storm pattern among others. Storm pattern include duration، depth and time distribution for any event producing its corresponding flood event. Therefore، uncertainty analysis of flood modeling depends on uncertainty analyses of those effective variables of storm pattern. RPG model is introduced and it used of Monte Carlo simulation and Bootstrap Resampling to generate rainfall pattern on Seymareh catchment. Result of this paper show that 90 percent of observed rainfall duration and 98 percent of observed rainfall pattern exit in generated RPG band.