Synthetic Flow Generation with Stochastic Models

Evaluation the Best Random Component in Modified Thomas-Fiering Model in Generating Rainfall Data for Akre station

“…The forecasting methods have been widely used in the prediction of stream flows (Stedinger and Taylor, 1982) and the prediction of rainfall (Yousif et al, 2016). The predicted time series from the stochastic models is as important as the real available data in the planning, design, and operating of water resources systems (Wijayaratne and Chan, 1987). Thomas and Fiering (1962) were first explored the role of using stochastic methods in the water resources systems planning and operating through the generation of synthetic times series of stream flows through Monte Carlo simulation.…”