Abstract
The serial application of a stochastic rainfall time series model and a rainfall-runoff model is an effective option in the event when historical discharge records are inadequate for determining quantile flood flows crucial in flood control applications. In this study, the Neyman-Scott clustered Poisson rectangular pulse rainfall model was applied to generate synthetic hourly and daily rainfall time series. This model was evaluated for quantiles for the different areas of Kamishiiba (Kyushu), Naha (Okinawa), and Sapporo (Hokkaido) in Japan. Sets of parameters were determined based on combinations of moments of the historical records. The quantiles of each synthetic time series were compared to the historical counterparts, yielding mixed results. In general, the model proved effective in matching the historical quantile except in periods in which a combination of rainfall sources such as convective, typhoon and/or frontal rainfall was dominant. An ideal combination of historical moments for generating model parameters for the objective was determined for the mentioned study areas, although it is recommended to employ a similar methodical test of moment combinations for regions elsewhere.
