Influence of the highest values on the choice of log-Poisson random cascade model parameters

Abstract : Urban drainage systems usually equip small size catchments, with a response time as short as a few tenth of minutes. Hydrological simulation of these urban catchments requires rainfall time series at a very fine temporal resolution. Most of the time, available rainfall data consist of daily or hourly measurements. It is then appealing to design rain simulation models able to disaggregate observed data into rain rate series at shorter time steps. Random cascade models are candidate tools for performing this disaggregation process. The objective of this study is to evaluate the ability of cascade model for performing realistic and robust rain series suited for needs of urban hydrology. (C) 2001 Elsevier Science Ltd, All rights reserved.