To cope with this issue, stochastic disaggregation techniques are typically employed to produce possible, statistically consistent, rainfall events that aggregate up to the field data collected at coarser scales. However, in the real world there is limited availability of data at sub-hourly scales. Many hydrological applications, such as flood studies, require the use of long rainfall data at fine time scales varying from daily down to 1 min time step. Kossieris, Panagiotis Makropoulos, Christos Onof, Christian Koutsoyiannis, Demetris
In addition, different catchment descriptions.Ī rainfall disaggregation scheme for sub-hourly time scales: Coupling a Bartlett-Lewis based model with adjusting procedures It is proven by comparing rainfall-runoff measurements from four different residential catchments that the literature values of the hydrological reduction factor are over-estimated for this type of catchment. recommended literature values for residential areas. This paper presents an inconsistency between calculations of the hydrological reduction factor, based on measurements of rainfall and runoff, and till now. to determine with significant precision the hydrological reduction factor is implemented to account all hydrological losses except the initial loss. As the hydrological processes during a rainfall are difficult. In numerical modelling of rainfall caused runoff in urban sewer systems an essential parameter is the hydrological reduction factor which defines the percentage of the impervious area contributing to the surface flow towards the sewer. Assessment of runoff contributing catchment areas in rainfall runoff modelling