Influence of rainfall data on the uncertainty of flood simulation
Walega A., Ksiazek L.:https://doi.org/10.17221/156/2015-SWRCitation:Walega A., Ksiazek L.: (2016): Influence of rainfall data on the uncertainty of flood simulation. Soil & Water Res., 11: 277-284.
The aim of this paper was to determine the influence of factors related to rainfall data on the uncertainty flood simulation. The calculations were based on a synthetic unit hydrograph NRCS-UH. Simulation uncertainty was determined by means of GLUE method. The calculations showed that in the case of a catchment with limited meteorological data, it is better to use rainfall data from a single station located within the catchment, than to take into account the data from higher number of stations, but located outside the catchment area. The parameters of the NRCS-UH model (curve number and initial abstraction) were found to be less variable when the input contained rainfall data from a single rainfall station. It was also manifested by a lower uncertainty of the simulation results for the variant with one rainfall station, as compared to the variant based on the use of averaged rainfall in the catchment.Keywords:
calibration; GLUE method; model quality; rainfall-runoff modelReferences:
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