Influence of rainfall data on the uncertainty of flood simulation

Andrzej Walega and Leszek Ksiazek
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Andrzej Walega: Department of Sanitary Engineering and Water Management and
Leszek Ksiazek: Department of Water Management and Geotechnics, University of Agriculture in Krakow, Krakow, Poland

Soil and Water Research, 2016, vol. 11, issue 4, 277-284

Abstract: 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 model (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlswr:v:11:y:2016:i:4:id:156-2015-swr

DOI: 10.17221/156/2015-SWR

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