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Influence of rainfall data on the uncertainty of flood simulation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Andrzej WALEGA & Leszek KSIAZEK, 2016. "Influence of rainfall data on the uncertainty of flood simulation," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(4), pages 277-284.
    • Handle: RePEc:caa:jnlswr:v:11:y:2016:i:4:id:156-2015-swr
    DOI: 10.17221/156/2015-SWR
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    References listed on IDEAS

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    1. Xi Chen & Tao Yang & Xiaoyan Wang & Chong-Yu Xu & Zhongbo Yu, 2013. "Uncertainty Intercomparison of Different Hydrological Models in Simulating Extreme Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1393-1409, March.
    2. Pavel Kovář & Michaela Hrabalíková & Martin Neruda & Roman Neruda & Jan Šrejber & Andrea Jelínková & Hana Bačinová, 2015. "Choosing an appropriate hydrological model for rainfall-runoff extremes in small catchments," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(3), pages 137-146.
    3. Simon Wu & Jonathan Li & G. Huang, 2008. "Characterization and Evaluation of Elevation Data Uncertainty in Water Resources Modeling with GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(8), pages 959-972, August.
    4. Jairo Diaz-Ramirez & William McAnally & James Martin, 2012. "Sensitivity of Simulating Hydrologic Processes to Gauge and Radar Rainfall Data in Subtropical Coastal Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3515-3538, September.
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