Articles | Volume 18, issue 11
Hydrol. Earth Syst. Sci., 18, 4391–4401, 2014
https://doi.org/10.5194/hess-18-4391-2014
Hydrol. Earth Syst. Sci., 18, 4391–4401, 2014
https://doi.org/10.5194/hess-18-4391-2014

  05 Nov 2014

05 Nov 2014

Regional parent flood frequency distributions in Europe – Part 2: Climate and scale controls

J. L. Salinas1, A. Castellarin2, S. Kohnová3, and T. R. Kjeldsen4 J. L. Salinas et al.
  • 1Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
  • 2Department DICAM, School of Civil Engineering, University of Bologna, Bologna, Italy
  • 3Department of Land and Water Resources Management, Faculty of Civil Engineering, SUT Bratislava, Slovak Republic
  • 4Department of Architecture and Civil Engineering, University of Bath, Bath, UK

Abstract. This study aims to better understand the effect of catchment scale and climate on the statistical properties of regional flood frequency distributions. A database of L-moment ratios of annual maximum series (AMS) of peak discharges from Austria, Italy and Slovakia, involving a total of 813 catchments with more than 25 yr of record length is presented, together with mean annual precipitation (MAP) and basin area as catchment descriptors surrogates of climate and scale controls. A purely data-based investigation performed on the database shows that the generalized extreme value (GEV) distribution provides a better representation of the averaged sample L-moment ratios compared to the other distributions considered, for catchments with medium to higher values of MAP independently of catchment area, while the three-parameter lognormal distribution is probably a more appropriate choice for drier (lower MAP) intermediate-sized catchments, which presented higher skewness values. Sample L-moment ratios do not follow systematically any of the theoretical two-parameter distributions. In particular, the averaged values of L-coefficient of skewness (L-Cs) are always larger than Gumbel's fixed L-Cs. The results presented in this paper contribute to the progress in defining a set of "process-driven" pan-European flood frequency distributions and to assess possible effects of environmental change on its properties.

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