Regionalization for uncertainty reduction in flows in ungauged basins

M.J. Booij, D.L.E.H. Deckers, T.H.M. Rientjes, M.S Krol

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

35 Downloads (Pure)


The objective of this study is to contribute to the reduction of
predictive uncertainty in flows in ungauged basins through application of a
regionalization method to 56 well-gauged basins in the United Kingdom. The
classical approach of regionalization is adopted, where regression relationships
between calibrated hydrological model (HBV) parameters and physical
characteristics of the basin are established and used to estimate parameters for
ungauged basins. The calibration resulted in optimum parameter sets for 48
basins of which 17 were used for the regression analysis. The results of the
regression analysis showed statistically significant relationships for six out of
seven parameters, and hydrologically sensible relationships for only three
parameters. The validation for eight basins revealed that the regionalization
model does not perform satisfactorily. The use of default parameter values
seems to favour the use of regionalized parameter values. Therefore, the
applicability of the classical approach of regionalization for HBV aiming at
simulating all aspects of the hydrograph is questioned.
Original languageEnglish
Title of host publicationQuantification and reduction of predictive uncertainty for sustainable water resources management : proceedings of symposium HS2004 at IUGG2007, Perugia, 7-13 July 2007. (IAHS Publication ; 313)
EditorsEva Boegh, Harald Kunstmann, Thorsten Wagener, Hall Alan, Luis Bastidas, Stewart Franks, Hoshin Gupta, Dan Rosbjerg, John Schaake
Place of PublicationWallingford, UK
PublisherWallingford: IAHS
ISBN (Print)978-1-901502-09-1
Publication statusPublished - 2007


  • ADLIB-ART-231
  • WRS

Cite this