Regionalization for uncertainty reduction in flows in ungauged basins

Martijn J. Booij, Dave L.E.H. Deckers, Tom H.M. Rientjes, Martinus S. Krol

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
30 Downloads (Pure)

Abstract

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
Subtitle of host publicationProceedings of Symposium HS2004 at IUGG2007, Perugia, 2-13 July 2007
EditorsEva Boegh, Harald Kunstmann, Thorsten Wagener, Alan Hall, Luis Bastidas, Stewart Franks, Hoshin Gupta, Dan Rosbjerg, John Schaake
Place of PublicationWallingford, UK
PublisherIAHS Press
Pages329-337
ISBN (Print)978-1-90150278-09-1
Publication statusPublished - 2 Jul 2007
EventIUGG XXIV General Assembly 2007: Earth: Our Changing Planet - Perugia, Italy
Duration: 9 Jul 200713 Jul 2007
Conference number: 24

Publication series

NameIAHS publication
PublisherIAHS Press
Number313
ISSN (Print)0144-7815

Conference

ConferenceIUGG XXIV General Assembly 2007
CountryItaly
CityPerugia
Period9/07/0713/07/07

Keywords

  • Monte Carlo analysis
  • HBV model
  • Validation
  • United Kingdom
  • multiple objective function
  • IR-78696
  • regionalization
  • Calibration
  • METIS-240416
  • Uncertainty

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