Booij, M.J.

Deckers, D.L.E.H.

Krol, M.S

Rientjes, T.H.M.

English

The objective of this study is to contribute to the reduction ofpredictive uncertainty in flows in ungauged basins through application of aregionalization method to 56 well-gauged basins in the United Kingdom. Theclassical approach of regionalization is adopted, where regression relationshipsbetween calibrated hydrological model (HBV) parameters and physicalcharacteristics of the basin are established and used to estimate parameters forungauged basins. The calibration resulted in optimum parameter sets for 48basins of which 17 were used for the regression analysis. The results of theregression analysis showed statistically significant relationships for six out ofseven parameters, and hydrologically sensible relationships for only threeparameters. The validation for eight basins revealed that the regionalizationmodel does not perform satisfactorily. The use of default parameter valuesseems to favour the use of regionalized parameter values. Therefore, theapplicability of the classical approach of regionalization for HBV aiming atsimulating all aspects of the hydrograph is questioned

University of Twente Research Information

Regionalization for uncertainty reduction in flows in ungauged basins

https://ris.utwente.nl/ws/files/40654917/rientjes_reg.pdf

Regionalization for uncertainty reduction in flows in ungauged basins

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University of Twente Research Information