A comparison of three approaches to spatial generalisation of rainfall-runoff models

Kay, A. L. ORCID: https://orcid.org/0000-0002-5526-1756; Jones, D. A.; Crooks, S. M.; Calver, A.; Reynard, N. S. ORCID: https://orcid.org/0000-0002-5185-3869. 2006 A comparison of three approaches to spatial generalisation of rainfall-runoff models. Hydrological Processes, 20. 3953-3973. https://doi.org/10.1002/hyp.6550

Full text not available from this repository.

Abstract/Summary

The generalization of the parameters of rainfall-runoff models, to enable application at ungauged sites, is an important and ongoing area of research. This paper compares the performance of three alternative methods of generalization, for two parameter-sparse conceptual models (PDM and TATE), specifically for use in flood frequency estimation using continuous simulation. Two of the methods are based on fitting regression relationships between catchment properties and calibrated parameter values, using weighted or sequential regression (with weights based on estimates of calibration uncertainty), and the third is based on the use of pooling groups, defined through measures of site-similarity based on catchment properties. The study uses a relatively large sample of catchments in Britain. For the PDM, the site-similarity method performs best, but not greatly better than either regression method, so there may be cases where the use of regression would be preferable. For the TATE model, weighted regression performs best (with a very similar level of performance to that of the PDM with site-similarity), whereas site-similarity performs worst (due to poor performance for catchments with higher baseflow), indicating that the choice of model and generalization method should not be separated. The use of sequential regression, which was developed to try to allow for parameter interdependence, shows no clear advantage for either model. Other than the poor performance of the TATE model with site-similarity for catchments with a higher baseflow index, there are no clear relationships between performance of any model/method and catchment type.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1002/hyp.6550
Programmes:	CEH Programmes pre-2009 publications > Water
UKCEH and CEH Sections/Science Areas:	_ Hydrological Risks & Resources
ISSN:	0885-6087
Additional Keywords:	flood frequency, continuous simulation, uncertainty, ungauged catchments, generalization, regionalization
NORA Subject Terms:	Hydrology
Date made live:	07 May 2008 09:12 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/2881

Actions (login required)

View Item

Document Downloads

More statistics for this item...