Revising the BFIHOST catchment descriptor to improve UK flood frequency estimates

Griffin, Adam ORCID: https://orcid.org/0000-0001-8645-4561; Young, Andy; Stewart, Lisa ORCID: https://orcid.org/0000-0003-4246-6645. 2019 Revising the BFIHOST catchment descriptor to improve UK flood frequency estimates. Hydrology Research, 50 (6). 1508-1519. https://doi.org/10.2166/nh.2019.166

Before downloading, please read NORA policies.

Preview

Text
N522470PP.pdf - Accepted Version
Download (1MB) | Preview

Official URL: https://doi.org/10.2166/nh.2019.166

Abstract/Summary

The estimate of the base flow index (BFI) based on the Hydrology of Soil Types (HOST) classification, BFIHOST, provides a measure of catchment responsiveness. BFIHOST is used with other variables to estimate the median annual maximum flood (QMED) in the UK standard Flood Estimation Handbook (FEH) statistical method and is also an explanatory variable in ReFH2, the FEH design hydrograph package. The current estimates of BFIHOST are derived from a restricted linear model, and a number of issues in the catchment dataset have been identified since the original work in 1995. The BFI calculated through base flow separation tends to be underestimated in clay-dominated catchments, and the calculation technique performs poorly in ephemeral catchments or those with missing data. The pragmatic bounding of BFI coefficients for permeable soils overlying aquifer outcrops is also problematic for small catchments. This paper investigates alternative regression methods to improve base flow estimates using the HOST class data for 991 stations (compared to 575 in the original); beta regression was found to give the best performance. Combining multiple rare classes into single classes is also shown to improve performance. The new version of BFIHOST was applied to the QMED equation, showing improved performance.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.2166/nh.2019.166
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	1998-9563
Additional Keywords:	base flow, catchment hydrology, regression methods, statistical hydrology
NORA Subject Terms:	Earth Sciences Hydrology Mathematics
Date made live:	04 Jun 2019 14:42 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/522470

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.2166/nh.2019.166

UKCEH and CEH Sections/Science Areas:

Hydro-climate Risks (Science Area 2017-)

ISSN:

1998-9563

Additional Keywords:

base flow, catchment hydrology, regression methods, statistical hydrology

NORA Subject Terms:

Earth Sciences
Hydrology
Mathematics