nerc.ac.uk

Reservoir Safety - long return period rainfall

Stewart, E.J. ORCID: https://orcid.org/0000-0003-4246-6645; Jones, D.A.; Svensson, C.; Morris, D.G.. 2010 Reservoir Safety - long return period rainfall. In: Pepper, Andrew, (ed.) Managing dams: challenges in a time of change. London, Thomas Telford, 75-86.

Before downloading, please read NORA policies.
[img] Text
Stewart_et_al-final_new_footer.pdf - Submitted Version
Restricted to NORA staff only

Download (297kB)

Abstract/Summary

Recent research funded by Defra has developed a new statistical model of point rainfall depth-duration-frequency (DDF) for the UK, to replace the current Flood Estimation Handbook (FEH) DDF model. The project was commissioned in response to concerns expressed by reservoir engineers about the apparently high estimates produced by the FEH DDF model when it was applied to return periods in excess of its recommended upper limit of 1,000 years. Within the project, the framework of the FEH model has been retained, but each of its components has been substantially revised and the dataset of annual maxima rainfalls to which the model is fitted has been updated. Comparisons with the FEH model show that rainfall estimates from the new model are generally lower for a given return period, except for shorter durations in Scotland. Further work to develop a new software implementation to allow the model to be applied at any location in the UK is planned for 2010.

Item Type: Publication - Book Section
Programmes: CEH Topics & Objectives 2009 - 2012 > Water > WA Topic 3 - Science for Water Management > WA - 3.1 - Develop next generation methods for river flow frequency estimation and forecasting
UKCEH and CEH Sections/Science Areas: Boorman (to September 2014)
ISBN: 9780727740991
Additional Keywords: rainfall, extremes, rarity, frequency estimation
NORA Subject Terms: Meteorology and Climatology
Hydrology
Date made live: 15 Dec 2010 09:19 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/12372

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...