posted on 2016-05-03, 15:24authored byAlison L. Kay, Sue M. Crooks, Helen N. Davies, Christel Prudhomme, Nick S. Reynard
The impacts of climate change on hydrology are an important focus of research around the world, but the use of large ensembles to drive impact models is not necessarily straightforward and has to be redone when new projections are released. Here, an alternative sensitivity framework approach is demonstrated, using a set of typical response surfaces alongside the probabilistic UK Climate Projections (UKCP09). These projections comprise sets of 10,000 changes in a number of variables, available for 10 river-basin regions covering England and Wales. Estimates of the potential range of impacts on 20-year return period flood peaks are presented for different types of catchment in each region. Regional average impact ranges are compared for a number of time horizons and emissions scenarios. Results show clear differences in impacts between catchments of different types and between regions. South-East England has the highest impacts with the greatest uncertainty range, while the Dee region has the lowest impacts and smallest uncertainty range. Regional differences are due to both spatial differences in projections and a differing regional balance in the number of catchments of each type. Ease of application of multiple projections is a clear advantage of this sensitivity-based approach to impact assessment, which could be extended to other regions and sectors.
History
School
Social Sciences
Department
Geography and Environment
Published in
Regional Environmental Change
Volume
14
Issue
3
Pages
1215 - 1227
Citation
KAY, A.L. ... et al, 2014. Probabilistic impacts of climate change on flood frequency using response surfaces I: England and Wales. Regional Environmental Change, 14 (3), pp.1215-1227
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2014
Notes
The final publication is available at Springer via http://dx.doi.org/10.1007/s10113-013-0563-y